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70-26,361

SEELS, Barbara Ann B illings, 1940- CONCEPTS AND COMMUNICATION.

The Ohio State U niversity, Ph.D., 1970 Education, theory and practice

University Microfilms, A XEROX Company, Ann Arbor, Michigan

© 1971

Barbara Ann B illin g s Seels

ALL RIGHTS RESERVED

THIS DISSERTATION HAS BEEN MICROFILMED EXACTLY AS RECEIVED CONCEPTS AND COMMUNICATION

DISSERTATION

Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University

By

H i U ' l Barbara:Billings Seels

******

The Ohio State University 1970

Approved by

\dviser School of Education ACKNOWLEDGMENTS

I am grateful to those whose discerning questions forced me to present the data with greater clarity and precision: Dr. Edgar

Dale, Dr. Daniel Stuffelbeam, Dr. Robert Wagner.

1 1 VITA

February 18, 1940. . . Bom - Syracuse, New York

1969 ...... Student, U niversity of B r isto l, England

1961 ...... A.B., Bucknell University, Lewisburg, Pennsylvania

1962 ...... Research Assistant, Syracuse University, Syracuse, New York

1963 ...... M.S., Syracuse University, Syracuse, New York

1963 ...... Instructor, Clarion State College, Clarion, Pennsylvania

1964 ...... Research Assistant, University of Pittsburgh, Pittsburgh, Pennsylvania

1965-1967 ...... Research Assistant, The Ohio State University, Columbus, Ohio

1969 ...... Director of Educational Resources, McGuffey School D istrict, Claysville, Pennsylvania

PUBLICATIONS

Bradford, James and Seels, Barbara. "Center of Adventure." Columbus: The Ohio State University, 1966. (Film)

Dale, Edgar and Seels, Barbara. "Readability and Reading, An Annotated Bibliography." Newark: International Reading Association, 1966.

D ale, Edgar and S eels, Barbara. "Ten Important References on Read­ ability." Elementary English (December, 1966).

Seels, Barbara. "How Can Students be Good Actors?" Educational Screen and Audiovisual Guide, 45 (July, 1966), 32-33.

FIELDS OF STUDY

Major Field: Communications

Studies in Communications. Professor Edgar Dale

Studies in Motion Pictures. Professor Robert Wagner

Studies in Educational Research. Professor Daniel Stuffelbeam

111 TABLE OF CONTENTS

Page

ACKNOWLEDGMENTS...... i i

VITA...... i i i

LIST OF TABLES...... ix

LIST OF ILLUSTRATIONS...... x

Chapter

I . INTRODUCTION ...... 1

Objectives and Scope of the Study ...... 1

Assumptions of the Study ...... 2

Methodology of This Study ...... 3

Organizational Plan for This Report...... 3

Background o f the Problem ...... 5

I I . THE MEANING OF CONCEPT...... 12

Interpretations from Psychology ...... 14

Interpretations from Philosophy ...... 17

A Definition of "Concept" ...... 25

Response Discriminatory Symbolized The Definition

Glossary of Conceptual Communication Terminology . . . 30

I I I . THE CHARACTERISTICS OF CONCEPTS...... 33

The Dimensions of Concepts ...... 33

IV Chapter Page

Variable C haracteristics ...... 34

The Forms of Concepts ...... 35

M odalities Models Definitions Classifications Multi-form Concepts

The Effects of Concepts ...... 43

Primary E ffects of Concepts Secondary Effects of Concepts

The Content of Concepts ...... 50

The Characteristics of Content The Continua for Content The Theoretical Level of Content The Experiential and Logical Content The Kinds o f Logical Content

The Type o f Concept Learning ...... 55

Forms of Concept Learning Concept Learning Tasks Methods of Concept Learning

Conceptual Style ...... 65

Conceptual Ability Category Width and Differentiation Cognitive Structure Research Directions

Amount and Application of Conceptualization ...... 71

Retention Transfer

IV. THE PROCESS OF CONCEPTUALIZATION...... 88

The Role of Recoding ...... 88

Nerve Pathways Excitation and Inhibition Phenomenon

The Role of the Reticular Formation ...... 104 Chapter Page

The Reticular Activating System Brain Wave Patterns

The Role of Symbolic Responses ...... 115

The Role of Stored Responses ...... ' 120

The Role of Individual Differences ...... 127

The Role of Media D e sig n ...... 137

V. CURRICULUM DESIGN...... 140

Providing Experiences ...... 141

Guidance in Conceptualization ...... 142

Critical Thinking The Development of C reativity Vocabulary Development Conceptual Analysis

Issues in Curriculum ...... 147

Discovery v. Reception Learning Facts V. Skills v. Ideas

Recent Curriculum Projects ...... 155

SMSG SCIS Science—A Process Approach BSCS CHEM CBA PSSC

VI. AUDIOVISUAL DESIGN...... 169

I . Cuing Factors ...... 170

S e t...... 170

D irections Pretraining Pretesting Nature of the Learning Task

Cuing...... 17 5

Familiarization

VI Chapter Page

A v a ila b ility o f Cues Presentation Order Perceptual Principles Channel U tiliza tio n Compelling Stimuli Abstraction Prompting

II. Stimulus Factors ...... 196

The Medium...... 19’6

The Cone of Experience The Hot-Cold Continuum

The Content ...... 209

Instances in Content Attributes of Instances Amount o f Content Approach to Content Treatment Structuring Editing

III. Response Factors ...... 242

Rate of Responding ...... 242

Pacing Rate o f Development Task Size

Type o f Response ...... 247

Type of Strategy Type of Activity Type of Practice

Feedback to Response ...... 271

Amount and Type o f Feedback Ratio and Timing of Feedback Postfeedback Interval

VII. THE CHARACTERISTICS OF THE CONCEPTUALIZER...... 282

Age Differences...... 283

Mental Development Jean Piaget's Work Jerome Kagan’s Work

v i i Chapter Page

Harvey, Hunt and Schroder's Work The Growth of Intellectual Abilities Verbal and Nonverbal Development Aging

Sex Differences ...... 305

Personality Differences ...... 312

Conceptual Systems P ersonality Types Authorita rianism Introversion-Extraversion Mental Disturbance

Ability Differences...... 326

Mentally Retarded Culturally Deprived Middle Class Rural/Suburban/Urban Primitive/Modem P hysically Handicapped Gifted Creative

V III. GUIDELINES FOR STUDY AND PRAGTICE...... 350

Basic Research on the Communication of Concepts. . • . 350

The Study of Interacting Factors ...... 354

D irections for Research on the Communication

of Concepts ...... 362

Guidelines for Practice ...... 363

Issues in the Communication of Concepts...... 366

A New Paradigm for Study and P ra ctice ...... 367

APPENDIX. Tests for the Characteristics of Conceptualizing. . . 370

BIBLIOGRAPHY ...... 375

V l l l LIST OF TABLES

T a b le Page

1. The Characteristics Attributed to Concepts by Different Theoretical Approaches ...... • • 15

2. A Comparison o f T heoretical Approaches ...... 17

3. The Position of Modern Philosophers on the Nature of a "Concept" ...... 21

4. A Comparison o f Reception and Discovery Learning A pproaches ...... 152

5. Topic Classification of Biological Concepts ...... 164

6. A Comparison o f Media C h aracteristics ...... 206

7. S trategies for Responding to Conjunctive Concept Attainment T asks ...... 251

8. S trategies for Responding to D isjunctive Concept Attainment T asks ...... 253

9. Learning Conditions and Appropriate Response Activity* * • 265

10. A Comparison o f Practice Conditions and E ffe c ts ...... 270

11* Piaget's Theory of Mental Development ...... 284

12. D efin ition s and Examples of Training Conditions ...... 317

13. Poles of Conceptual System at Each Stage ...... 318

14. Interaction between Training Conditions and Stages of Development ...... 319

15. Conceptual Characteristics of Learners of Different Types of A bilities ...... 348

16. Characteristics Which Interact in the Communication of Concepts ...... 355

17. A Taxonomy of Characteristics Which Interact in the Communication of Concepts ...... 356

IX LIST OF ILLUSTRATIONS

Figure Page

1. Relations o f the D ifferent Meanings o f "Abstract" and "Abstraction" Used on Experiments ...... 13

2. The. E ffects of C oncepts ...... 44

3. The Successive Effects of Concepts as Stimuli, Cues, Associations and Responses ...... 46

4. Types of Concepts ...... 51

5. Types of Content ...... 51

6. Types of Ambiguous Concepts ...... 52

7. Contributors to the Type o f Concept Learning ...... 58

8. Stimulus and Response Generalization- . » ...... 59

9. Secondary Generalization ...... 59

10. The Lobes o f the Brain ...... 91

11. The Direction of Association Fibers in the Cortex .... 92

12. The Direction of Projection Fibers in the Cortex ...... 92

13. Cut Away of the Commissural Fibers in the Cortex ...... 92

14. The Eyes and the Visual Projection System ...... 94

15. The Arrangement o f S triate C ells ...... 95

16. The Sensory Pool ...... 106

17. Brain Wave Patterns Indicative of Mental States ...... 109

18. Speech Areas ...... 117

19. Association Areas ...... 118

20. The Development of the Cortex ...... 128

21. The Creative Analysis Approach ...... 145

X Figure Page

22. A Process Hierarchy: Using Space/Time Relationships ...... 159

23. Topic Classification Dimensions—Classroom Interaction Analysis ...... 162

24. The Cone of Experience ...... 197

25. Difficulty as a Function of Number of Relevant and Irrelevant Attributes ...... 214

26. Example of Relevancy and Redundancy of Attributes .... 217

27. Relative Effect on Learning of Increasing Attributes of Different Types ...... 218

28. Successive Presentation Situations ...... 220

29. Desirable Successive Presentation Conditions ...... 221

30. Keys to Basic Arrangements and Space D ivision ...... 240

31. Cyclical and Saccadic Nature of Progressive Social Development ...... 296

32. The Development of General Learning Ability as Shown by Three In telligen ce Tests ...... 301

33. The Relationship between Categories of Characteristics in the Communication of Concepts ...... 361

XI "The civilization of the symbol,

replacing that of the image,

is only just the beginning."

—George Mathieus,

Travel Poster Artist

for Air France

X I 1 CHAPTER I

INTRODUCTION

Ob.iectives and Scope of the Study

This study begins with the premise that the variable character­

istics of concepts formed are influenced by the way in which a concept

is communicated. It aims to find support for this premise and to de­

velop instructional implications when such support is found.

The characteristics of the communication might be called inde­

pendent variables, the characteristics of the learner, intervening

variables and the characteristics of the concept formed, dependent

variables. From what is known of the interaction of these variables,

principles for the design of messages are developed.

The objectives of this study are to answer the following questions:

1. What is the nature of a concept?

2. What are the important theoretical issues related to the

communication of concepts?

3. What characteristics do concepts have, and to what extent

are these characteristics dependent on variables in the

communication o f concepts?

4. What available empirical findings help us understand the

processes involved in the communication of concepts? 2

5. What curriculum approaches for developing conceptual

ability have been tried and with what success?

6. How is success in the communication of concepts related

to differences in media, materials, methods, learners?

7. What instruments and methods are available for studying

th e communication o f concepts?

8. What gu id elin es can the teacher use for the communication

of concepts?

To reach these objectives the report surveys the variable char­

acteristics of the conceptual process, of the communication process,

and of the learner. The study does not aim to present an exhaustive

survey of literature on concept formation. Rather it concentrates on

literature that has direct relevance for the communication of concepts.

In other words, although the study discusses the theoretical issues

involved in stimulus generalization, the writer does not cite research

studies on stimulus generalization unless the study can be interpreted as having significant meaning for the communication of concepts.

Assumptions of the Study

1. It is assumed that the analytical ability of the investiga­ tor w ill vary depending on the topic under investigation. When the analysis is necessarily limited by the ability of the investigator, the investigator w ill present as mpch of the data as possible.

2. Time limitations make it impossible to go to the original source for all the findings to be considered. It is assumed that it is acceptable to delegate some of the critical review of literature to previous reputable and credible reviewers. Methodology of This Study

This study uses ex post facto procedures. It also uses theory

construction techniques such as definition, model building and postu­

late derivation. The methodology can be described as historical-

theoretical.

The source material consists mainly of articles from learned

and semi-learned journals and of relevant books. Traditional tech­

niques of library research are employed in analyzing this literature.

Journals of abstracts, bibliographies and works known to the writer

are the starting point, along with indexes. The works cited in these

indexes contain bibliographies which lead to additional material. This

snowballing continues until the returns become so slight that it is un­

profitable to continue.

The primary object of the search is to locate a ll published

reports dealing with the communication of concepts. Evaluations of

the success of the various curriculum approaches are requested from

those involved in the application of the approaches. The evaluations

of curriculum approaches solicited are presented in Chapter V,

"Curriculum Design." The writer notes whenever the information given

is opinion, and not documented research, and tries to separate the em­

pirical from the nonempirical.

Organizational Plan for This Report

The report is organized in chapters which respond to the ques­ tions listed as objectives on pages 1-2.

The first chapter explains the study. 4

The second chapter addresses itself to question one, What is the

nature of a concept? The second chapter deals with terminology problems.

In it the question of the meaning of "concept" is discussed and a glos­

sary of terms related to the communication of concepts as used in this

report is presented. Chapter II also considers question two, What are

the important theoretical issues related to the communication of

concepts?

The third chapter addresses itself to the question. What char­

acteristics do concepts have, and to what extent are these characteris­

tics dependent on variables in the communication of concepts? Subsumed

under this question are the topics of amount and use of conceptualiza­

tion (retention and transfer).

Chapter IV asks. What empirical findings help us understand

the processes involved in the communication of concepts? Chapter IV

discusses the internal processes during which conceptualization can be

influenced. The neurophysiology of conceptualization, the effects of

motivation and attention, and the processes of imagery and verbaliza­ tio n w ill be studied in Chapter IV.

In Chapters V and VI theory and research on curriculum design and on audiovisual communications design are presented. Chapters V and VI explain how the characteristics of concepts can be influenced by the design and external transmission of messages. Chapter V de­ scribes, What curriculum approaches for developing conceptual ability have been tried and with what success? Chater VI explains how success in the communication of concepts is related to differences in media, materials and methods. 5

Chapter VII explains how success in the communication of con­

cepts is related to differences in learners. The chapter acquaints the

reader with the learning characteristics of different types of concep-

tualizers. The types of conceptualizers are organized according to age,

sex, and personality differences and according to ability differences

due to biological or environmental development.

Chapter VIII answers questions seven and eight. Chapter VIII

ou tlin es the methods available for studying the communication of con­

cepts. Chapter VIII also suggests guidelines that the teacher can fol­

low for the communication of concepts. The guidelines w ill be given in

the form of questions to ask about a conceptual communication situation.

A paradigm of the interaction between the types of variables in the com­

munication of concepts is presented in Chapter VIII. A taxonomy of

characteristics which interact in the communication of concepts is in­

cluded in Chapter VIII. This chapter also briefly summarizes chrono­

logical developments in the study of conceptual communication and sug­

gests methods for future study in this area.

Next, a list of tests for the characteristics of concepts is

presented as an appendix. Finally, a bibliography of references used

for this report is presented.

Background o f th e Problem

Previous reviews of literature have concentrated on one of the

eight questions listed on pages 1-2. None of the previous reviews has tried analysis and synthesis of the answers to all eight questions.

Anatol Pikas tries to answer questions one and two. He tries to identify the nature of a concept and the important theoretical 6

issues related to the communication of concepts. In his book,

Abstraction and Concept Formation, Pikas compares d efin itio n s of terms

related to concept formation and traces the major lines of research:

research on abstraction and concept formation, research on stimulus

generalization, research on concept formation and negative transfer,

research on concept attainment, research on symbol formation. (Pikas,

1966)

Most of the studies that Pikas reviews are from the field of

experimental learning psychology. The subtitle of the book is "An

Interpretive Investigation into a Group of Psychological Frames of

Reference." Pikas discusses (l) the difficulties in using the term

abstraction, (2) the dimensions of concepts and (3) varying abilities

of conceptualizers. Pikas does not try to relate his conclusions or

the conclusions of research to principles of communications design.

Abstraction and Concept Formation c la r ifie s the research on

concept formation but not completely. Perhaps one reason that the

book is not entirely successful is that it needs a topic to help re­

late the various schools of research. The construct "abstraction" does not seem to have been adequate for relating the various schools.

Another reason is that Pikas encounters so many problems of terminology that the book lacks readability. Pikas emphasizes the importance of a process he calls recoding, which is related to memory storage.

Textbooks in audiovisual education deal with question three.

What characteristics do concepts have and to what extent are these characteristics dependent on variables in the communication of con­ cepts? 7

A 1937 p u b lication . V isualizing the Curriculum, uses a continuum

of concrete to abstract experiences to explain the development of gen­

eralizations. The authors of Visualizing the Curriculum, C. F. Hoban,

C. F. Hoban, J r ., and Samuel B. Zisman sta te ( l ) th at mental develop­

ment occurs through wide and varied differentiation of concrete material,

and (2) that differentiated concrete responses are integrated into a

type of response known as abstraction and generalization. (Hoban, Hoban,

and Zisman, 1937, pp. 16-25) According to Hoban, Hoban, and Zisman,

concepts which are well integrated in a learner's cognitive structure

are a function of the suitability of the way in which the concept is

communicated to the learn er's previous experience.

In 1946 Edgar Dale introduced a textbook on using materials for

teaching. His t e x t , Audio-Visual Methods in Teaching, stressed the need

to use materials to build concepts. (Dale, 1946) Audio-Visual Methods

in Teaching presented the cone of experience to explain how type of

material was related to type of experience and level of conceptual development.

Succeeding textbooks in the audiovisual field , such as A-V

In stru ction ; M aterials and Methods (Brown, Lewis and Harcleroad, 1964) and Audiovisual Materials: Their Nature and Uses (Wittich and Schuller,

1967), also suggest that materials have value for building concepts.

Unfortunately, however, the audiovisual education textbooks do not give the teacher adequate guidance in how to encourage concept formation.

Empirical findings about the concept formation process have not been formulated into principles useful for the teacher.

Bernard Berelson and Gary Steiner try to answer question four.

What available empirical findings help us to understand the processes 8

involved in the communication o f concepts? Berelson and Steiner present

principles of learning related to the communication of concepts in Human

Behavior. (Berelson and Steiner, 1964) The principles are presented in

separate chapters on "Learning and Thinking," "Mass Communication," and

"Attitudes and Beliefs." There is no chapter on audiovisual design.

Although Human Behavior gives useable, understandable principles, its

list of principles is incomplete. For example, the effects of verbali­ zation on concept formation are not cited. Human Behavior does not ex­ plore theoretical issues. The reader of Human Behavior must formulate any relation sh ip s which e x ist between the prin cip les o f concept forma­ tion and types of personality.

Question five is . What curriculum approaches for developing conceptual ability have been tried and with what success? Question five has not been adequately answered by previous reviews of litera­ tu re.

A summary of findings on concept learning has been produced under a contract with the Office of Education by H. Klausmeier.

(Klausmeier, 1964) The summary relates the results of and theory be­ hind experiments conducted in order to determine the strategies and the related cognitive processes that individuals use in attaining con-

f. '■ cepts. Included in the summary are experiments conducted by J . Bruner,

H. Klausmeier, G. Miller, S. Ericksen and J. Byers. The success of the various strategies is related only slightly to type of personality and use of media. The report concentrates on relating learning strategy to type of concept to be formed. Klausmeier's report is not an answer to question five because learning strategies are not made comparable with curriculum strategies. 9

Question six asks, How is success in the communication of con­

cepts related to differences in media, materials, methods and learners?

A. A. Lumsdaine relates the findings of psychology to audiovisual commu­

nications in a review of research given in The Handbook of Research on

Teaching. (Gage, 1963) His chapter is entitled "Instructional Material

and Methods o f Teaching." Lumsdaine summarizes the p rincip les o f learn­

ing found to be most relevant for audiovisual communication design. He

cites the audiovisual studies that have evaluated an application of these principles. Lumsdaine’s chapter, however, is concerned with com­

munication for learning in general, not with the findings on communica­ tion for the specific type of learning, concept learning.

The study. Human Conceptual Behavior by Lyle Bourne J r ., ex­ plores the field of conceptual behavior research, especially recent research on the learning of relevant and irrelevant attributes. Un­ fortunately, Bourne does not try to develop guidelines for media design from his survey of laboratory research. (Bourne, 1966)

The book. Conceptual Systems and Personality Organization, presents the theory that d ifferen t methods o f conceptual communication have different effects with different personality types. Harvey, Hunt and Schroder analyze the research on childhood training and relate it to the type of conceptual structure an individual develops. They say that conceptual structure is a typical way of seeing or reacting to ideas. It is a personality characteristic. The authors suggest the best ways for communicating with each type o f conceptual structure.

(Harvey, Hunt and Schroder, 1961)

While there are reviews of litera tu re which respond to one or more of the questions given on pages 1-2 of this report, there are no 10

previous studies which try to answer all the questions on pages 1-2.

Nor do any of the previous studies attempt to develop a primitive sys­

tem for analyzing and synthesizing the diverse information presented

in response to the questions on pages 1-2. Moreover, none of the re­

views of literature correlates the findings of several areas in order

to suggest guidelines for teachers and curriculum or materials de­

signers .

In summary, research related to the communication of concepts

has been done in the areas of experimental psychology, social psy­

chology, sociology, anthropology, linguistics, education, communica­

tion, biochemistry, and neurophysiology. The findings which have re­

sulted have not been useful to teachers for these reasons:

1. The findings in each area have not been integrated with

the findings in other areas: nor has basic research been

coordinated with applied research.

2. The meaning of "concept” is not clear. Because the term

"concept" lacks precision, there is a problem of termi­

nology. I t is d if f ic u lt to communicate findings about

concepts because one must continually explain the

meaning of words such as image, gen eralization , symbol,

concept.

3. The findings have not been adequately collected, organ­

ized and disseminated.

What is needed is a critical review of related literature in many fields to derive useful principles about conceptual communication.

The theoretical issues need to be clarified so that researchers. 11

curriculum s p e c ia lists and teachers are aware of the questions which

should be considered.

There is a need for study from a point of view of a generalist

familiar with the fields of education, communication and psychology.

Such a study should analyze and synthesize the responses to the ques­

tions on pages 1-2. This report is designed to fu lfill these needs.

This study was designed to benefit from the previous studies

and to overcome th eir lim ita tio n s- The study draws on the references

by A. Pikas, B. Berelson and G- Steiner, H. Klausmeier, A. A.

Lumsdaine, Lyle Bourne J r., and by 0. Harvey, D. Hunt and H- Schroder-

The study also draws on audiovisual textbooks. This report uses the

concept of communication for concept formation to relate the theory and findings culled from a survey of these references. The study is designed to overcome the limitations of these previous reviews of literature by being (1) more complete, (2) more readable, and (3) more systematically applicable. CHAPTER II

THE MEANING OF CONCEPT

The writer started with the question, What does "concept” mean?

because this was basic to any understanding of the communication of

concepts. The problem was to conceptualize "concept." One conceptu­

alizes by identifying the attributes which characterize a thing or an

idea. Attempts to do this soon revealed that the attributes of con­

cept seemed to f a l l into two cla sses: variant and invariant or de­

fining and non-defining.

In order to define "concept" by analyzing defining and non­

defining attributes, it is necessary to consider an attribute in a

particular manifestation. For example, form may vary from concept

to concept. The concept may take the form of a definition, a classi­

fication, a model or a visual image. The attribute form, however,

may also be defining or essential. A "concept" must have a form. If we accept the fact that a characteristic may always be present in a

concept yet may differ from concept to concept, the terms variable and definitive become more acceptable. An attribute of a concept may be defining and invariant in one sense and variable in another. A concept always functions as response, yet as a response its function can vary.

It can serve as a cue, as an implicit association or as an overt re­ sponse. In each case it is a conceptual response, but the nature of the conceptual response varies. The point of this discussion of

12 13

variant and invariant attributes of concepts is that various concepts

may be defined differentially in terms of a common set of dimensions.

Confusion over the meaning of concept has compounded over the

years. Pikas has represented diagrammatically the different meanings

of "abstract"abstraction" and "conceptual” used in experiments over

the years.

-primary and perceptual secondary and conceptual-

(abstrahere) ^^generalizing abstraction'/ The p io ­ ("to take away") "concept neer use "isolating abstraction" forming" function o f the terms

The com­ "theoretical" mon sense (e.g. "abstract words") use (a lso in research)

V The use during "discrimination" "symbolical" "conceptual" the la s t few decades "structural"

Fig. 1— Relations of the different meanings of "abstract" and "abstraction," used in experiments. (Pikas, 1966, p. 112, Figure 3)

Further confusion resulted when some researchers equated con­

ceptual with non-representational or non-realistic experience while others required realistic experience for concept formation. (Allen,

1964) This researcher set out to discover the inconsistencies and consistencies of definitions of "concept." It was believed that the consistencies between definitions might lead to the definitive charac­ teristics of "concept." The definition of concept used in this study 14 was based in part on a comparison of the various theoretical interpre­ tations of concept and by a survey of the usage of "concept" in research experiments and in textbooks.

Interpretations from Psychology

Two tables were prepared by this writer to help the reader see more clearly and concisely the characteristics attributed to concepts by the different schools of psychology. The tables help visualize the sim ilarities between definitions (which suggest the definitive charac­ teristics of "concept") and the dissimilarities between definitions

(which suggest variable characteristics of "concept").

The definitive characteristics of a concept indicated by the comparison of psychological approaches include a response which is learned 5 which is discrim inatory, which mediates learning and which is often given some representative form. 15

TABLE 1

THE CHARACTERISTICS ATTRIBUTED TO CONCEPTS BY DIFFERENT THEORETICAL APPROACHES

D efin ition Characteristics of the Approach o f Concept Process of Conceptualization

STRUCTURALISM A conscious Conscious association with stim­ association uli (words) by means of ideas, feelings, sensations, images

FUNCTIONALISM A learned Motivated by need to adjust to discrimination environment; S-R bond formed physiologically; related to capacity

DYNAMIC A subcon­ Persisting personal modes of PSYCHOLOGY sciou sly reaction determine nature of determined adaption by conceptualization; response can be formed from a sin gle experience (traumatically) but need not be; influenced by in ­ teraction between personality and environment

GESTALT A structured Consciously organized according PSYCHOLOGY perception to patterns or laws of percep­ which tion; formation of a cognitive mediates map for perceiving; insight use­ ful in restructuring; construc­ tion of a conceptual foundation for perception

BEHAVIORISM A conditioned S-R chained response; discrimi­ response nation of stimuli and differen- tiation of response required; establishment of habits, reflexes 16

TABLE 1—Continued

D efinition Characteristics of the Approach o f Concept Process of Conceptualization

VERBAL A categorical Formation o f an im p licit asso- LEARNING response ciational response that has to have meaning, such as a cate­ gory name; involves differentia­ tion and association of re­ sponse; frequency of responding affects meaning; generalization required; rote learning can lead to meaning

DEVELOPMENTAL An expressive Formed by operations; individual PSYCHOLOGY response differences in mental development expressed in level of abstraction of concept formed

MEDIATION A mediated Representation o f meaning and PSYCHOLOGY response several mediating associations which provide meanings (word and meaning); connotative and denotative meaning associated with a word; gradual generaliza­ tion; intervening variables im­ portant; emotional reactions can influence without practice

PROBLEM A set for General principle for responding; SOLVING responding sets, strategies, hypotheses mediate problem solvin g, complex discrimination learning; innate and developed concepts mediate concept formation 17

TABLE 2

A COMPARISON OF THEORETICAL APPROACHES

D efin ition Characteristics Attributed to Approach of Concept the Process of Conceptualization

POINTS ON A type of Associative; discriminatory; WHICH THERE response learned; mediational, represent­ IS MUCH ative; affected by individual AGREEMENT differences; motivated

POINTS ON What type Amount of generalization re­ WHICH THERE of response quired; amount of conscious IS MUCH DIS­ association; complexity of dis­ AGREEMENT crimination; how motivated; type of learning involved; de­ termined by personality, con­ ditioning or previous learning; mode of representation—cogni­ tiv e map, word and meaning, hypotheses, abstraction, per­ ception, implicit or explicit association

Interpretations from Philosophy

Some of the consequences flowing from the more recent philo­

sophical beliefs about the nature of concepts were considered. One of

the potent ideas produced by modern philosophical analyses is the im­

portance of symbolic transformation for conceptual thinking. As de­

scribed by Susan Langer, symbolic transformation refers to a basic human need—"a natural activity, a high form of nervous response,

characteristic of man among the animals.” (Langer, 1951, p. v iii)

This theory of the essentially transformational nature of human under­ standing demands th at the study o f symbol and meaning be the starting point rather than the concluding point of philosophy. Langer further describes symbolic transformation as recognition of the use of symbols 18

to attain as well as to organize beliefs* Symbolic transformation means that form and content are continually changing as the symbolic modes of thought change * Among symbolic modes o f thought Langer includes speech,

imagery, ritual, music. The symbolic transformation of experiences makes the mind more analogous to a transformer than to a transmitter.

The brain

. . . is actively translating experiences into symbolism in ful­ fillment of a basic need to do so. It carries on a constant process of ideation. Ideas are undoubtedly made out of impressions—out of sense messages from the special organs of perception, and vague visceral reports o f fe e lin g . The law by which they are made, however, is not a law of direct combination. Any attempt to use such prin­ ciples as association by contiguity or similarity soon runs into sheer unintelligible complication and artifice. Ideation proceeds by a more potent principle of symbolization. The material fur­ nished by the senses is constantly wrought into symbols, which are our elementary ideas* Some of these ideas can be combined and manipulated in the manner we call "reasoning.” Others do not lend themselves to this use, but are naturally telescoped into dreams, or vapor off in conscious fantasy; and a vast number of them build the most typical and fundamental edifice of the human mind— religion. (Langer, 1951, p. 46)

Symbolic transformation is important to the study of conceptualization because:

A concept i s a ll th at a symbol rea lly conveys. But ju st as quickly as the concept is symbolized to us, our own imagination dresses it up in a private, personal conception, which we can d istin gu ish from the communicable public concept only by a process of abstraction. Whenever we deal with a concept we must have some particular presentation of it, through which we grasp it. What we actually have "in mind ;" is always universalium in re. When we express this universalium we use another symbol to exhibit it, and still another res will embody it for the mind that sees through our symbol and apprehends the concept in its own way. (Langer, 1951, p. 70)

By this Langer means that we have commonly agreed on denotations of a concept expressed in words or other symbols and that we also have pri­ vate connotative meanings for that symbol which are stored in our minds 19 as the other symbols (such as images) associated with that word. Fur­ thermore ,

No symbol is exempt from the office of logical formulation, of conceptualizing what it conveys; however simple its import, or however great, this import is a meaning, and therefore an ele­ ment for understanding. (Langer, 1951, p. 90)

The power of the theory of symbolic transformation is that it accounts for the many forms of concepts and for the abstractions which occur during the process of conceptualization. Because man can transform sense data in to symbols and symbols into other symbols which he can manipulate, he has superior powers of conceptualization.

Kenneth Boulding also b eliev es that symbolic transformation plays an important role in thinking. He believes that the image is a symbol which expresses a concept. Boulding thinks that the image is a model—one of the ways availab le to us for conceptualizing the world.

He speaks of public and private images and maintains that the human image can be public in a way that the image o f the lower animal can never be. Language helps us to share images—to make them public.

The following passage illustrates Boulding's interest in the relationship of the symbolic process to consciousness and intelligence.

Obviously, the problems of consciousness and the role it plays in con­ ceptual communication are important and are often ignored.

One fin a l question o f great in ter e st which must also go un­ answered is the relationship of the symbolic image to conscious­ ness, especially to self-consciousness. The lower animals have awareness. The image of dogs and monkeys, for instance, probably includes some differentiation between sleeping and waking condi­ tions. It may be doubted whether any animal apart from man has what could properly be called self-consciousness, that is, an image of its image, [italics mine.] Consciousness, however, is a b a fflin g and impenetrable mystery. The most that we can say about it is that it is intimately connected with the symbolic process and that it is profoundly affected by disturbances of the symbolic process. 20

We cannot even conceive of ourselves, however, as building a machine or a construction with consciousness. I t i s easy to build stimulus-response machines. It is even possible to build, as W. R. Ashby has done, something like a learning machine, a machine that is capable of conditioned r eflex e s. We can build machines to do elaborate calculations or even to play chess. We can build machines with memory, that is , with stored informa­ tio n . have not succeeded in building the sim plest machine with a conscious image, [italics mine.] When we do that we w ill, in a very real sense, have created a new form of intelligence. (Boulding, 1961, pp. 45-46)

Boulding would say that symbolic form and level of consciousness could

be variable characteristics of concepts.

Langer and Boulding believe that a concept is a symbolic trans­

formation. Other modern philosophers who speculate about the nature of

concepts include S. Komer (Korner, 1955), H. H. Price (Price, 1953),

p. Geach (Geach, 1957) and J . Yolton (Yolton, 1962). A tab le comparing their positions follows on page 21. The titles of their books are given on the tab le below th eir names. Table 3 was developed by th is w riter.

Symbolic transformation was one potent idea contributed by philosophy. Another potent idea develops from a philosophy of the subjective nature of concepts. The subjective nature of a concept follows from the realization that the ability to behave or act on something mentally, while not necessarily unique to a person, differs from person to person. Thus a concept is determined subjectively.

Geach describes the subjective nature of concept.

A concept, as I am using the term, is subjective—it is a mental capacity belonging to a particular person. . . . The subjective nature of concepts does not however imply that it is improper to speak of two people as "having the same concept;" conformably to my explanation of the term "concept," this w ill mean that they have the same mental capacity, i.e . can do essen­ tially the same things. Thus, if each of two men has mastered the intelligent use of the negative construction in his own language, we may say that they have the same mental capacity. TABLE 3

THE POSITION OF MODERN PHILOSOPHERS ON THE NATURE OF A "CONCEPT"

Example o f Characteristics Concept "Rabbit" Valuable D e fin itio n A ttributed as Defined by Implications Philosopher of "Concept" to "Concept" Philosopher of Position Criticisms and Position

H. H. P rice Mental Formed from Ability to rec­ Study capac­ 1. Does not concern itself cap acity recurrent ognize small i t i e s fo r enough with the role conscious­ Thinking fo r recog­ features of furry animal abstractions ness plays in concept formation. and n itio n experience; w ith lo n g , 2. Dispositions are hard to Experience learned dis­ pointed ears, study, especially dispositions p o sitio n ; stub nose and for abstraction. abstraction t a i l as a 3. I f tr u e , why does concept member o f th e formation not occur from con- class labeled tin g u ity and s im ila r ity more rabbit often than it does? 4. Is a concept never a be­ havior, but always a disposi­ tion to a behavior? 5. How is more complex con­ cept formation explained? p . Geach Innate Formed through Ability to at­ Study in- 1. How can changes in expe- mental innate concept tach to label nate and rience be explained without a Mental cap acity -forming power "rabbit" at­ individual theory of abstraction being A cts fo r acting on ex­ tributes from c a p a c itie s employed at some point? changing perience; con­ personal expe­ for chang- 2. Abstraction can take forms experience cepts are not rience such as ing expe- other than discriminating re- a result of easily fright­ rience current features, for example, abstracting ened 5 pleasantly visualizing, labeling. (d i scri minating) warm and s o ft TABLE 3—Continued

Example o f Characteristics Concept "Rabbit" Valuable Definition Attributed as Defined by Implications Philosopher of "Concept" to "Concept" Philosopher of Position Criticisms and Position

recurrent 3. If concept forming power features; they is innate much of it must be are subjectively developed through learning; determined as a Geach does not exp lain ade­ result of fit­ quately how this learning tin g o n e's o ccu rs. available con­ cep ts to experience

J • Yolton Unique Formed by a s­ A "rabbit" is a Study units 1. This theory doesn't ex­ mental sociating units small animal o f meaning plain the process of concept Thinking e n t it ie s of meaning with w ith long form ation. and (which are symbols; a pointed ears. 2. Other philosophers have P erceivin g d is t in c t concept is a In my experience said that a concept is an from semantic unit it is nocturnal. image, a word, an idea be­ im ages, used to ex­ Its body can ap­ cause an image, for example, w ords, plain expe­ pear to be com­ incorporates both symbol and id e a s) r ie n c e . No pact or it can meaning. Can Yolton's dis­ m atter how be extended when tinction between image or abstract the leaping. I can word and a concept be main­ concept is; its remember i t s tain ed ? meaning must be trem bling when based on held. All of experience. these associa­ tions combine to form my con­ tsD cept of "rabbit.” t o TABLE 3—Continued

Example o f Characteristics Concept "Rabbit" Valuable Definition Attributed as Defined by Implications Philosopher of "Concept" to "Concept" Philosopher of Position Criticisms and Position

S . Korner E ntity All concepts A rabbit is Study dif- 1. Often, logic, perceptual d is tin c t have a logical mammal. ferences experience and imagination are Conceptual from i t s or experiential among con- equally important in the forma- Thinking; lo g ic a l b a s is . (How­ cep ts and t io n o f a concept, A L ogical and expe­ e v e r , both conceptual 2. Is separating a concept Inquiry r ie n t ia l lo g ic and ex­ bases from its logical or experien­ base p erien ce must tia l basis a worthwhile play a part distinction? in any con­ cept forma­ tion.) Dif­ ferent types of concepts are formed from imagina­ t io n and sense p ercep tion than are formed from lo g ic a l reason in g•

to CO 24

the same concept, they both have the concept of negation. There are of course all degrees of transition between cases where we should say unhesitatingly "they have different words, but they use them in th e same way; they have the same concept", and, where we should rather say "it's not just a verbal difference; they have different concepts". (Geach, 1957, pp. 13-14)

In The Conduct o f Inquiry the philosopher Abraham Kaplan de­

scribes the subjective nature of concepts by distinguishing between a

conception and a concept. According to Kaplan a conception is an in­

dividual's capacity for a symbolized, discriminatory response. A con­

cept differs in that it is a group's capacity for a symbolized, dis­

criminatory response. Kaplan's position can be represented diagram­

matically as follows:

Conception C Conception A

Group Conception or Concept Conception B

Although he differentiates between the group and individual

functions of a concept, Kaplan does not limit the subjective nature

of a concept to individual conceptions. The group's concept he says, is very subjective. The cultural context and the nature of the group determine the nature of the concept.

Kaplan also speaks of "the paradox of conceptualization." By this he means that

The proper concepts are needed to formulate good theory, but we need a good theory to arrive at proper concepts. . . . As knowl­ edge of a particular subject matter grows, our conception of that subject-matter changes; as our concepts become more fitting, we learn more and more. Like all existential dilemmas in science. 25

of which this is an instance, the paradox is resolved by a process of approximation: the better our concepts, the better the theory we can formulate with them, and in turn, the better the concepts available for the next, improved theory. (Kaplan, 1964, pp. 53, 54)

The "paradox of conceptualization" theory helps explain why the cul­

tural context of a group's concept makes a concept subjective.

In his work on the affective domain of educational objectives

David Krathwohl proposes the conceptualization of a value as an affec­ tive objective. To conceptualize a value a subject identifies charac­ teristics he admires. Once a value is conceptualized an individual can judge "how the value relates to those he already holds or to new ones that he is coming to hold." (Krathwohl, Bloom and Masia, 1964, p. 183)

This view of conceptualization contrasts with the view of con­ ceptualization presented in the Taxonomy of Educational Objectives,

Handbook I: The Cognitive Domain. (Bloom, et a l., 1956) Krathwohl's

(a ffec tiv e domain) view of conceptualization emphasizes the subjective function of abstractions. In the cognitive domain concepts may enable one to know, comprehend, apply, analyze or synthesize generalizations which are objectively known.

The potent idea which develops from philosophical ideas such as the subjectivity of concepts and other ideas of mental capacities is the idea of individual and group differences in conceptualization.

The concept o f individual and group differences allows one to explain how concepts mediate learning.

A D efinition o f "Concept"

After reviewing the underlying theoretical issues and the usage of "concept," the writer proceeded to develop a definition of 26

concept for this report. The object was to develop a concise definition

which would distinguish a concept from a "non-concept.” To do this it

was necessary to determine the essence of the concept.

The characteristics chosen as essential were the capacity for

responding, the capacity for discriminating and the capacity for sym­

bolizing. These characteristics were chosen because they incorporated

the many definitive characteristics found in the survey of literature.

The case for the choice of each of the characteristics if presented

next.

Response

The first characteristic that seems to be agreed on is that a

concept is a capacity to make a response. The writer bases this con­ clusion on certain assumptions. First, that a concept which acts as a stimulus is also a response. Secondly, that associating,is a response just as mediating an overt response with covert associations is a re­ sponse. Thus, even when a concept functions as a stimulus, cue or as­ sociation, it is functioning also as a response.

Another reason for saying response characteristics are essen­ tia l for conceptualization is that whenever one defines concept, inter­ nal thought behavior is implied. In defining concept one must imply the behavior or processes of recall or retention. Since such behavior may be considered a response, a concept is always characterized by response behavior. However, any products of thought could be charac­ terized as responses. More essential characteristics must be specified before a concise definition of "concept" is developed. 27

Discriminatory

The writer has concluded that generalization is a form of dis­

crimination learning. (See Kleinmuntz, 1967, p. 39) Many processes are

subsumed under the word "discriminatory," for example, abstraction,

generalization, sensing. It is impossible to discriminate without

having abstracted from a generalization by differentiating or general­

ized from an abstraction by seeing sim ilarities. Because similarity

implies a relationship between two or more things, before simi­

larities can be seen differences must be seen—two things must be seen.

Even i f the two things are exact rep licas of each other they must be

perceived as different entities. Thus, they must be discriminated be­

tween on the basis of separate entities. The writer proposes, there­

fore, that the basis of all conceptualization is discriminatory behavior

whether it be generalization, abstraction, structuring, association or

sensing. A structure that forms an abstraction, an abstraction that

forms a generalization, a generalization that forms a structure—all

are still discriminatory responses. Differentiation is a preprequisite

for integration, for all conceptual behavior.

Why did the writer choose the word "discriminatory" over the word "abstracted?" Abstraction has too often come to mean the opposite of generalization to be suitable in a concise definition. It would not necessarily subsume the processes of generalization, structuring, in­ ference. Discriminatory is defined as "making distinctions, discrimi­ nating." Discriminating is defined as "differentiating; analytical."

Discrimination is necessary for a response to be manipulable, retrievable, useable. A response that is discriminatory can have these 28

characteristics besides being behavioral in nature: (l) comparative

meaning, (2) manipulability.

But a concept cannot be characterized as simply a discrimina­ tory response. If it could be, a concept would be simply a discrimi­ nation and could be adequately researched in the field of discrimina­ tion learning. It might be argued, further, that saying a concept is a discriminatory response does not say much because discriminatory re­

sponses are basic to many types of learning. (See Handler and Kessen,

1959, p. 158 for discussion of position that the elementary discrimi­ natory reaction is the fundamental operation of all science.) There must be another c h a r a cter istic , or ch a r a cter istic s, by which concepts can be distinguished. What else must be present for a concept to exist? This question brings us to the other characteristic consid­ ered essential: symbolized.

Symbolized

The third essential characteristic has been described in the definitions of concept in many ways—as symbol, as memory trace or structure, as coding. This writer has designated the characteristic as symbolized because (as with discriminatory) this term seems to sub­ sume the various terms used in the definitions to describe giving form or representation to an idea.

The characteristic of symbolization makes learning possible.

This is because when symbolized a discriminatory response has two additional characteristics: stability and communicability. Symboli­ zation is a characteristic stressed in the theories of symbolic trans­ formation (Susan Langer) and of recoding (Anatol Pikas), as well as in media theory. 29

That which a ll adequate conceptions of an ob.ject must have in common, is the concept of the ob.ject. The same concept is embodied in a multitude of conceptions. It is a form that ap­ pears in all versions of thought or imagery that can connote the object in question, a form clothed in different integuments of sensation for every different mind. Probably no two people see anything alike. Their sense organs differ, their attention and imagery and feelings differ so that they cannot be supposed to have identical impressions. But if their respective concep­ tions of a thing (or event, or person, etc.) embody the same concept, they w ill understand each other.

The power of understanding symbols, i.e . of regarding every­ thing about a sense-datum is irrelevant except a certain form that it embodies, is the most characteristic mental trait of mankind. It issues in an unconscious, spontaneous process of abstraction, which goes on all the time in the human mind: a process of recognizing the concept in any configuration given to experience, and forming a conception accordingly. . • • (Langer, 1951, p. 70)

Symbolizing can be explained as the coding or the relating

of signs according to rules, as is the giving of form or representation to rules for relating experience. Concepts may be symbolized in the

form of images, words or emotions.

Whenever a symbol operates, there i s a meaning; and con­ versely, different classes of experience—say reason, intuition, appreciation—correspond to different types of symbolic media­ tion. (Langer, 1951, p. 90)

Symbols can take both d iscu rsive (language) and presentational (sense data) forms. (Langer, 1951, pp. 86, 87)

Stability is required for more complex manipulation of discrim­ inatory responses. Symbolization gives discriminatory responses sta­ bility or "staying power." Symbolizing provides stability by enabling one to store (and retrieve), temporarily or longer, a discriminatory response. Without symbolization discrimination remains too fleeting to serve the purposes of conceptualization. 30

Capacity

Capacity is defined as the power of receiving or containing, or

as availability. In this case it refers to the power to receive, con­

tain or make available a response, a discrimination and a symbolization.

A concept is held until it is needed. Even when not active as a re­

sponse, the capability for a conceptual response once gained, continues.

The Definition

A concept can be defined concisely as the capacity to make a

symbolized, discriminatory response.

Glossary of Conceptual Communication Terminology

The reader is referred to Ely et _al., 1963, and to Kimble,

1961, pp. 477-85, for other glossaries of relevant terms. Travers,

1967, has also collected some relevant terms into a short glossary on concept learning. (Travers, 1967, pp. 199-201) Some of the terms used in this glossary which will be left undefined include: stimulus, representation, send, receive, sense, separate, relate, combine, de­ sign, shape, structure, differentiate, producing continua. Such terms are used with th eir common'language meanings and are le f t undefined.to avoid circularity.

ABSTRACTING: the separating o f sig n s.

ASSOCIATING: the relatin g of sign s.

AUDIOVISUAL DESIGN: theory and practice concerned with the design

and use of messages which control the learning process. (Ely

et ^ ., 1963)

CAPACITY: power of receiving or containing, availability. 31

COMMUNICATION: producing meaning by sending and receiving messages.

CONCEPT: the capacity to make a symbolized, discriminatory response.

CONCEPT LEARNING: a change in the store of symbolized, discriminatory

responses available for communication, the process of achieving

this change.

CONCEPTUAL: pertaining to concepts or to the forming of concepts.

CONCEPTUAL COMMUNICATION: the sending o f messages pertaining to con­

cepts or to the forming of concepts; the process of creating

meaning for a concept. (The nature o f a concept can be expected

to be affected by variation s in the process of creating meaning

for i t . )

CONCEPTUALIZER DIFFERENCES: individual d ifferen ces among learners.

CURRICULUM APPROACH: organized plan for affecting the learning of

concepts.

DECODING: the coding of a message for meaning. (See Encoding)

DEFINITIVE CHARACTERISTICS: ch aracteristics required by a basic

and stable definition of concept; which although they vary from

concept to concept are essential to a concept.

DIMENSIONS OF CONCEPTS: continuums o f correlative concepts which

describe variable characteristics of concepts.

DISCRIMINATORY: noting or observing a difference; differentiating.

EFFECTS OF CONCEPT: consequences o f using a concept.

ENCODING: the coding of a message for transmission. (See Decoding)

FORM: shape, structure and physical appearance or manifestation of

a representation.

FUNCTIONS: purposes served.

GENERALIZING: the combining of signs; assigning meanings; synthesizing. 32

IMAGE; internal representation of sense data.

MEANING: response to a message; the meaning of a message is the change

which it produces in an image. (Boulding, 1961, p. 7)

MESSAGE: one or more signs that have been coded and transmitted.

RESPONSE: anything that is done as a result of receiving a message.

(Berio, 1960)

SIGN: any stimulus th at can be sensed; i t d iffe r s from a symbol in

that it is the message, not the representation of the message.

STORAGE: meaning which has been coded and which can provide internal

feedback. Storage can be temporary or permanent.

SYMBOL: representation of a message.

SYMBOLIZING: selecting and interrelating signs for the purposes of

representation; giving a definite shape, form, coding.

TYPES OF CONCEPTS: the categories that concepts separate into for

purposes of reference, identification, and description.

VARIABLE CHARACTERISTICS: ch a ra cteristics which change from concept

to concept; described by dimensions on which concepts vary.

VERBALIZATION: representation in words. CHAPTER III

THE CHARACTERISTICS OF CONCEPTS

The Dimensions of Concepts

The most important characteristics of concepts which the com­ municator, whether learner, teacher, media or curriculum designer, can influence are expressed by these twenty-five dimensions:

FORM:

1. Nonverbal Verbal

2. Visual Audio

3. Realistic Symbolic

FUNCTION;

4. Cue Association

5. Private Public

6. Dysfunctional Functional

CONTENT:

7. Singular General

8. Concrete Abstract

9. Simple Complex

10. S tatic Dynamic

11. Construct (theoretical level) Major Concept

*”Construct: a concept which represents relationships among things and/or events and their properties." (Marx, 1967, p. 41) Major Concept: concepts basic to an understanding of a field. (See p. 53)

33 34

12. Experiential Basis ______Logical Basis (See p. 54)

LEARNING:

13. Stimulus Generalization ______Response Generalization

14. Trial and Error ______Insight

15. Formation ______Attainment

16. Rote ______Meaningful

17 . Reception ______Discovery

STYLE:

18. Rigid ______F lexib le

19. Field Dependent______Independent

20. Narrow ______Wide Span

21. Undifferentiated ______Differentiated

22. Disorganized______Organized

AMOUNT AND APPLICATION:

23. Short Term Memory ______Long Term Memory

24. Immediate R ecall ______Delayed Recall

25. Interference______Facilitation

Each of the preceding dimensions is discussed in detail in the text of this chapter.

Variable Characteristics

As noted above, the categories of dimensions which concepts can vary on are the variable characteristics of concepts—form, function, content, learning, style, and amount or application. Variable charac­ t e r is t ic s are the ways in which concepts d iffe r from each other. Con­ cepts differ not only in form, in function, in content, in type of learning used, in style, but also in the degree to which they are 35

retained and in the extent to which they transfer.

The Forms of Concepts

One would expect form to be related to symbolizing and symbolic

transformation. The writer shall use "form" to mean the shape, struc­

ture and physical appearance or manifestation of a concept. The defi­

nitional requirement that a concept be symbolized does not specify in

what way a concept should be symbolized.*

M odalities

One way in which form can change is in modality. Modality re­

fers to the type of sense data received, such as vision, hearing,

sm ell, ta s te , warmth, coolness, pain and pressure. Imaginai concepts

can appear as audio images, visual images or as kinesthetic images.

Sim ilarly, verbal forms of concepts can assume audio or visu al

or audiovisual forms. Furthermore, they can assume these forms in ter­

nally or externally. This means that verbal concepts can take the

form of audio imagery, visual imagery, printed or spoken words. James

Archer has commented on the step from pre-verbalized coding to verbal­

ized coding.

The computer sim ulation and mathematical model approach may give us some magical moments of understanding, but I suspect that the programs and models w ill have to sense when the "big step" from pre-verbalization to verbalization takes place and apply the new variables appropriately. I am suggesting that there may be a gradual development of attending to stim uli, selection of information, formulation of hypothesis, testing of these hypotheses, identification of relevant and irrelevant

*Further discussion of the difference between form and content can be found on pages 32-33 of An Introduction to Symbolic Logic. (Langer, 1967) 3 6

information, elimination of redundant relevant information and a gradual but final "firming up" of a verbal statement of the concepts. Perhaps some of these steps are S-R associations with little mediation but I think it is more probable that each step has associated internalized verbalizations. . . . (Melton, 1964, p. 240)

K. Start and A. Richardson have studied the use of different

modalities. In the past one of the key questions relating to form of

concepts was stated as: "What sense modality does the subject find

it best to operate in?" Start and Richardson applied factor analysis

to tests on preferred modality. The tests relied on introspection as

is usual in such tests. The test used was the Sutcliffe Imagery Bat­

tery which is based on the Betts Imagery Inventory. (Start and Richard­

son, November, 1964) Results implied that the preferred use of one

modality is due more to habit than to any innate individual abilities

or preferences. The only innate differences seem to be between good

and poor imagers, not between visualizers and verbalizers. If the

habit of verbalizing is reinforced more than the habit of visualizing

then th at mode becomes easier for the individual to use.

Imagery forms of concepts can also be seen as taking another

type of form. Imaginai concepts can be as two or as three dimensional.

A three dimensional form would tend to be more r e a lis tic and a two

dimensional form to"be more symbolic.

The writer believes that the differences due to form may be

made clearer on levels other than kinetic, verbal or pictorial. -

More specific forms are: models or analogies, definitions or state­ ments or equivalence, classifications or groupings of associated things. Theoretically, a concept could take these forms kinetically as well as verbally or pictorially. For example, concepts can be sub­ vocal speech as well as verbal imagery or audible speech. We can 3 7

express the concept o f cup with a model which takes the form o f a p ic ­

ture of a cup, or the word "cup" or the sensation of lifting an object.

Mod els

Models are analogies, representations or likenesses of events,

structures or concepts. Models are similes and metaphors. They can

con sist o f a sin g le symbol or many symbols or no symbols. Models can

be mathematical, pictorial, verbal, graphic, etc. They can exist only

in one's head, or they can be constructed in a form for the external

world.

There are several basic kinds of models. Alphonse Chapanis

lists as a start two basic kinds of models: replica models and sym­

bolic models. (Marx, 1963, pp. 104-29) Globes are replica models.

They give a pictorial representation. To a certain extent they look

like the thing being modeled.

Symbolic models are intangible in the sense that they make use of ideas, concepts and abstract symbols to represent the objects being modeled. . . . The model does not look at all like the real thing. . . . As should be apparent, mathematical models form a subclass of symbolic models. . . . Models may, o f course, be mixed, that i s , combine both replica and symbolic features. As a model of the earth, a globe is a replica model to the extent that it is spherical in shape and that the land and water masses are correctly scaled on the surface of the model. But a globe contains symbolic features because, for example, color codes are used to represent the depths of the oceans and the heights of the land masses. (Marx, 1963, p. 110)

A concept taking the form of a model, then, can be realistically and symbolically represented or just symbolically represented.

What functions can be served by concepts in the form o f models? Chapanis says that models can help us learn complex sk ills, can provide a framework for experiments, can help us predict when 38

experiments are im possible, can a s s is t in design and can amuse. (Marx,

1963, p. 113)

There are dangers in using concepts in model form although con­

cepts in model form can serve many useful functions. Like other con­

cepts, models invite overgeneralization. One tends to forget that the

model only represents and does not equate the object. There are parts

or aspects th at the model does not show. Another danger is th at the

models may be incorrect representations. Models establish thought

directions and if the directions or aspects given by the model are

wrong the thinking which follow s can be wrong. Chemistry models may

be highly exact, but they still depict chemical energy bonds (e.g.,

symbol for carbon double bond, C = C), physically (e.g., ).

The model could lead one into thinking incorrectly that chemical

bonds could be seen when a chemical compound is examined with a

microscope.

Definitions

Definitions or equivalence statements often take the form of

operational constructs or logical propositions. They can be verbal

in form, as they usually are, or they can be pictorial. The impor­

tant difference between models of concepts and definitions of concepts

is that definitions generally have a 1:1 denotative relationship with

what they describe. However, the d efin itio n may also contain le s s in ­

formation than the concept because definition excludes connotations.

In any event, definitions imply equivalence; models imply representa­ tion or analogy. The form which is most desirable depends on the use to be made of the concept. 39

What are the purposes for giving concepts definitional form?

Handler and Kessen have suggested these purposes:

1. Definitions can help provide better usage by specifying

rules for using vague terms.

2. Definitions can introduce words. For example, definitions

can introduce vernacular words into science, by specifying

rules of usage.

3. Definitions can clarify relationships between concepts.

(Handler and Kessen, 1959, pp. 89, 90)

Several kinds of definition can be identified. Different kinds of definition include nominal and real definitions. Nominal defini­ tions stipulate new names for classes described with other words. Nomi­ nal definitions often employ common language terms; however, they can be used scientifically. The more scientific and theoretical real defi­ nitions state essential characteristics, abstract qualities or constit­ uent properties of a concept.*

Partial definitions can be of a nominal or real nature. A par­ t i a l d efin itio n might help id en tify an example of a concept, but would not eliminate non-examples of a concept adequately. Types of partial definitions include operational definitions, indicators, reduction sen­ tences. (Hempel, 1952; Wallach, 1958; Handler and Kessen, 1959)

*Nominal d efin itio n s have "generally been considered to con­ sist of definitions of convention or stipulation; new terms or words are stipulated to stand for an alternate linguistic expression. Real definitions on the other hand include all those definitional proce­ dures in which a word is defined in terms of some essential character­ istic abstract quality, or 'real' constituent of the defined expres­ sion." (Handler and Kessen, 1959, pp. 90, 91) 40

A reduction sentence specifies meaning only for cases that

satisfy antecedent and consequent conditions that elicit a behavior.

Reduction sentence definitions are often used for dispositional terms

such as "hungry" and "angry." An important advantage of reduction

sentence definitions is that they give an openness that is needed in

many d e fin itio n s. An example of a reduction sentence might be, "If

another male mouse is placed in a cage of a mouse (x), then x is ag­

gressive if and only if x shows hostility by harrassment of that

mouse."

Albert Upton and Richard Samson have classified definitions

in a d ifferen t way. (Upton and Samson, 1961, pp. 173-80) They assert

that "there are seven basic kinds of definitions which may be used

separately or in combination":

SYNONYM ANTONYM EXEMPLIFICATION COMPARISON CLASSIFICATION STRUCTURE ANALYSIS OPERATION ANALYSIS

A synonym usually employs an ambiguous symbol which has to be used in

context in order to define. An antonym provides definitions by

dichotomous classifications. Exemplification is defining by example.

Comparison i s lik e exem plification except that each example offered i s

accompanied by a statement of how i t d iffe r s from the referent o f the

word being defined. Definition by classification uses terms of

species and genus. Definition by structure analysis associates names

for parts with names for other parts and with a name the whole. .

Definition by operation analysis is used whenever the words to be de­

fined are the names of operations or of elements of operations. An 41

operation is a structure changing for a purpose in time and space.

Operational concepts include names for operations, stages, changing

structures, changing parts, phases, junctures, functions and purposes.

Classifications

The writer w ill use "classification” differently than Upton and

Samson use the term. As used in this study "classification" refers to a form of concept distinct from definitions. Instead, "classification" is used to describe groupings of associated things.

Classifications often take the shape of lists of categories or categorical outlines. Thus, cow, pig and horse are Related to animal verbally or pictorially in that they are grouped together mentally— whether verbally, pictorially or just in terms of awareness. Research is needed on the sorting factors that affect such categorization.

Classification structures differ from models in that they are not used as analogies or representations; they differ from definitions in that they are not equivalence statements. The function of classification structures is to give an ordering for memory purposes. Another func­ tion is to show relationshipsi

Upton and Samson declare that genera (classes of things), species (subclasses of things), specimens (particular things), and qualities (properties) are useful for classification and structuring.

Sorting factors are terms which indicate similarities or dif­ ferences among specimens. Vertical sorting factors are names of class qualities and indicate the sim ilarities between the speci­ mens of classes. Horizontal sorting factors are words indicating th e respects in which species of genera d if fe r . (Upton and Samson, 1961, p. 55)

For example, green vegetables could be a vertical sorting factor. In this case green could be a horizontal sorting factor. 42

Upton and Samson also present a range sorting factor such as

the word "Appearance." A range sorting factor indicates how a number

of classes on more than one level are different from each other. It

is a factor on a more general level. Upton and Samson also note that

we can have working or uncompleted classifications and collected or

completed classifications.

Examples of c la ss ific a tio n s of concepts can be seen, in the

writer's opinion, in taxonomies, diagrams, tree diagrams, outlines,

lists, grids, paradigms and other categorical outlines. Images could

be classifications, as could pictorial representations. This is be­

cause images and pictures often group associated attributes into a cate­

gorical representation or they group the members of class. The image

o f a group of chipmunks, mice and sq u irrels i s a c la ss ific a tio n form o f

the concept rodent. Similarly the image or picture of several animals

is a classification or grouping of associates with the concept "animal."

Classifications are possibly, in this writer's opinion, the most impor­ tant form concepts can take because they allow for the ordering neces­ sary for long term retention and for transfer.

Continua are another classification form for concepts. Con­ tinua involve the placing of correlative concepts, such as antonyms, on a type of scale, such as a semantic differential scale. Continuums serve as indicators of the relative evaluation of a concept in compari­ son with other concepts.

Multi-form Concepts

The recent trend has been toward the position that concepts can change forms or can assume several forms such as r e a lis t ic v isu a l image 43 and audible verbal definition. Concepts can, therefore, be said to be "multi-form" meaning that they are available in several forms. Thus,

Langer proposes the term "symbolic transformation." (Langer, 1951, p.

48) Boulding writes of a concept as an image taking many forms.

(Boulding, 1961, pp. 6, 7) And, Pikas proposes recoding of memory traces as a way of explaining concept formation. (Pikas, 1966, p. 215)

The Effects of Concepts

The e ffe c ts of a concept can be described as the purposes which the conceptual process accomplishes. Secondary results or effects de­ pend on primary results or effects. Secondary effects are consequences of the primary effects attained.

With the primary effects of concepts the writer includes such activities as associating, cuing, responding. With the secondary ef­ fe c ts o f concepts the w riter includes a c tiv itie s such as r e c a ll, pub­ lic communication, rehearsal, storage, learning, stereotyping, overgen­ eralization. The writer has developed Figure 2 to illustrate the rela­ tionship between the primary and secondary effects of concepts.

It is possible to determine by the content, form, objectives, and treatment of a message the effects that the concept formed as a result of that message will serve. The use of definitions or equiva­ lence statements, for example, can result in a concept which identi­ fies for recall. The effect of such a concept is to cue. 44

Primary associating, cuing. E ffects respond ing^^^^

Private Public Secondary Communication: Communication: E ffects r e c a ll. stereotyping, reh earsal, language storage. / mass communi­ learning, / cation overgeneralization / interpersonal ^ / communication E ffects

Advantageous Disadvantageous

Fig* 2*—The Effects of Concepts

Primary E ffects of Concepts

The primary e ffe c ts o f concepts have been enumerated in common language terms as identifying; as representing; as selecting or per­ ceiving; as constructing or organizing; as unifying, fusing or synthe­ sizing. Psychologists have classified these functions under the labels of cuing, associating, and responding.

H. H. Kendler says that those who see concepts as associations are primarily members of the S-R associationistic school, those who see concepts functioning primarily as cues are mediationists, and those who see concepts functioning as responses belong to the problem-solving school of research on concept formation. The association effect point of view describes concepts as associations between dissimilar stimuli and common responses. The response effect school says that the point of view that concepts are acquired implicit responses which serve as cues for behavior is oversimplified. "They argue that something like 45

'ideas' or 'p rin cip les' or 'stra teg ies' are needed in addition to what

is referred to as S-R associations." (Melton, 1964, p. 229) Kendler

suggests that "If the vast potentialities of S-R language resulting

from chaining and mediated generalization of verbal behavior are con­

sidered then what some prefer to call 'principles' or 'ideas' or

'strategies' can be, although need not be, expressed in terms of cues

arising from chains o f S-R association s."

D. E. Berlyne has proposed a way to relate concepts as cues

(stimuli) or mediators to chains of thought. His position is still one of concepts functioning as mediators, but he relates transforma­ tional or strategy concepts to stimulus or cue concepts. (Berlyne,

1965)

Berlyne says there are two types of concepts or mediators that occur in chains of thought situational concepts and transformational concepts. The former represent aspects of a situation, the latter rep­ resent operations. (Klausmeier and Harris, 1966, p. 86)

The traditional behaviorist account depicts a train of thought as a sequence of implicit responses corresponding to successive events or stimulus situations. Each response produces its feed­ back stimulus to bring on the next response, so that we can rep­ resent the process as So_Vl_^=l_V2-^=2—> ••• * We shall call each of these responses representing an external stimulus situation a situational response, and we shall call the feedback stimulus that it produces a situational stimulus. . . . Our proposal is that, between each pair of successive situa­ tional responses . . . , another symbolic response should be in­ troduced to represent a transformation. . . . We shall call this intervening symbolic response a transformational response. It

*The sequence represents an original stimulus (Sq) which leads to a succession of some finite number (n) of responses (r) producing feedback which acts as stimuli (s). 46

also w ill have its feedback stimulus, the transformational: stimulus, and we shall use the notation . . • to stand for a transformational thought comprising the two together.

Our conception of a transformational chain. as we shall call a train of thought built up of alternating situational and trans­ formational thoughts, pays heed to Selz's arguments, reminding us of the role of patterning. Each situational response is deter­ mined jointly by the immediately preceding transformational thought and situational stimulus. If a preceding situational thought had been followed by another transformational thought, or if the same transformational thought had started out from a different situational thought, the subsequent situational thought would have taken a different form. (Berlyne, 1965, pp. 114, 115)

Berlyne sees transformations as operations. Representations of the

stimulus are results of transformations. Both the transformational

response and the transformational stimulus could be concepts.

It is apparent to the writer and to Kendler that the effects

of concepts as associations, cues and responses could be placed on a

chronological continuum. Thus, concepts as cue(s) as associations

...as responses would be one way of integrating the effects of concepts.

The w riter would lik e to combine th is approach and Berlyne's approach

to chains of thought. The writer proposes from this synthesis of

ideas, that there is a transformational circuit as follows:

S cues (Implicit Associations) cues R,

Fig. 3.—The successive effects of concepts as stimuli, cues, associations and responses.

This writer's position, as diagramed above, is that stimuli cue the

implicit associative responses which, in turn, cue new responses.

Thus, the sight of a new catalog may cue the response "catalog."

The response "catalog" may be associated with source of information.

The concept of catalog as a source of information may cue the response 47

of reading. Both catalog and source of information are operating as

cues, associations and responses.

Secondary Effects of Concepts

The secondary effects of concepts may be classified as types

of public or private communication and as functions which have advan­

tageous effects or disadvantageous effects. The kinds of private com­

munication possible include recall, retention and overt or covert re­

h earsal. Public communication can f u l f i l l the function o f mass com­

munication or of interpersonal communication. The advantageous ef­

fects of concepts provide for economy, simplicity and specificity in

storage and provide for direction-recognition in learning. The disad­

vantageous effects of concepts arise from overgeneralization, rigidity

fixed meaning, stereotype and prejudice.

Bruner and h is associates have concisely enumerated fiv e e f­

fects of conceptualization in A Study of Thinking. Bruner and his

associates asked the question, "What does the act of rendering things

equivalent achieve for the organism?" (Bruner, 1956, p. 11) They answer their question as follows:

. . . the organism reduces the complexity of its environment . . . categorizing is the means by which the objects of the world about us are identified. . . . a category based on a set of defining attributes reduces the necessity for constant learning. . . . the direction it provides for ordering and relating classes of events.* (Bruner et a l., 1956, pp. 12, 13)

*When one orders events one r e la te s them through cause and e f­ fect or superordinate and subordinate relationships. 48

Bruner's position is based on his theory that the organism is striving

to minimize "cognitive strain." "Cognitive strain" has been defined

as:

. . . the amount of "tension associated with the cognitive task of concept learning. The "tension" created is a func­ tion of the memory load inherent in a given strategy. (Travers, et a l., 1967, pp. 200, 201)

One danger is that concepts w ill come to have rigidly fixed

meanings. (Weiss, et a l., 1963) An effective illustration of this is

given by James Deese—only recently have many biologist's realized

that species are not well separated classes into which animals easily

fa ll, that species are instead convenient, often overlapping, classes

with continuous gradiation between them. (Deese, 1958, p. 291)

Another danger is overgeneralization. (Harvey, Hunt, Schroder,

1961, p. 17) Calvin Hall explains overgeneralization and the danger

of faulty conceptualization very well.

It is very easy to make the false assumption that because dis­ similar things are alike in some respects they are also alike in other respects . . . the very existence of woman as a class means that other generalized responses to women as a distinctive category are easily formed. It is generalized that women are this or women are that, when, in fact, there is no justification for such generalizations. . . . If there were no distinguishable class of people called Negroes, then no faulty concepts (preju­ dices) could be formed. (Hall, 1960, p. 242)

Such fa lse concepts formed on overgeneralization could be considered as resulting from an inability to discriminate. (Weiss, et a l., 1963)

The danger of concept formation when overgeneralization occurs is, then, the hindering of fine distinctions. S. I . Hayakawa has written eloquently on this problem. He feels that when a person's or a society's reactions become so highly fixated that they cannot be changed no matter how greatly the circumstances change, that person 49

or society is in trouble. Hayakawa labels this problem one of "insuffi­

cient capacity for differentiated behavior." He lays some of the blame

for the problem at the feet of advertising and of mass communication.

Both these agencies hammer away at the production of a set of reactions

to symbols.

Hayakawa pleads for people to be on the lookout for differences

as much as they are for sim ilarities. He states that it's about time

schools started teaching how not to respond with a discrimination as

well as how to respond with a generalization. Hayakawa borrows the

term "identification reaction" from Alfred Korzybski to describe such

semantic malfunctioning as believing all cases that fall under a class

label to be in all ways alike.

Hayakawa says that it is time for teachers to sharpen percep­

tion of the difference between symbol and thing symbolized, between

label and product. As a device for doing this he presents Korzybski's

idea of adding index numbers to a ll terms according to the formula;

A^ is not Ag. In other words, cow^ is not cowg. Indexing, he thinks

can reduce our tendency to "wild and woolly generalization." It can reduce our tendency to dangerous or dysfunctional use of concepts.

(Hayakawa, 1963, pp. 1-28)

The writer theorizes that two of the important effects of pri­ vate communication are retention and recall. Some types of recall or retention are forced, free, modified free, immediate, delayed, short term, long term. Another effect of private communication is rehearsal.

One of the effects of public communication functions of concep­ tualization is the establishment of common meanings for signs and sym­ bols. Another effect is the passing of information or ideas through 50

the use of these points of commonality. Related to this effect is an­

other effect, the verifying of interpretation. Such verifying leads to

consideration of a concept's other aspects and eventually can lead to

changing the concept. Public communication is a basis for considering

concepts—for finding out what price they w ill bring in the marketplace

o f ideas.

The Content of Concepts

The Characteristics of Content

The writer w ill use "types of content" to describe the categories

which concepts seem to separate into for purposes of reference, identifi­

cation or description. Types of concepts include, for example, abstract

concepts, subject matter concepts, and conjunctive concepts. The differ­

ing characteristics of content result from continua on which content

varies, from the theoretical level of concepts, from the subject matter

content of concepts, from the experiential and logical bases for concept

formation and from the kinds of logic used to organize the content.

Since communicators can influence the characteristics of content, it is to be expected that they can determine the types of concepts formed.

The Continua for Content

The continua which can be used to evaluate the characteristics of content are: singular-general, concrete-abstract, simple-complex, static-dynamic, correlative-generic. Wundt laid the foundation for dis­ tinguishing between concepts according to their relative abstractness or concreteness. C linicians such as K. G oldstein, developed th is approach into concepts differentiated by the level of performance required to do this task. (Pikas, 1966, p. 74) Thus we have the four types of concepts shown in Figure 4 which was developed by the w riter. 51

Simple Complex

Concrete Simple-Concrete Complex-Concrete e .g . Dog e .g . Animal

Abstract Simple-Abstract Complex-Abstract e.g. Canines e.g. Phyllum

Fig. 4.—Types of Concepts

Singular or specific concepts are compared with general or

class concepts. Concrete concepts are compared with abstract con­

cep ts. These types of content can combine into the types of concepts

shown in Figure 5, which was developed by the writer.

Concrete Abstract

Singular Singular Concrete Singular Abstract e.g. a dog-Rover e.g. Oligarchy

Generic Concrete Generic Abstract e .g . Dog e.g . Government

Fig. 5.—Types of Content

The difference between a simple and a complex task usually was

the number of details that were given or that subjects were required

to copy. James Anderson, for example, labeled concepts as simple or

complex depending on the number of details given in the drawing repre­

senting a content statement. (Anderson, 1966)

R. W. Zaslow introduces another concept type. This is the dynamic concept. Zaslow compares the dynamic concept with the

Aristotelian class concepts, which tend to be rigid with well defined 52

boundaries. (Zaslow, 1961) The dynamic concept is a concept that under­

goes transformation, that has vague, fluid boundaries, that is more am­

biguous. This characteristic of content can be represented by the con­

tinuum static-dynam ic and by a continuum o f am b igu ity-sp ecificity of

meaning. (Messick and Ross, 1962, p. 134) The type of concepts result­

ing from dynamic content i s shown in Figure 6 .—Types of Ambiguous Con­

cepts. Figure 6 was developed by the writer.

S ta tic Dynamic

Ambiguity Ambiguous-static Ambiguous-dynamic e .g . Work e.g. Success

Specificity Specific-static Specific-dynamic e .g . Eggs e.g. Nutrition

Fig. 6.—Types of Ambiguous Concepts

The Theoretical Level of Content

Another way to classify concepts is by their scientific pur­

pose or theoretical level. By this I mean the relative generality of

a type of theoretical concept in comparison with other types of theo­

retical concepts. Basic or major concepts, laws, and scientific con­

structs are types of theoretical concepts.

Joseph Novak proposes a taxonomy o f conceptual le v e ls .

(Klausmeier and Harris, 1966, p. 241) What Novak would call a major

concept would be at the highest le v e l o f the sca le . He would include

concepts such as market in economics and evolution in biology at this highest level. These "major concepts" of Novak are similar to what others have spoken of as "basic concepts." Thus sociology has such 53

basic or major concepts as culture, group, role, status, authority,

function, race and bureaucracy. The narrower categories used in sci­

entific fields are subdivisions or refinements of basic concepts.

(Chinoy, 1954)

Laws are thus less general than basic or major concepts. Con­

structs are, however, less general than laws. A construct is a type of theoretical concept often used in science. Constructs are univer­ sal terms which characterize properties and relations. (Handler and

Kessen, 1959, p. 19) In literature, art and practical affairs con­ stru cts can have surplus meaning th at they cannot in science. (Marx,

1963, p. 11) The th eo r e tic a l le v e ls o f concepts can be diagramed as follow s:

Major Concept

Laws

Constructs

The Experiential and Logical Content

Two main types of content have been proposed on the basis of differences in the concept formation process. The writer proposes th at they be c a lle d . exp erien tial and lo g ic a l. "Experiential" meaning concepts derived from experience without the use of imch logic in their construction. Such concepts would primarily serve equivalence func­ tions. "Logical" w ill mean those concepts which are constructed by using much overt or planned logic or inference. Experiential concepts might be 54

seen as concepts more simply accepted or created than are logical con­

cepts . Logical concepts, presumably, are also derived from experience just as experiential concepts are. Presumably too, logic as well as

experience must play a part in the formation of both types of content.

It is the extent to which the conceptual analysis depends on logic and

on experience which distinguishes the two.

Such types of concepts have been proposed by Kurt Koffka,

Stephan Komer, Robert Gagne and Jerome Bruner, D. E. Berlyne and

R. W. Deeper. Koffka was one of the earliest to make the distinction.

He distinguished between simple concepts derived from the data of ex­ perience and concepts constructed by scientists. As an example of the former he gives color and acromatic color. As an example of the lat­ ter he gives a concept that relates experiences such as threshold (of light so can see colors).

In 1951, R. W. Deeper spoke of inductive, deductive and inven­ tive concept formation. According to Deeper, inductive concept forma­ tion is similar to experiential concept formation. It consists of recognizing common or related features among a wealth of perceptual materials. Deductive concept formation seems to be, in Deeper's ap­ praisal, similar to logical concept formation and the production of discursive thought.

Danger describes discursive thought as rational judgment.

(Danger, 1951, p. 90) Discursive thought is thought which proceeds by the use of logic. It consists of formulations which are given in a verbalized, rather than a sensory form and flow as in presentational thought. Discursive thought produces logical content; presentational thought produces experiential content. Pikas raises the interesting 55

question of the amount of consciousness required for logical or deduc­

tive concept formation. (Pikas, 1966, pp. 59-60)

The Kinds o f Logical Content

Jerome Bruner's c la ssific a tio n o f conjunctive, disjunctive and rela tio n a l concepts i s w ell known. I t should be remembered th at Bruner believes these types of concepts to be the result of different choices of strategies for concept formation.

In an a r tic le which appeared in A pril, 1960, E. B. Hunt and

C. I. Hovland describes the types as follows: A conjunctive concept is one in which all the instances possess characteristics which have features in common such as a and b, a and b and c , e tc .

A disju nctive concept i s one in which a ll instances have one or another feature. In other words, a stormy day can occur either when it is raining or when it is snowing or when it is windy.

A relational concept is one in which the common properties are sets of relationships in other than common specific elements.

(Hunt and Hovland, 1960) (See pp. 251-54 of this report.)

The Type o f Concept Learning

Concepts should be differentiated on the basis of the type of learning involved. James Holland has questioned the practice of de­ scribing experimental results as if they apply to all types of concept formation; when in fact, they can characterize some types of concept formation only. It is wrong, says Holland, to accept the results of traditional concept formation experiments calling for simple verbal identification of a class of objects as indicative of the complex con­ ceptual thought of adults. Similarly, it is hard to imagine that Lyle 56

Bourne's experiments which require identifying by verbalizing the at­

tributes and rules associated with a concept, are analogous to early

concept learning in the child.

There seems to be general agreement that while there are dif­

ferent forms of concept learning, there is a distinguishable type of

learning which can be called concept learning.

Concept learning was defined ea rlier as a change in conceptuali­

zation or a change in symbolized discriminatory responses available for communication. A central issue for any definition of concept learning is whether or not verbalization is necessary for concept learning. Re­ search conducted by Kenneth Smoke has shown th at "one may have a con­ cept and yet be quite unable to give an accurate verbal formulation of i t ." (Schwahn and Harris, 1961, p. 142) Susan Langer, Kenneth Boulding and others dispute the position that verbal labeling is necessary for conceptualization. This writer has presented a definition of concept and of concept learning which does not mandate verbalization. Symboli­ zation does not necessarily have to be expressed with a verbalization.

After surveying the literature, the writer concluded further that concept learning was always a type of discrimination learning and was often a type of problem-solving learning. As a type of discrimina­ tion learning or problem solving learning, concept learning could assume various means for generalization and solution including stimulus, re­ sponse, or semantic generalization and trial and error, sudden reor­ ganization or gradual analysis so lu tio n s. (Schwahn and H arris, 1961, pp. 51, 52)

The reader is probably wondering what reason can be given for classifying generalization as a type of discrimination learning. The 57

writer believes that generalization is the result of more than a failure

to discriminate. With Clark Hull and E. J. Gibson she argues that while

there is a primitive stimulus generalization which is the result of

failure to discriminate, there is also another type of stimulus general­

ization which results from synthesizing of discriminations. This lat­

ter form of generalization involves an ability to consider similarities

and differences in order to form a category. (Pikas, 1966, pp. 161, 162)

This position is somewhat contrary to the intriguing position

of Edwin Martin. (Kleinmuntz, 1967, pp. 39, 48, 58-59, 65) Martin's position corresponds with the theory that discrimination is an influ­ ence which restricts, not includes, generalization.

Martin, who believes concept formation to be a discrimination process, emphasizes the role of inhibition in stimulus control of con­ cept formation. Generalization, to Martin, is always a case of a failure to discriminate. In order for discrimination to occur a cer­ tain amount of inhibition is necessary according to his theory. For a discrimination to be elaborated further inhibition is necessary. Martin makes these statements on the basis of his interpretation of relation­ ships among reaction time, discrimination learning and inhibition as shown by research.

I t might be said th at an organism "has a concept" when in making one response he must simultaneously inhibit a particular set of other responses. . . . A concept is a set of mutually induced response tendencies. (Kleinmuntz, 1967, pp. 39, 48, 58-59, 65)

To Martin concept formation is a form of discrimination learning. What

Martin is saying is that there is a continuum from generalization to discrimination to concept formation. One progresses along the con­ tinuum as the number of different stimuli involved increases. The 58

mechanism which allows one to progress from generalization to discrim i­

nation to concept formation is inhibition.

The type of concept learning cannot be described simply be­

cause it depends not only on the form of learning but also on the

learning task and method. The type of concept learning can, for

example, be response generalization by gradual analysis on a concept

assimilation task presented as reception learning. Figure 7 was de­

veloped by th e w riter to summarize the contributors to the type of

concept learning. A more detailed explanation of the forms, tasks

and methods of concept learning follows Figure 7.

Stimulus Generalization Discrimination L. Response Generalization Mediated G eneralization Forms o f Concept Learning Trial and Error L. Problem Solving L. Sudden Reorganization General Analysis

C. Identification Concept C. Acquisition Learning C. Formation Type of Tasks C. Attainment Concept C. Utilization Learning C. Assimilation

Methods Rote L. of Meaningful L. Key: Concept Reception L. C. = Concept Learning Discovery L. L. = Learning

F ig. 7 . —Contributors to the Type o f Concept Learning 59

Forms o f Concept Learning

The ways in which concept learning can vary as discrimination

learning include stimulus generalization, response generalization, and

semantic generalization.

Primary stimulus generalization occurs when a single response

is associated with two stimuli• A variation of this is response gen­

eralization wl m the reverse takes place. Primary stimulus generaliza­ tio n and response generalization could be diagramed as follow s:

stimulus generalization Sr

response generalization

Fig. 8.—Stimulus and Response Generalization

Stimuli 1 and 2 are alike in some ways yet different. Responses 1 and

2 are alike in some ways yet different.

Hull's representation of secondary generalization became the basis of mediation theories.

Fig. 9.—Secondary Generalization

Semantic generalization is a type of mediated generalization.

Semantic generalization is generalization which occurs on the b asis o f the meaning of stim u li. A subject conditioned to

*S: stimulus; r: implicit response; s: muscular reaction; R: Behavioral Response. 60

respond to the word BARN, for example, may show a tendency to make the same response to other words with rural connotation, for example, TRACTOR. But the response does not occur to non- rural words such as PAPER. In generalization of this sort the suggestion is that the response requires some intervening ac­ tivity on the part of the subject. (Kimble, 1961, p. 360)

One approach to explaining the relationship of problem solving

to concept learning has been to call concept learning a form of problem

so lv in g . Concept learning i s seen by Earl Hunt as a form of problem

solving because the subject must solve conceptual tasks such as devel­

oping rules for identification. (Kleinmuntz, 1967, p. 77) A second

approach has been to view concept formation as a unique form of learn­

ing which is basic to problem solving. (Kleinmuntz, 1967, p. 107)

Robert Gagne's enumeration of the types of learning as including con­

cept learning and problem solving typifies this view, as does the

• position of John B. Carroll who believes problem solving to be the

manipulation of concepts. (Carroll, 1964)

Types o f conceptual tasks which require problem solving learn­

ing include classification tasks, probability tasks, learning by trial

and error and insight problems. (Davis, 1966)

One of the questions raised by research on concept learning

and problem solving is whether there is ever unlearned insightful con­

ceptual behavior. Generally, research has found no evidence for un­

learned insightful behavior. (Kimble, 1961, p. 386)

Concept Learning Tasks

Differences between concept learning tasks are evident when

one compares the research schools of concept learning. Each school

i s associated prim arily with one term for concept learning. Each such term is indicative of a type of concept learning task. The most 61

important distinction is between concept formation tasks and concept

attainment tasks. Concept formation tasks require no previous concep­

tual knowledge. Concept attainment tasks presuppose knowledge of

strategies for concept formation which can be brought to bear on the

problem and of certain attributes which may be relevant.

At th is point i t would be wise to d istin gu ish between the many

terms for types of concept learning.

Concept id e n tific a tio n , for example, i s used by the informa­

tion theory or mathematical models school of research. This school

includes Lyle Bourne and Leo Postman. The phrase "concept identifica­

tion" derives from the nature of the experimental task, which is

usually to sort the presented dimensions into a concept which is

verified for correctness by feedback from the experimenter. Since

the concept is presented within the task, conceptualization is more

a matter of selecting of relevant aspects and disregarding irrelevant

ones.

Concept identification has been analyzed into three steps:

(l) discovery of relevant dimensions, and (2) learning of correct

responses. (Kleinmuntz, 1967, p. 154) There is a question about

whether concept identification is a type of concept learning. This

writer feels that it is at the least a reinforcement of concept learn­

ing. As such it is concept learning.

Concept acq u isition has been discussed by David Ausubel and

Howard Kendler. (Klausmeier and Harris, 1966; Pikas, 1966) Concept

acquisition implies concept formation from the beginning of abstrac­ tion and generalization through concept attainment. David Ausubel

sta te s that concepts can be acquired by eith er discovery methods as 62

in concept formation or reception methods as in concept assimilation.

Obviously, the meaning of concept acquisition as compared with the other

terms is not very clear. The phrase is often simply used as a synonym

for the other terms. As long as the moment of concept acquisition is

shrouded in obscurity the meaning of the term "concept acquisition" will not be clear.

Concept formation is the term used by the traditional research­ ers in conceptual communication. These researchers have a concern for associations, stimuli, and responses. Howard Kendler's definition of concept would be the one most acceptable to th is group; "Concept for­ mation is taken to imply the acquisition or utilization, or both, of common response to dissimilar stimuli." (1961) (Pikas, 1966, p. 117)

The research on generalization has often been in the concept formation tr a d itio n .

Concept attainment is associated with the work o f Jerome Bruner and Earl Hunt, with the hypothesis testing and decision making (compu­ ter simulation) schools of research. Concept attainment focuses on conceptualization after basic concepts and conceptual abilities and experiences have been acquired.

Bruner and his associates have described the difference be­ tween concept formation and concept attainment. Essentially, they say that concept formation is a process of invention and concept attain­ ment a process of discovery. By this, Bruner means that before a class concept can be attained, it must be first formed or proposed and secondly, the attributes and rules which distinguish this concept must be discovered, tested and used to classify exemplars and non-exemplars of the concept. 63

Concept utilization is used by verbal learning researchers.

Rote verbal learning tasks, such as paired associate lists, elicit re­

sponses which are conceptual or categorical in nature. Usually, the

phrase is used when two or more stimuli come to elicit the same re­

sponse implicitly or explicitly. (Klausmeier and Harris, 1966, p. 51)

Concept assimilation has been discussed by David Ausubel as

reception learning. In concept assimilation the subject reaches the

concept by deducing from material presented. It is also sometimes used synonymously with concept attainment. For concept assimilation to occur a concept must be deducted from experience and incorporated into, related with, the cognitive structure.

Concept learning tasks include, then, selecting relevant di­ mensions when they are presented; acquiring or inventing a common response to dissimilar stimuli; hypothesizing, testing and using rules and attributes which define a concept; associating verbal labels with stimuli and interrelating concepts with other concepts. Concepts can be invented, applied, identified, described, reinforced, labeled, or interrelated during concept learning.

Methods o f Concept Learning

It is possible for a learner to approach the various concept learning tasks through rote or meaningful learning methods, through reception or discovery learning methods- The approach chosen often depends on the way in which the concept learning problem is presented by a teacher. The means for concept learning can combine into rote reception learning, rote discovery learning, meaningful reception learning or meaningful discovery learning. 64

R. Metzger has studied that portion of the types of learning

continuum where rote learning and concept formation are presumed to

overlap.

Rote (paired-associate) learning is here defined as the type of learning in which S is required to associate a single response with a single stimulus, i.e., there is a one-to-one correspond­ ence between stimulus and response. The term concept formation is here restrictively defined as that type of learning where S is required to associate the same response to different stimuli, i.e., two or more stimuli are attached to the same response. In the design of this study a rote learning condition can be transformed into a concept formation condition in two ways: (a) by increasing the number of stimuli but keeping the number of response alternatives constant; and (b) by decreasing the number of response alternatives and keeping the number of stimuli constant. (Metzger, 1958, pp. 226, 227)

Reception learning requires the learner only to internalize

or incorporate material that is presented to him. Little, if any, dis­

covery on his part is required. Discovery learning can range along a

continuum from guided to pure discovery depending on the strategy used

or on the size of the inferential step. Discovery learning can be

very easy or very difficult. The chief characteristic of discovery

learning is that the principal content of what is to be learned is

not given to the learner.

Meaningful learning involves more than mere memorization. It

must synthesize concepts with other internalized concepts in full aware­

ness of the relationships between them. The learner must reorganize his

cognitive structure in order to accept a concept meaningfully.

Ausubel believes that concept learning can take place under both

reception and discovery learning conditions and that both reception and

discovery learning can each be rote or meaningful depending on the con­ ditions under which the learning occurs. However, Ausubel points out 65

that only concept assimilation (and not concept formation) can take

place under reception learning.

Conceptual Style

Conceptual style may be defined as habitual ways of responding

conceptually. (Messick and Ross, 1962, p. 199) Conceptual style can

be changed by train in g. Conceptual sty le can influence the character­

istics of concepts formed. Three aspects of conceptual style are con­

ceptual ability, category width and differentiation and cognitive

stru ctu re.

Conceptual Ability

Concept formation i s dependent on the a b ility o f the concep- tualizer. Differences in ability lie in the areas of perception, of

experience in concept formation, and of the store of available concepts.

Buryi Payne has said that "The amount of perceived organization depends upon the observer’s choice of a descriptive language or on his percep­ tual ability." (Payne, 1966) D. Haygood has explored the effects of

redundant auditory and visual information in a concept formation task.

(Haygood, 1965) His research showed that one problem conceptualizers face is a lack of experience in forming and identifying compound audio­ visual concepts. George Handler and William Kessen analyze the evi­ dence for and characteristics of inductive generalization. In doing so, they note the importance of the experience of the generalizer, of his store of concepts. "Certainly a major characteristic of induction is its dependence on the experience of the generalizer." (Handler and

Kessen, 1959, p. 198) 66

Category Width and Differentiation

Riley W. Gardner and Robert A. Schoen have studied "Differen­

tia tio n and Abstraction in Concept Formation*" (Gardner and Schoen,

1962) Gardner and Schoen used sorting tests, category width tests,

check lists of words and tests of capacity to abstract. Their three

studies also gathered data on preferred level of abstraction. The

studies were designed to show any relationship between preferred level

of abstraction, ability to abstract, category width and conceptual dif­

ferentiation.* Gardner and Schoen assumed that spontaneous level of

abstraction and capacity for abstraction are distinguishable dimen­

sions of concept formation. They assumed further that both category

width tests and free sorting tests demonstrate conceptual differentia­

tio n .

Category width tests asked subjects to define, directly or in­

directly the limits of a category along a single dimension* The

farther apart the limits the wider the conceptual span* For example,

subjects are asked to define the average width o f windows from eight

choices* From the eight choices subjects select a value that repre­

sents the widest width of a window and a value that represents the

narrowest width of a window. For scoring point values were assigned

to the four deviations from the mean in each direction. A subject who

*Conceptual differentiation: the degree of differentiation spontaneously imposed on heterogeneous arrays o f objects and events when required to categorize these objects and events (number of groups formed) and the range of attributes attributed to a group (category w id th ). Category width: an aspect of conceptual differentiation as­ sessed by having the subject define the lim its of a category along a single dimension. (Gardner and Schoen, 1968, pp. 2 , 4) 67

selected deviations of -1 and +4 would receive a category width of 3-

Conceptual d ifferen tia tio n was also measured by te s t s which re­

quired dividing disparate objects and events into groups each of which

represents a different "basis of pertinence." Subjects were free to

select reasons for grouping from an all but infinite variety of pos­

sible reasons. This test calls for seeing patterns of relationships.

The more groups constructed the greater the conceptual differentiation.

For example, subjects are asked to group an array of objects and events.

Following their grouping, they are asked to define each group. The

scorer then compared the definitions given with the groupings. Some­

times two reasons for grouping were given in one definition. In this

case, one group was scored if the items in the group overlapped. If

the items clearly divided into sporting goods and entertainment two

groups were scored. If items were left over each was scored as a

separate group. A group indicating a subcategorization (e.g. to o ls —

some for children and some for adults) was scored as two groups.

The major findings o f Gardner and Schoen's three studies were

(1) the dimension conceptual differentiation is demonstrable by cate­ gory width tests as well as free sorting tests; (2) preferred level of abstraction is apparent in a variety of situations over a brief period of time but fluctuates considerably over longer periods of time; (3) conceptual differentiation,preferred level of abstraction and capacity to abstract are distinguishable and independent dimensions of cogni­ tive style; and (4) conceptual differentiation and preferred level of abstraction are not related to level of intelligence.

R. W. Zaslow has studied conceptual level and concept span dif­ ferences among different age groups and among different normal and 68 brain-injured groups. (Zaslow, 1961) He found that concept levels were covariant with the levels of intelligence. (Pikas, 1966, pp. 54-79)

The highest conceptual level required the most judgment because it in­ volved more ambiguous r e la tio n s. A narrow concept span was in te r ­ preted as synonymous with r ig id ity .

Cognitive Structure

Cognitive structure can be defined as patterns or organiza­ tions of concepts that the learner has internalized. The better or­ ganized the cognitive structure the more likely concepts are to be meaningful.

Research Directions

In a Terman-Merrill Memorial Lecture Wayne Holtzman traced the development of research on conceptual style.

Three main streams of experimental work, though starting out independently with different constructs, are now beginning to move closer togeth er. The longest continuous program o f re­ search in this field is the work of Herman Witkin and his col­ leagues (1954). . . . After extensive studies of a number of related tasks, Witkin and his colleagues concluded that people vary consistently in their ability to make a correct judgment or to separate the figure from the ground when conflicting cues are present in the perceptual field. Those who were unable to resist the conflicting context he called field dependent individuals. Field dependency revealed itself in a wide variety of perceptual and cognitive tasks and had some interesting personality corre­ lates as well. People who were markedly field dependent appeared to be more passive, less analytical, and less highly differenti­ ated in ego functioning than those who were not field dependent. More recently, Witkin (1962) has broadened his concept of field dependence by encompassing it within the rather general concept of psychological differentiation- Since his recent work grows out of developmental studies with children, it is particu­ larly relevant to the approaches undertaken by others working on cognitive style and personality development. A second stream of experimental activity involving cognitive sty le i s the work o f R iley Gardner and others at the Menninger Foundation (1960, 1962). In several dozen studies over the past ten y ea rs, Gardner and h is colleagues have te n ta tiv e ly id en tified 69

six fairly independent dimensions that have emerged in repeated factor-analysis studies. One of Gardner's six dimensions, field articulation, is essen­ tially the same as Witkin's field dependence. A second dimension, called leveling-sharpening, gets at the tendency to perceive a series of stimuli as similar even though there is gradual shift in the stimuli. The third of Gardner's dimensions, formerly called equivalence range, is now called conceptual differentiation. . . . The greater the number of groups that he (the subject) constructs, the higher his score on conceptual differentiation. . . . Gardner's fourth cognitive control of principle concerns the extensiveness of scanning or the amount of shifting of attention when trying to size up a stimulus. . . . The fifth dimension, called tolerance for unrealistic experiences, was postulated by Klein, Gardner, and Schlesinger (1962) to account for a common factor running through tests in­ volving the illu s io n of apparent movement, reversib le fig u res, and mode of approach to Rorschach inkblots. The last of Gardner's cognitive style dimensions is called constri cted-flexible control. . . . A third stream of experimental work dealing with cognitive style variables is best represented by recent studies of Jerome Kagan and his colleagues. While Witkin and Gardner have stressed perceptual tasks, Kagan has concentrated mostly on conceptual ac­ tivities, particularly in children. . . . The three conceptual styles in Kagan's test are analytic- descriptive , relational, and inferential-categorical. (Brim, et a l., 1966)

There are other aspects of conceptual style, such as attention span and motivation. (Messick and Ross, 1962, pp. 171-218) It is not feasible to consider all such variables in detail here. Many have shown that categorizing style is related to nonintellectual factors, such as motivation. Motivational and concept formation theory, can, in fact, be used to explain attitude development.

This trend towards underlying unity of psychological processes is shown in many approaches to cognitive processes today. (Harper, et a l., 1964) Michael Wallach argues for a multi-dimensional approach to the study of style aspects, such as analytical-global cognitive func­ tioning. Thus, several stylistic measures are taken for each research ta sk . A task might, therefore, be measured according to field 70 dependence, cognitive functioning, scanning, leveling, sharpening, in­

stead of according to just one of these measures. (Messick and Ross,

1962, p. 211)

Known techniques for studying conceptual style, such as simu­ lation of decision-making situations, could be used more extensively in the study of individual d ifferen ces in conceptualization. Lee Shulman, for example, has reported the development and use of these new indica­ tors of seeking styles of individuals:

1. the number of pieces of material attended to,

2. the number of problems reacted to,

3. the number of categories of information brought to bear

on the problem,

4. time spent in solving,

5. competency as measured by quality of the end product,

6. a ratio of material processed to time spent, and

7. a ratio of categories of information used to materials

processed.

Personality and aptitude scores were used with these indicators in research on decision making styles. Such indicators or similar indi­ cators might be adapted for research on cognitive mode. (Shulman,

1965) Riley Gardner has already used the amount of stimulus informa­ tion which a subject demands before committing himself to a response as an index of scanning behavior relevant to style of attending.

(Messick and Ross, 1962, p . 192) 71

Amount and Application of Conceptualization

Retention

Retention or the amount of conceptualization which remains

available after learning can be influenced by the educators through

presentations. As was just mentioned, a conceptualizer's memory

characteristics can limit the amount of conceptualization. Process­

ing rates and memory sizes must be taken into account. The communi­

cator can consider the size and span o f a learn er's memory and can

avoid interfering with learning by overtaxing them. More directly

relevant to retention are the areas of long and short term memory.

Short term memory holds anything that is being attended to or any­ thing that is being fixated, that is transferred to long term memory.

One of the important questions in this area is "To what extent is the human a serial processor of information?" His limited short term memory capacity suggests that he is a serial (successive, not simul­ taneous) processor to a great extent. Long term memory can contain an infinite number of bits of information. Short term memory for an adult is usually limited to seven bits of information. (Miller, 1956)

When the contents of memory are undergoing active complex, processing, the capacity of short term memory storage seems to be closer to two b its or chunks o f information.

The short-term memory is very small indeed. Under some condi­ tions, especially, it seems, when the contents are not being processed in any complex way, i t appears to hold the famous seven chunks. Where the contents are undergoing active processes, its capacity seems closer to two. By recoding in­ put material from many "small" chunks to fewer "large" chunks, its apparent capacity can be increased almost indefinitely. However, a symbol structure only becomes a chunk by being fixated in long-term memory (a process called in some con­ texts "familiarization!'). (Klausmeier, 1967, p. 245) 72

James Deese has noted that the ease with which items can be

clustered into categories w ill affect the amount that can be retained

and recalled. (Deese, 1958, p. 245) If items do not cluster easily

into seven or less categories or bits of information, then short-term

retention w ill probably be impossible because the amount of informa­

tio n to be coded w ill exceed the immediate memory span.

One indicator of the chunking or clustering potential of mate­

rial is redundancy. Redundancy can be defined as the ratio of the

amount of message used to the amount of information given. (Carroll,

1964, p. 56) The higher the ratio the greater the redundancy. Re­

dundancy can be achieved by exact or varied repetition.

Redundancy has been described as a ch aracteristic o f highly

organized m aterial by James Deese. He sta te s that higher redundancy tends to produce better retention principally because of the smaller number of things to be learned. (Deese, 1956, p. 242) The writer feels that while redundancy is characteristic of material which is more likely to be retained, it is not necessarily a characteristic of organization. The effects of redundancy on retention may be due more to practice than to organization. This possibility needs to be considered. Furthermore, the concept of bit of information needs much more d e fin itio n . A message can be about one theme and yet i t need not be redundant if it is very complex. As it is now used "number of bits" usually refers to the number of chunks of information into which a message can be reduced.

David Ausubel comments that stability of concepts is probably due more to the anchorability of concepts in the cognitive structure than it is due to clustering or less material to be retained. By 73 anchorability he means their relevance to other concepts which are re­ tained in the cognitive structure and their capacity to integrate these other concepts. (Ausubel, 1968, pp. 148, 149) The writer wonders if

Ausubel is not describing a type of clustering when he speaks of the integrative capacity of concepts. The ideas of retention being due to less material or presentation organization and to greater anchorability or internal organization are not mutually exclusive. They may simply refer to different varieties of redundancies.

Ausubel also documents the superiority of meaningful learning over rote learning for retention. By meaningful learning he means learning that relates material to the existing cognitive structure as the learning process progresses. (Ausubel, 1968, p. 113)

What do these conclusions about retention suggest for educa­ tional communications, especially for communication for conceptual learning? First, the findings emphasize the need for organization of content. Organization is a key factor in remembering. The findings in d icate th at communicators would be wise to find ways to schematize content for the learner so that it could be clustered. The following ways to schematize content for the learner are suggested by this w riter:

1. grids summarizing variables

2. continua expressing range

3. sentences stating key points

4. diagrams showing relationships

5. flow charts visualizing processes

6. o u tlin es summarizing dominant and subordinate

relationships 74

7. introductory passages which give a relevant conceptual

framework for organizing details ,

A communicator actu ally should help to recode content more concisely

for memory.

It is David P. Ausubel who suggests that advance organizers would be very u seful for helping learners recode for reten tion . Ad­

vance organizers are described by Ausubel as introductory materials that are maximally clear, stable, inclusive, explanatory, and integra­ tive. They are concepts at a high level of generality. Ausubel de­

fin e s organizers as "appropriate and relevant subsuming concepts."

Organizers, then, are introductory passages which "serve as an ideological framework for organizing the particular substantive body of more detailed ideas, facts, and relationships in the learning passage." The introductory passage must contain background material which is presented "at a much higher level of abstraction, generality and inclusiveness" than the learning passage. It should be designed to serve as a focus for relating the material to be learned to the existing cognitive structure. (Ausubel, 1960, pp. 267, 268)

For example, as an advance organizer for a 2500 word passage on the metallurgical properties of plain carbon steel, Ausubel uses a

500 word introductory passage on the major sim ilarities and differences between metals and their alloys, their respective advantages and limi­ tations, and the reasons for making and using alloys. The information in this introductory passage is general, not specific. A passage on the historical evolution of methods used in the production of iron and steel would not be useful as an advance organizer for learning the metallurgical properties of plain carbon steel. This is because it 75

would contain no conceptual material that could serve as an organizing

framework for d e ta ils on the m etallurgical properties of plain carbon

s t e e l. Yet, the h isto r ic a l approach i s the tra d itio n a l introductory

approach used in textbooks. (Ausubel, 1960, pp. 268, 269)

Another example of an advance organizer used by Ausubel is an

expository organizer for a passage on endocrinology. The 500 word in­

troductory passage described the different kinds of uniformity and

variability prevailing among the primary and secondary sex character­

istics. This was an organizer for a 1400 word passage concerned with

the specific hormonal factors initiating and regulating pubescence.

The introductory and first learning passages were followed by another

learning passage. This second learning passage was 1600 words and

considered pathological variations in pubescence and their treatment.

An example of a nonorganizing introduction for these two learning

passages would be an introductory passage dealing with uniformity and

variability among different cultures in behavioral aspects of pubes­

cence. (Ausubel and Fitzgerald, 1962, p. 245)

Advance organizers can make content more meaningful. The

meaningfulness of content seems to be associated with the ability of

content to be organized internally. Meaningfulness, then, is impor­ tant to organization for retention.

In conjunction with organization and with practice, the find­ ings suggest the value of incorporating redundancy. The reader should keep in mind though that varied repetition is more attention-holding than exact repetition. Redundancy through variety would then be the most d esirab le form o f redundancy. I t would be wise to remember that if there is zero redundancy in language, there is no verbal context 76

effect. In that case, one must perceive every sound accurately in order

to comprehend. Since such perfect perception is u n likely to occur be­

cause of noise factors, zero redundancy would make speech a highly in­

adequate communication system. (Krech and C rutchfield, 1967, p. 469)

The e ffe c ts o f practice ind icate that the communicator can also control

stimulus and response conditions leading to overlearning* such as imme­

diate and delayed review.

Another relevant finding here is that certain cues are more

readily retained. ( Lynch, 1966) For example, in reading the le tte r s

at either end and in the middle of a word are more easily retained

than letters in the second or fourth position. In a study by A. A.

Lumsdaine, memory was superior when the picture instead of a word was

used in a cue position. (Lumsdaine, 1949) Neil Miller notes the need

for additional research to determine the forgetting curves for visual

memory and to analyze the factors affecting these curves- (Miller,

1957, p. 107)

The role of visual media, such as motion pictures is thus sig­

nificant in communicating for retention of conceptual learning. This

is a logical assumption in the light of findings about retention.

Clearly, films can prevent ambiguity and confusion, which hamper re­

ten tion . They can organize content and pace i t s d eliv ery . They can

vary redundant content through animation, close-ups, sound. They can

be shown again for review. They can be used to guide and pace prac­ tice. All these elements enhance retention-

*"Overleaming: n. learning in which practice proceeds beyond the point where the act can ju st be performed with the required degree of excellence. There is no implication that the practice has been car­ ried to injudicious lengths." (English and English, 1958, p. 366) 77

In summary, communicators can control retention of concepts to

some extent by considering the factors of size and span of memory, of

long and short term memory. Furthermore, audiovisual communication can

affect retention by the use of visual as well as verbal, by the use of

redundancy and by schematization and other methods of organization and

practice. The three key ideas for communicators in the area of reten­

tion are clarity of organization, nature of practice, and cuing for re­

coding. Organization encompasses meaningfulness, redundancy, schemati­

zation, chunking, or clustering the amount of content. Practice encom­

passes redundancy, delayed and immediate review, overlearning, the

nature of examples, and the speed of learning. Cuing for recoding

encompasses using visual cues and positioning cues.

Transfer

The extent to which conceptualization, once learned, is em­

ployed can be influenced by the instructional materials specialist.

This subject is dealt with in the literature on transfer. "Transfer"

refers to the effect of previous learning on subsequent learning. If transfer can vary in amount and in negative and positive application, then conceptualization can vary similarly. The educator can influence the use of concepts by influencing transfer.

Positive transfer is transfer that facilitates learning. Nega­ tive transfer is transfer that interferes with learning. An example of negative transfer would be when the learning of the shaking or stirring methods for mixing liquids prevents one from trying a more efficient technique for mixing such as pouring through a special porous device. 78

An example of positive transfer would be when the learning sk ill

such as typing on a manual typewriter, makes it easier to learn another

sk ill, such as typing on an electric typewriter.

After a review of the literature, the research data on how to produce positive transfer seems to fall into these categories:

1. influencing the similarity of stimuli,

2. influencing discrimination of features,

3. influencing patterns of responding,

4. influencing understanding of relationships.

Clark Hull studied the efficiency of transfer when identical elements were emphasized by the use of color. In his experiment, Hull found that mildly drawing attention to common elements helped concept formation. However, it helped slightly less in a normal learning sit­ uation than it did in a laboratory learning situation. In the labora­ tory situation, the efficiency of the process was progressively in­ creased by drawing attention to common elements, but when the subject tried to transfer his learning to normal experiences, there was a slight decrease in learning efficiency.

Since the number of elements which are identical can vary from all to none, from absolute identity to absolute difference, the degree of similarity between situations may vary. (Noble, 1957) R. R. Bush and F. Hosteller have developed an index of similarity to measure the likelihood of generalization between two situations due to similarity.

(Bush and Hosteller, 1951) Bush and Hosteller infer the degree of sim ila rity by comparing response data. They assume th at what trans­ fers is similar. James Deese comments critically on the contribution 79

of Bush and Hosteller to an explanation of transfer due to generaliza­

tion on the basis of stimulus similarity.

Bush and Hosteller (1951) do suggest an index of similarity between stimuli, but they are unable to provide any way of rationally relating this index to the physical characteristics, such as size, distance, and intensity, that we use in measuring stimuli. Thus they are unable to suggest an exact mathematical statement of the principle of stimulus generalization.

Stimulus predifferentiation, another factor in transfer, refers

to preliminary practice in distinguishing between the stimuli involved

in the learning task. The phrase refers to training for transfer of

discrimination or perceptual judgment. For example, if successful

learning from a photography lesson taught to elementary school stu­

dents requires that a student recognize when a flashbulb has not ex­

ploded as planned, stimulus predifferentiation training may require

the student to practice giving different responses to new and used

flashbulbs. The success of stimulus predifferentiation appears to be

related to the amount of training. There seems to be a minimum number

of trials for attaining stimulus predifferentiation and a maximum num­

ber of trials beyond which no more positive transfer effects can be

produced. (Grose and Bimey, 1963, p. 87) Successful transfer achieved

by stimulus predifferentiation has been attributed to acquired distinc­ tiveness of cues, increased meaningfulness, attention to cues and re­

duction in response generalization. None of these reasons are supported by adequate experimental evidence. Another reason for successful trans­

fer due to stimulus predifferentiation is schema learning. According to this theory, a schema is learned by stimulus predifferentiation. By schema I mean a model for organizing data. Around th is schema

*Schema: "a number o f ideas or concepts combined into a coherent plan or outline, a plan or model that displays the essential or important relations between concepts." (English and English, 1958, p. 478) 80

variations may be organized and learned.

F. Attneave hypothesizes that in the course of pretraining, the

subject learns three things about a class of stimuli. These three class

parameters combine to form the schema to which individual stim uli are

later related. The parameters are that which the members of the class

have most in common, that which the members of the class are most

likely to differ on and how much the members of the class may differ

from one another. This princip le has been demonstrated in experimental

research which required the subject to practice drawing a prototype be­

fore a transfer task was presented. (Grose and Bimey, 1963, pp. 98-99)

There is another approach to explaining transfer which involves

a factor relatin g to patterns of responding. This approach concen­

tra tes on the whole learning situ a tio n rather than on the components of

the learning situations. This is the approach of those who believe that what is learned and transferred is a general set for learning. As

early as 1908, Charles H. Judd asserted that it was not the subject but rather the training for generalization that was important in transfer.

(Judd, 1908)

The idea of a general learning set which transferred was fin a lly presented by Harry F. Harlow. While Harlow recognizes that learning set research is an instance of transfer of training, he be­ lieves that it is also more than transfer of training. Learning sets enable one to transfer patterns of responding to distinctively dif­ ferent problems. Unlike transfer of training (to similar problems) which can occur as a result of training on a single problem, learning sets are established by experience with many different problems.

Learning set tran sfer a p p lies, th erefo re, to more complex problems. 81

It is a special type of transfer. According to Harlow, an animal grad­

ually proceeds from trial-and-error to insightful learning. It is this

insightful learning which allows for transfer of a learning set.

James Knowlton comments on Harlow's p o sitio n . Knowlton agrees

that learning set phenomena are a special type of transfer. He agrees

that they cannot be written off as being like any other case of trans­

fer of training because transfer due to learning set requires consider­

able training and training on a wide variety of problems. (Knowlton,

1964, pp. 5.4-5.12) It is safe to conclude that the transfer of con­

cept learning can be due to the learning of learning s e ts .

Knowlton reacts unfavorably to a few of Harlow's p oin ts. He

criticizes Harlow's position as follows:

Harlow (1959) expresses the view that concept formation is learning-set learning; that an animal must have had a history of having solved similar problems if it solves a particular prob­ lem "insightfully." In Hebb's (1949) view, though, there are not clearly justifiable criteria for labeling one kind of learning "insightful," and other kinds, "not insightful." Rather, it seems more defensible to speak o f degree o f in sig h t. I f one has no clear basis for speaking of differing degrees of similarity between a present problem and problems previously solved, Harlow's view may be valid, even necessary; but it is a view that seems to generally be valid to be provocative. There is a question, too, about the notion of "concept formation." Speaking of concept formation only in passing, Harlow says this: "Broad stimulus generalization, which is what we call concept formation, was obtained only after exten­ sive training on a wide range of problems of a class. ..." (1959, p. 511). It seems to me that "broad stimulus generaliza­ tion" is quite precisely what concept formation is not. (Knowlton, 1964, pp. 5.11-5.12)

In making th is la s t statement Knowlton is equating broad stimu­ lus generalization with primary stimulus generalization. In Knowlton's theoretical system, primary stimulus generalization represents no cate­ gories and has high immediacy of a ttrib u tes. Primary stimulus general­ ization is limited to physiognomic perception. Secondary stimulus 82

generalization, on the other hand, allows for both perceptual and con­

ceptual categorizing. Perceptual categorizing has high immediacy of

attributes. Conceptual categorizing has low immediacy of attributes.

The concept "red" i s a perceptual category resu ltin g from secondary

generalization. The concept "animal" is a conceptual category result­

ing from secondary generalization. Secondary stimulus generalization

in Knowlton's theoretical system is not, therefore, broad stimulus

generalization. Secondary stimulus generalization involves discrimi­

nating criterial attributes. (Knowlton, 1964, pp. 5.24-5.26)

F in a lly , the G estalt approach includes a theory o f tran sfer.

(Kohler, 1947) As does Harlow, this approach gives insight a central

place in transfer. Gestaltists concentrate on the relations within the

whole situation. Identical elements are not necessary, but an under­

standing of relationships is.

Gestalt psychologists believe "that parts of a whole may be

compared with parts of another whole in terms only of their role or

function in these wholes." Furthermore, the properties of a whole (a gestalt) are not derived from the sum of its parts; although thé parts

of a whole derive their properties from the whole. For example, the qualities of a B Flat cannot be separated from the qualities of a melody. Learning is believed to be a combination of separate responses to a combination of separate stimuli. As such it proceeds by reorgani­ zation, not accretion. According to Gestalt theory, there are condi­ tions favorable to the experience of wholeness. Such a condition is proximity or closeness of components in time or space. Such conditions are favorable to the perception of relationships of parts to the whole.

(English and English, 1958, p. 225) 83

Gestalt psychology, then, finds transfer dependent on recogni­

tion of sim ilarities between wholes. This means transfer depends on the appropriateness of the application of the relationships in one sit­

uation to another situation. While behaviorists tend to see percep­ tion as influencing conceptualization, Gestaltists tend to see concep­ tualization as influencing perception. Transfer, thus, holds a more

central position in the learning theory of the Gestaltists than in the learning theory of the behaviorists. (Wallace, 1965, pp. 237-38)

Lyle Bourne Jr. reviews the findings on transfer as they re­ late to performance of a conceptual task. (Bourne, 1966, pp. 98-105)

Experiments on conditioning have generally found that the stronger the original learning is made by reinforcement the less likely the subject i s to change h is response. D. A. Grant and h is co-workers, however, have found the opposite to be true with the more complex categorical behavior of conceptual learning. As a result of their experiments.

Grant and his co-workers concluded that the stronger the original con­ ceptual learning, the more rapid was the change to a new solution when the experiment required such a change. Grant attributed this to a greater ability to discriminate developed by strong original learning.

If it is true that the greater the degree of learning, the more likely it is that positive, not negative, transfer will occur in com­ plex categorical learning, then the motion picture may have special value for transfer. For the visual image of a motion picture may be not necessarily so specific as we have thought. A film may provide many sp e c ific images which provide meaning for more general images.

Perhaps audiovisual materials can furnish the depth and degree of learning required for broad transfer without developing the rigidity 84

which interferes with learning. Bourne notes that using a variety of

examples in media is useful only so long as the training on multiple

problems is of a high enough degree to allow for positive transfer.

When a number of examples is used for training, sufficient practice

should be given on examples to produce a high degree of learning,

otherwise, transfer may not occur despite breadth of experience.

What happens if a student is given some pretraining in compo­

nents of a task, such as some vocabulary concepts integral to a con­

cept learning task? If appropriate cues (component cues) are learned

during pretraining, then, learning of the concept w ill be facilitated.

Media designs can provide for pretraining in component cues by using

instructor guides to film s, te le v isio n programs and other media; by

giving pretests; by introducing concepts which w ill be used during the

presentation. It has been hypothesized that such pretraining is effec­

tive because it allows the correct cues to become dominant. The media

specialist's problem is to select the correct cues for pretraining—to

select those words and images that are most important for understanding

the message.

Another factor reviewed by Bourne is the success of different

types of problem shifts. Conceptualizing which requires a subject to

change his basis for categorizing from one dimension to another is

called a nonreversal shift. If categorizing is changed but the same

dimension is used for sorting, the shift is called reversal. In

other words, in a reversal shift the categorizing is done on the di­

mension color both before and after the shift; although the specific

color association may have changed. If the change requires sorting on the dimension of shape instead of color, the shift is nonreversal. A 85

reversal shift might require associating red with a negative response and green with a positive response, instead of red with positive and green with negative as was originally done.

The findings suggest that adults find it easier to shift pri­ marily on the basis of internal verbal manipulations than on the basis of a new physical dimension for sorting. They find it easier to simply do the opposite than to do something very different. Conversely, chil­ dren may find problems which provide a change in a physical dimension as a basis for conceptualization more likely to facilitate learning than problems which provide only the verbal rule "do the converse" as a basis for categorizing.

Besides support for the role verbal ability plays in the ease of shifting, there are indications from research that the number of response categories affects the relative difficulty of reversal and nonreversal s h ifts and th at any transfer from eith er reversal or non­ reversal shifts may be negative. We need to know why it may be nega­ tive. We need to know whether a consideration of shifts is important when developing a concept that needs to be transferred. For when the goal is transfer of a concept, it may be important to avoid learning by the use of shifts.

Perhaps practice in transferring learning from shifts of both types is necessary before shifts can successfully transfer. Even if this is the case, it may not be feasible to train children to use re­ versal shifts for conceptualizing or for transferring learning at too early an age.

Finally, Bourne proposes that the factor of pre-established set can affect transfer of training. Pre-establishing set by 86

preliminary experience with words associated with relevant stimulus

attributes facilitates performance more than pre-establishing set with

irrelevant or neutral stimulus attribute words does. Moreover, the

degree of positive transfer due to pre-establishing set with relevant

attributes increased as problem complexity increased.

The guidelines suggested by Stephens, Bourne and the classic

research on transfer which are most applicable and important for media

design might be summarized as follows:

1. Bring out the feature to be transferred by pretraining or

pre-establishing s e t . The more complex the problem the

more helpful this procedure is likely to be.

2. Arrange for overlearning or a s u ffic ie n tly high degree of

learning. This is especially important when many varied

examples are used; otherwise breadth of experience may

simply confuse.

3. Provide a variety of experience which presents a sufficient

number of problems to ensure the learning of a general

so lu tio n .

4. Provide for practice in applying solutions to other

fields. Help students understand how concepts may be

related to other situations.

5. Emphasize the sim ilarity between tasks when you want

positive transfer to occur.

The complexity of the learning problems confronting the teacher, the number of students a teacher must help, and the limited time a teacher has available for preparing materials all suggest that it may be futile to expect teachers to effectively apply learning principles 87

without the help of the media specialist* We need curricular packages

which have sound learning principles as their organizational base. The

media specialist's job is to prepare materials based on principles sub­

stantiated by research evidence. The teacher's job is to use materials

according to principles substantiated by research evidence.

Both the teacher and the media specialist can thus influence the

characteristics of the communication. Both the teacher and the media

specialist can, therefore, determine the characteristics of concepts

formed.

The ch aracteristics of concepts which can be influenced by the

characteristics of the communication include form, effect, content, type

of learning, style, amount and application. In Chapter VIII on page 356,

Table 17, "A Taxonomy of Characteristics Which Interact in Conceptual

Communication," the reader w ill find a summary of the variable charac­ teristics of concepts discussed in this chapter.

The Appendix presented on pages 370-73 lists and annotates tests which can be used for research on the characteristics o f concepts- /

CHAPTER IV

THE PROCESS OF CONCEPTUALIZATION

What happens during concept formation? What processes are in­

volved in conceptualization? We must be able to answer these questions

before we can know when and how conceptualization can be influenced by

the instructional message or by the conceptualizer. This chapter w ill

be concerned with the internal processes which can be influenced by ex­

ternal transmission.

While we do not understand exactly what happens to the brain

during conceptualization, there are many important questions about in­

ternal processes which we can begin to answer. We know how the commu­

nications systems of the body interact during concept formation. We

know further what characteristics of the original perception affect the

recoding process. We know what role the reticular formation plays in

concept formation. We understand the importance of the symbolic re­

sponses of imagery or verbalization for concept formation. We know

something of what happens to symbolic responses that are stored by the

learner. We have findings about individual differences in concept

formation which suggest guidelines for influencing the processes of

imagery and verbalization.

The Role of Recoding

Recoding means a change in the representation of a message.

The processes of conceptualization involve recoding from the first

8 8 89

step in perception through the last step in transmission* In recoding,

symbolism, or representation of messages, is required. If symbols were

not used there would be no means for manipulating the messages as a ll

the data sensed about stimuli cannot be handled by the nervous system

at the spinal cord and brain level. Some reduction or compression must

occur.

Nerve Pathways

The reason that symbolization must occur is that the number of

pathways available for information transmission changes as the message

travels to and from the brain. An exploration of nerve fibers avail­

able at different points of processing could yield valuable research.

It is possible that the explanation for abstraction, generalization,

and symbolization may lie in the different number of pathways available

at different times because of the varied types of nerve cells and

fibers used by the nervous system.

Perhaps we must abstract because fewer pathways become avail­

able. Conversely, perhaps we generalize because more pathways become

available for transmission to and from certain fibers. Because we must

abstract and generalize, we symbolize or represent. Because we symbol­

iz e we can store messages.

We know little about how recoding occurs. We do know that the

RNA (ribonucleic acid) molecule used for the synthesis of protein by

nerve cells seems to be necessary for cell memory. We know further

that the structure of RNA makes possible immense variability in forma­ tion of these "memory traces" (if they are such). (Asimov, 1963,

p . 339) 90

If this great variability is possible, then some explanation

for recoding may lie in this variability, just as some explanation for

it may lie in the number of pathways available. Since 90 per cent of

all the nerves in the body are in the cerebral cortex of the brain, it

is likely that the number of available pathways is much greater in the

brain than elsewhere. This may mean that recoding occurs primarily in

the brain,but we don't know for sure.

The convolutions or gyri of the cortex that form the surface

of the cerebral hemispheres give the brain some of the appearance of a

shelled walnut. The convolutions give the brain surface much more

area and probably have something to do with intelligence. The convolu­

tions probably allow for more nerve cells and pathways. Man’s

cerebral cortex surface is more complex and convoluted than other

animals. (Wilson, 1964, p. 36)

We know that in general the nerve fibers of the cortex seem to

become fewer as they go to the lower part of the brain and towards the

center. They feed in to a few nerves which connect with the spinal

cord. This arrangement of nerve fibers could be likened to the ar­

rangement of the strings of a parachute. Moreover, we know that there

are fibers which connect the different areas in the different lobes of

the brain. The cerebral cortex is divided by fissures into lobes. The

lobes are labeled in Figure 10 on the following page. The function

most associated with each lobe is given. The lobes seem to serve a

multiplicity of purposes, however.

Connecting these lobes are projection fibers, association

fibers and commissural fibers. Projection fibers run from above down­ ward. They form the parachute strings. Association fibers run from the 91

Sensation

Reasoning '

Vision

Memory

Fig. 10.—The lobes of the brain. (Taylor, 1965, p. 204)

front and back of the same side of the brain. The commissural fibers

connect the right and left sides of the cerebrum. Such a complicated

system of integrated fibers allows for more complex thought. It also

allows for more mistakes to be made than simpler forms of animal life

usually make. (Langer, 1951) The system is illustrated in Figures 11,

12, and 13, on the following page. Although we know that these fibers

exist and serve to connect different parts of the brain, we do not

fully understand how they work to produce interrelationships. Our knowledge about the association and commissural fibers is especially

inadequate. We do know that there is "crosstalk” between nerve fibers.

We also know that learning increases the number of connections between cells, not the number of cells. (Pfeiffer, 1955, pp. 9, 38) 92

Fig. 11.—The direction of association fibers in the cortex.

Motor Tract Sensory Tract

Visual Tract Auditory Tract

Cerebellum

Fig. 12.—The direction of projection fibers in the cortex.

Fig. 13.—Cut away of the commissural fibers in the cortex.

(Figures 11, 12, and 13 are based on information and drawings given in Taylor, 1965, p. 201 and Kimber et a l., 1966, pp. 266, 273, 279) 93

There is some knowledge about the cell structure of the brain

and about the visual fibers which may help explain how recoding occurs.

The visual system illustrates well the continuous recoding that occurs

during internal message transmission. The eye contains rod cells which

are altered chemically by light rays. The chemical reaction causes a

discharge of nerve impulses in the nerve cells with which the rods are

connected. (Taylor, 1965, p. 243) Finally, impulses emerge in the

form of repetitive discharges in the fibers of the optic nerve.

It must be emphasized, however, that the optic nerve impulses do not mirror exactly the excitation of the sensory cells by light. Complex interactions within the retina serve to enhance certain responses and to suppress others. Furthermore it is a fact that each eye contains more than a hundred tim es as many sensory c e lls as optic nerve fibers. Thus it would appear that much of the in­ tegrative action of the visual system has already occurred within the retina before the brain has had a chance to act. ("Vision," McGraw H ill, 1966, p. 335)

We know th at the fib ers from both eyes meet at the optic chiasma. At that point half of the fibers from each side cross over to the other side. From the optica chiasma, then, the fibers travel to the side of the brain opposite the point of origination. It is in­ teresting to speculate about the function of the fibers which don't cross over. Do they play an integrative role? Do they help match the impulses on both sides of the brain? Or do they just serve as a pre­ cautionary measure against one function of the brain being too localized?

Duplicate messages are often transmitted to different parts of the brain. This enables one to overcome damage to one part of the brain by learning to use another part of the brain instead. This par­ tial crossing over of fibers is duplicated in many other parts of the nervous system. The function of crossover and partial crossover needs 94

study. An understanding of them may help us to better understand the

recoding process.

From the optica chiasma the fib ers tra v el via the optic nerves

to the occipital cortex areas. The route described so far can be rep­

resented as follows:

Optic Chiasma

Eye,

Optic Nerves

Occipital Cortex

Fig. 14.—The eyes and the visual projection system. (McGraw H ill, 1966, p. 335)

The first place the visual signals reach in the occipital lobe is

Brodmann's Area Four. This is a str ia te area. I t i s called str ia te because its cells are arranged as parallel streaks or rows. When en­ larged this area looks like Figure 15, page 95.

In the visual projection area there seems to be a spatial rep­ resentation of the retinal impulses. This appears to be a point for point correspondence, each point of which represents a point on the retina and therefore a point in visual space as seen by the eye. The retinal maps from each side of the brain can merge. Just how this oc­ curs is not completely understood. Although the coding of Brodmann's 95

. “ i r \

vT.A y: W:;;:ÆP

Fig. 1 5 .—The Arrangement of S tria te C ells (Gregory, 1966, frontispiece) 96

Area Four seems to correspond clo sely with the coding of the r e tin a ,

some selection and rearrangement of information takes place.

Two American psychologists D. H. Hubei and T. N. Wiesel studied

the activity of single cells in the visual area of the cat's brain.

Their findings suggest that there are analyzing mechanisms in the brain

for selectin g certain features. They found that some c e lls would fir e

impulses only when a bar of light was presented at a certain angle or

when light movement was presented in a certain direction. Different

c e lls responded to d ifferen t angles and movements. While there is a

closely corresponding representation of the original coding, the man­

ner of coding is probably not the same. The selective firing of dif­

ferent cells w ill probably not produce a brain picture. At least not

one like the mental pictures we usually think of. Retinal patterns are

represented by coded combinations o f c e ll a c tiv ity . Hubei and Wiesel are now trying to discover the code. (Gregory, 1966, pp. 68-71)

(Scientific American, 1966, pp. 274-78)

From the visual projection area, Brodmann's Area Four, the message travels to areas deeper within the brain and to areas more toward the edges of the occipital lobes. These are the regions which are next to the central str ia te area and which surround i t . They in ­ clude the p eristria te area (Brodmann's Area Eighteen) and the para- s tr ia te area (Brodmann's Area Nineteen) which appear ju st beside the central striate area. Areas Eighteen and Nineteen are called the prestriate areas. Stimulation of these surrounding regions in man also gives visual sensations, but instead of the flashes of light corresponding to a change in the position of a light, these areas give more elaborate visual sensations. The light may become a 97

floating balloon in a brilliant sky. Further away from the visual

projection center stimulation may elicit visual memories, even ones of

complete scenes.

Hubei and Wiesel found th at c e lls deeper in the visu a l areas

of the brain would respond to more generalized ch aracteristics such as

a general instead of a more specific direction of movement or angle, and would respond to these ch aracteristics no matter what part of the retina was stimulated by the light. (Gregory, 1966, pp. 68-69)

The peripheral visual areas, Brodmann’s Areas Eighteen and

Nineteen, seem to function as interpreters of patterns. The peri­ striate area (area eighteen) seems to serve as a storer of previous discrimination and learning. Injuries to Area Eighteen can produce agnosia, loss of the ability to recognize seen obj ects. Animals with lesions in Area Nineteen seem to lose the effects of previous discrimi­ nation learning. Ability to visualize remembered objects is impaired.

(Berlyne, 1965, p. 133)

The stimulation of the areas surrounding the central striate area seems to produce elaborate sensations; yet the nerve connections within these surrounding areas do not seem to be as elaborate as the nerve connections between the retina and the central striate area or between the striate and peristriate areas. Nor are the nerve connec­ tions as elaborate as those within the central striate area. Conse­ quently, when a message is transmitted within the prestriate areas another recoding seems to be required because there are fewer fibers leading to some parts of the prestriate areas than there are to other parts. 98

What happens is that the farther away from the central striate

area that the message is transmitted, the more generalized the cell re­

sponse becomes. In other words, the same cell w ill be activated by

many different messages and can in turn activate many different mes­

sages.

D. E. Berlyne, a psychologist of the associationist school,

explains the effects of the arrangement of fibers.

There are fibers conducting excitation from the striate to the prestriate areas, but, once these are reached , point-by­ point correspondence with the retina is lost. Fibers go from one point in Area 17 to widely scattered points in Area 18, and points from different parts of Area 17 converge on the same point in Area 18. This is precisely the kind of arrangement that we should expect if structures in Area 18 had the task of sifting information coming in through the eyes, so that one cen­ te r in Area 18 responded to features th at might be found in stimulus patterns impinging on different sectors of the retina or to relations between properties of stimuli reaching different sectors of the retina. The same sort of dispersion and conver­ gence appears in the arrangement of fibers conveying excitation from Area 18 to Area 19 and from there to other parts o f the cortex.

Areas 18 and 19 receive fibers from other parts of the cor­ tex, as well as from the brain stem. Through such fibers, con­ ditioned responses can, no doubt, be evoked in the prestriate areas in the absence of the corresponding external stimuli. There conditioned cerebral responses w ill, of course, be able to serve as covert symbolic responses of a kind that we should classify as imagery. Although the investigations that we have been discussing have all concentrated on vision, there is every reason to be­ lieve that information originating in other modalities goes through analogous processing. (Berlyne, 1965, pp. 133, 134)

R. M. W. Travers notes that there are more rather than fewer fibers as the message approaches the higher levels of the nervous sys­ tem. (Travers, 1967, p. 136) He suggests that this proliferation per­ mits wide diffusion of information in contrast to the compression pro­ duced by the fewer fibers between areas which have just been discussed.

The information which can be diffused widely i s sensory information. 99

Evidence for this wide diffusion of information as it leaves the pre­

striate areas may be found in the different cell structures common in

each layer of the cortex. It may also be found in the great number of

association, commissural and projection fibers which connect various

parts of the brain. The cell layers of the cerebral cortex include

layers of densely packed fibers and layers with fibers sparsely

placed. The message passes through such layers on its way to other

lobes and areas of the brain and on its way to the spinal cord. Both

elaboration and abstraction of information take place after the visual message leaves the visual areas. The more densely fibered cell layers are likely to be the agents for separating information into smaller bits, whereas the layers of fewer fibers are likely to contain cells which allow for more generalized responding.

After leaving the visual area a message can travel via asso­ ciation fibers to the gray matter of the cortex, then can travel through these cell layers as it is sent to the projection fibers which connect with the spinal cord. The process of transmission from percep­ tion to motor response is thus one of continuous recoding. For recoding occurs at a l l le v e ls much,like the old game of Ghost where one person starts a story and the others pass the story on as they hear it whis­ pered to them.

What meaning does a ll this internal recoding have for the audio­ visual communications expert, for the teacher, for the curriculum specialist? For one thing it means we should expect some abstraction

(separating of ideas) and some further generalization (combining of ideas) to take place even if the message is already abstract and gen­ eral. This implies a need for checking the student's conceptual 100

recoding by requiring a response. It implies further that ways for

separating ideas and combining ideas may be useful if offered in the

original message.

Robert Travers describes the recoding process as coding-encom-

pressing-storing-reconstructing-reproducing. (Travers, 1967, p. 136)

The compressing involves a reduction of redundancy. The incomplete

image can be expanded to completeness by f il lin g in d e ta ils according

to a code. The in stru ction al communicator should endeavor to under­

stand the codes used by a learner for filling in images which have had

their redundancy reduced.

E xcitation and Inhibition Phenomenon

There is another area in recoding which has significance for

the instructional media specialist. This is the area of excitation

and inhibition phenomena which affect recoding. The importance of in­

hibition phenomena to recoding for concept formation is supported by

L. L. Thustone's belief that the ability to abstract depends on inhibi­

tion. (McKeller, 1957, pp. 103-105)

Excitation phenomena include stimulus area, intensity effects,

and time of exposure effects. Inhibition phenomena include habituation

effects, mutual inhibition and rebound effects. Each of these phenomena

suggests procedures which w ill improve recoding. Increased area and time of exposure can f a c ilit a t e recoding. Mutual in h ib ition can cause

a sharpening of contrast and inhibition of transmission. Stimulus intensity can increase excitation.

As the intensity of the stimulus increases, the intensity of the response increases. This principle can be qualified further by 101

describing the relative rates of increase. As the intensity of the

stimulus increases, the intensity of the stimulus coding increases but

at a slower rate than the physical stimulus does. Furthermore, if a

change in physical in ten sity is too sm all, i t cannot be detected. So

if one wants to make the stimulus appear three times as bright, one

may need to increase the intensity of the stimulus nine times. This

is a law of psychophysics known as Fechner’s Law. (Teitelbaum, 1967,

p. 45) An interesting but unanswered question is . When does overinten­

sity tend to cause inhibition?

Another psychophysical law which applies to excitation and in­ te n sity is R icco's law of sp a tia l summation. This law says th at at any given duration, the greater the area of the stimulus, the easier the stimulus is to perceive. The effect of the stimulus summates over the area, thus—sp a tia l summation. Beyond a certain s iz e , however, th is law of excitation does not hold. This is because mutual in h ib itio n , which w ill be explained shortly occurs.

The effects of exposure time increases on stimulus coding are given in the Bunsen-Roscoe Law o f Temporal Summation. This law sta tes that at any given intensity, the longer the visual stimulus endures, the easier it is to see. Thus, the intensity is inversely proportional to stimulus duration for exposures lasting up to .1 second- The effect of a stimulus, then, summates over time. The limitation of the effect to exposures of up to .01 second means that this law could be useful to the film maker and other media specialists, but probably not to the classroom teacher. The classroom teacher must work with larger units of time. (Teitelbaum, 1967, pp. 16, 23-25, 45-46) 102

J . Bruner, R. D* Busiek and A. L. Mintum (1952) studied the

effect of verbal labels and their exposure time on the drawing of

figures to approximate the subject's concept of a label. They failed

to find a decrease in effect of the label with increasing exposure

time. This suggests that under labeling conditions subjects are not

influenced by the effect of exposure time. D. T. Herman, R. H. Lawless

and R. W. Marshall (1957), however, showed that variation in exposure

times influences the effect of verbal labeling. They used longer expo­

sure tim es than Bruner and h is a sso cia tes. They found th at when a

stimulus was exposed for one or two seconds, the effect of the verbal

label is greater than when the stimulus is exposed for five seconds.

(Postman, 1964, pp. 453, 454)

These studies suggest that further research is needed on the

effects of increasing the time of stimulus exposure. Research is needed especially in the areas of time limits for effective excitation and of the interaction of labeling with time effects. We need to dis­

cover the amounts of exposure time that have optimal effects on coding.

There appear to be different minimal and maximal exposure duration times for verbal labels and for nonverbal forms.

Another important finding for communications designers is that there is a phenomenon called mutual in h ib ition which a ffe c ts coding.

Mutual inhibition occurs because receptor cells interact. As a conse­ quence the firing of each cell is affected to some degree by the ac­ tivity of neighboring cells. When two adjacent receptors, such as two receptors of the eye, are stimulated at the same time, each discharges fewer impulses than when it receives the same amount of light by it ­ self. The inhibition of each cell is given by the sum of the 103

inhibitory effects from all other cells. When some areas of a visual

stimulus are intensely lit and some areas are dimly lit, mutual inhibi­

tion can cause an exaggeration of these differences* As a result con­

trast is heightened, and the stimulus coding is distorted. This occurs

because the more strongly illuminated regions inhibit neighboring re­

gions more than do dimly illuminated regions. The further apart the

contrasting areas of the stimulus are, the less distorted the coding w ill be by mutual inhibition. If we wish to sharpen contrast in mes­

sages, it is probable that increasing the likelihood of unequal mutual

inhibition w ill help. Thus, border contrast can help emphasize a bright center. However, it can also help distort a learner's percep­ tion. The least likelihood of distortion would occur in a picture which uses gradual changes in contrast. (Scientific American, 1966, pp. 212—14)

The rebound phenomenon i s excessive a c tiv ity a fter a release from in h ib itio n . I f the dim receptors inhibited by mutual in h ibition are released by removing the bright stimulus, the dim receptors will fire excessively for a while. The implications of this phenomenon for communications designers are that if a bright area of the stimulus is removed, concentration w ill be focused on the remaining dim areas for a while. Introducing other stimuli too soon could cause response com­ petition or interference with learning. Research is needed on the speed with which mutual inhibition can be affected when substituting one bright area for another. Can this be done quickly enough to pre­ vent the rebound effect? (Teitelbaum, 1967, p. 27)

Habituation effects are the result of adaption to sustained stimuli. We need to resolve the habituation effects-redundancy 104

criteria dilemma. At what point does redundancy start interfering with

learning efficiency by causing habituation? Habituation refers to the

effect of decreased sensitivity due to the repetitiveness of the signal.

Habituation does not necessarily mean that there is no longer

any sensitivity to the signal. It simply means that neurophysiological

mechanisms act to suppress th e signal p a r tia lly , i f not com pletely,

after one becomes used to a signal. A certain amount of accommodation,

or adaptation, always takes place when a receptor cell is exposed to a sustained stimulus. (Scientific American, 1966, p. 208)

The implication of this inhibition phenomenon which is impor­ tant for communications design is that to continuously command the attention necessary for efficient learning, the monotony which results in habituation must be avoided. Varied repetition, or repetition with novelty, is one means of avoiding monotony yet including redundancy.

Another implication is that a signal which one hopes w ill remain in consciousness but not command full attention can be maintained at a lower level by continuing that signal after habituation. If the stim­ ulus is converted through conditioning into a signal of biological importance (such as a signal associated with food), habituation may be avoided. (Hilgard and Bower, 1966, p. 443)

The Role of the Reticular Formation

The in h ib itio n and excitation phenomenon just described oper­ ate primarily at the level of the sense receptor cells. There is a secondary mechanism which controls in h ib ition and fa c ilita tio n more generally. This is the reticular formation which controls a mental set for inhibition or facilitation of nerve impulse transmission. 105

The reticular formation is a system of nerve cells extending

from the base of the brain to the forebrain. (Foulkes, 1966, p. 253)

The reticu la r formation i s the brain's mechanism for the control of attention. It is composed of an intricate system of interlacing nerve

cells and nerve fibers which go in all directions.

There is extensive branching of cells in the reticular forma­ tion. (Scientific American, 1966, p. 238) This system of nerve fibers forms the central core of the brain stem and extends from the upper part of the spinal cord to the thalamus and hypothalamus, which com­ prise the diencephalon portion of the brain. Through this tiny (no bigger than your little finger), centralized nerve network pass mes­ sages going from the ascending sensory tracts (nerve bundles) spinal cord to the brain and messages going from the brain to the nerves in the descending tracts of the spinal cord. Moreover, messages go from some sense organ systems directly to the reticular formation and from there they are passed to the brain. Messages from the brain also travel directly back to the sense organs such as the eye or ear via the reticular formation. The reticular formation has been called the "central pool" for sensory impulses. (Krech and Crutchfield, 1958, p. 171)

The reticu lar formation i s divided in to an upper and a lower area. This division gives it a shape much like an hourglass except that the top bulb of the glass is longer than the bottom bulb. The upper area seems to be used for facilitating the conduction of nerve impulses and the lower area for inhibiting the conduction of nerve impulses. 106

The Reticular Activating System

Because the reticular formation seems to function as an atten­

tion activating mechanism it has been named the reticular activating

system (RAS). (S c ie n tific American, 1966, pp. 233, 236) This a c ti­

vating system is represented in Figure 16.

Key:

ascending or descending paths of nerve impulses (only a few o f these paths are shown)

reticular formation

Mass of projection %Tibers for diffusing

Impulses.-t=3- Facilitatofi

Inhibitor -----

Sensory Impulses

Fig. 16.—The Sensory Pool

(Based on drawings and information presented in Scientific American, 1966, pp. 236, 342; Kimber, et a l . , 1966, p. 278; and Krech and Crutchfield, 1958, p. 171.) 107

To the conceptual communications expert the RAS (reticular

activating system) should be seen as a means for focusing attention,

for establishing a mental state which facilitates learning.

What happens in this system is that incoming sensory signals

are diverted to the reticular formation. The RAS then arouses the

brain to attentiveness by sending out impulses so that the entire cor­

tex is sprayed with general signals. Because it has been awakened the

brain can "hear" the sp e cific sensory sig n a l. However, the RAS lea m s

to be selective to stimuli. It learns to discriminate between those

that are important to attend to and those that are unimportant. Con­

sequently, instead of arousing the brain the RAS may inhibit the sig­

nals and leave the cortex unaroused or only slightly aroused. The

cortex sends descending motor and sensory impulses through the RAS

which regulates these impulses, again by facilitating or inhibiting

them, so that a controlled response occurs. The RAS is responsible

for maintaining muscle tone and for sensitizing muscles.

The RAS is stimulated by impulses from the cortex, as well as

by sensory impulses. In fact, it is the RAS which integrates the spe­

cific sensory signal's effect on the cortex with the state of wakeful­

ness so that an alert state results. The alert state (that brain wave

pattern between the relaxed and excited state patterns) seems to depend

on the interplay between the cortex and the RAS. For unless the RAS

stimulates the cortex, the brain cannot function. The signals may be transmitted to the brain, but they cannot be "heard." Yet when the

RAS functions without cortical impulses, consciousness is not possible.

A person can remain awake, but he is helpless. He cannot carry on higher mental processes without both the RAS and the cortex functioning. 108

An injured reticular formation w ill cause a person to lapse into coma

and eventually die. (Scientific American, 1966, pp. 232-38)

Brain Wave Patterns

The brain runs on tiny electrical currents produced by chemical

reactions. The voltages change with different states of mind, like con­

centration or relaxation. An electroencephalograph (EEC) can measure

these changes. A study conducted by C. A. Stewart and I . MacFarlane

Smith in d icates that although far from being adequate at the moment,

the use of the electroencephalograph may, in time, provide a suitably

objective method of assessing the strength of imagery. (Stewart and

MacFarlane Smith, 1959)

We know that the alpha pattern shown by an EEC indicates that

the reticular formation has aroused the brain but signals to and from

the cortex have not yet been transmitted. This alpha wave pattern is

synchronous (impulse transmission occurs at an even rhythm) and is pro­

duced by waves that occur at a rate of about ten per second. When the waves occur at a faster desynchronized rate, we have beta rhythms char­

acteristic of mental or motor activity. When the waves occur at a

slower and desynchronized rate we have the delta rhythms characteris­ tic of sleep. The deeper the troughs between the waves the deeper the

sleep . The fa ster the frequency with which the waves occur the more

excited the mental state is.

These brain wave patterns can be visualized as follows: 109

EXCITED

ALERT (THINKING) (BETA WAVE)

RELAXED (ATTENTIVE) (ALPHA WAVE)

DROWSY

ASLEEP (DELTA WAVE)

Fig. 17.—Brain Wave Patterns Indicative of Mental States

(Based on drawings and information presented in Wilson, 1964, p. 174; Krech and Crutchfield, 1958, p. 485; Taylor,'1965, p. 216; and Jasper and Shagass, 1941, pp. 373-88.)

The reader w ill observe that thinking depresses the alpha wave.

This makes sense when you remember that the alpha wave represents the

spontaneous and synchronized discharge of thousands of cortical cells.

The wave w ill be maximally regular and amplified when the cortex is

free from neural signals originating externally. External neural im­ pulses disturb or desynchronize the rhythm of the resting brain. The 110

depression of the signal is probably due to the activation of some cells

and the inhibition of others. Because attention would be focused it ac­

crues that more inhibition than excitation would have to occur. (Krech

and C rutchfield, 1958 , p. 486)

Dr. Jan Berkhout of the University of Southern California Brain

Research Institute has been interested in the brain wave patterns asso­

ciated with different types of thinking. His experimental work has

been on brain electricity and perception. Dr. Berkhout started with the hypothesis that brain waves are characteristic of levels of alert­ ness or awareness ranging from coma to hyperactivity. He believes that whatever success he has had in predicting behavior is based on assessing minute changes in these levels as the subject is exposed to various stimuli and changes in experimental conditions.

For example, an EEC w ill be taken as a subject selects which of six circles is different from the other circles. This is a percep­ tual, visual discrimination—at the most a concept identification task.

It is not a concept formation task. It does not, therefore, consti­ tute an evaluation of the inductively or deductively formed elements of thought as they relate to brain activity patterns.

Dr. Berkhout's insights stop entirely at the level of percep­ tion (and by extension, recognition), and are not necessarily appli­ cable to the complex processes of concept formation. Nevertheless,

Berkhout's brain wave pattern analyses are a powerful tool for pre­ dicting patterns of conceptual behavior.

Experiments using the technique have already indicated that an aroused (alert) EEC pattern is a prerequisite for correct symbol matching. Berkhout speculates th at symbol matching requires I l l

perception of symbolic or structural characteristics not just brightness

discrimination. Symbol matching necessitates an aroused organization of

neural responses in order for correct performance to occur. Memory of a

patterned stimulus seems to be incompatible with much delta activity

shown in the EEG. It is incompatible with much delta activity because

external neural impulses desynchronize the rhythm of the brain waves

and depress the brain wave. The depression of the brain wave is prob­

ably due to the activation of some cells and the inhibition of others.

Memory of a patterned stimulus would necessitate much inhibition and

concentration. Concentration produces an aroused organization of neural responses incompatible with the freely associative thought patterns (dreaming) of delta brain waves. Delta activity does not seem to interfere with simple discrimination responses. (Berkhout,

Adey and Campeau, 1969)

Dr. Berkhout has commented in a le tte r to th is w riter that if his studies imply anything at all about the communication of con­ cepts, they indicate:

Most communications are attempted when the recipient is less than optimally organized to receive them, and that the con­ cepts subsequently formed are equally less than optimally or­ ganized, albeit firmly learned. (Berkhout, April 24, 1969)

If Berkhout's conclusions are correct, we may be able to start to analyze how we establish mental states suitable for conceptualiza­ tion. At the University of California Medical Center, Dr. Joe Kamiya is teaching subjects to control their own brain waves. A light and a tone get larger as a subject’s particular brain wave pattern gets larger. The tone intensity and light intensity get smaller as the brain wave pattern gets smaller. The subject is directed to try to find ways to control h is brain wave pattern. By using lig h t and 112

tone signals as feedback, the subject leams how alpha waves "feel."

Dr. Kamiya says that i t takes from one to twenty t r ia ls to

teach someone to produce alpha waves on demand. One subject reported

that she produced alpha waves by relaxing, clearing her mind of images

and pretending she is "leaning on a lever." The harder she leans, the

more alpha waves she gets. She turns the alpha wave off by thinking of a concrete image lik e a door knob. (Towers, 1967, p. 7; Kamiya, 1968;

S p ilker, Kamiya, Callaway and Yeager, 1969) Because Dr. Jan

Berkhout's research suggests beta not alpha waves are necessary for conceptualization to occur, Kamiya's research suggests that concrete imagery may be necessary for conceptual thoughts beyond the simple recognition stage. The alpha pattern changes when attention is di­ rected to a specific pattern of interest (Taylor, 1965, p. 216), just as it seems to change when learning is occurring.

H. Masper and C. Shagass (1941) (in a conditioned response experiment done at McGill University) demonstrated that the alpha pattern changes during learning. (Krech and Crutchfield, 1958, p. 487)

A fter several sound stim uli were presented and brain wave taken, a lig h t stim ulus was presented. For a few seconds the sound and lig h t stimuli overlapped. The brain waves were recoded from the occipital

(visual) area of the brain only. Because of this the sound stimuli at first produced no change in the alpha pattern. However, after the lig h t stim u li was introduced the subj ect learned to expect a lig h t wave to follow. As a result changes in the alpha pattern occurred with the sound stim u li too.

One key unanswered question is : How does the RAS s e le c t what to facilitate and what to inhibit? There are probably several answers 113

to the question of why the RAS arouses instead of inhibits attention.

Experimental evidence suggests that an alert brain wave pattern (block­

ing of alpha or relaxed wave pattern, continuing BEG desynchronization)

is maintained when novelty, surprisingness, incongruity or complexity

are present in the stimulus. (Berlyne, 1965, p. 252)

When we ask why the reticular formation arouses the brain for

some stimuli and not for others, we also raise the question of the re­

lation of motivation to the RAS. Does the RAS respond to motivation?

Does it create a motivated state? Does it both respond to motivation

and create motivation?

Motivation is a concept constructed to describe specific

facets of human behavior. Is it the psychological correlate of the

physiological concept of the reticular formation? The answer is still

not clear. Possibly impulses from the cortex keep the RAS "primed" so

that the nerve pathways for certain stimuli are open before the stim­

uli are transmitted. It is possible that when motivation is present

transmission of a message is facilitated by the RAS and when motiva­

tion is not present the transmission is inhibited by the RAS.

Berlyne thinks that while directed thinking can be initiated

and guided by other basic motivations—such as reinforcements like

rewards and incentives, directions from external stimuli and drive

for activity—it is also dependent on an exploratory behavior moti­ vated by conceptual conflict. Berlyne further believes that most,

if not a ll, instances of novelty affecting human adults involve con­

flict. To Berlyne conceptual conflict is conflict between incom­ patible symbolic responses such as beliefs, attitudes, thoughts and ideas. Such conflict will exist when one response pattern is 114

associated with the inhibition of the other. Some common types of con­

ceptual conflict identified by Berlyne are doubt, perplexity, contradic­

tion, conceptual (attribute) incongruity, confusion, irrelevance. He

identifies several ways of relieving conceptual conflict: disequaliza-

tion, of competing responses’ strength, swamping of one response by in­

troduction of new responses, conciliation or reduction of degree of

incompatibility and suppression of thought.

Several similar theories of motivation have been offered. L.

Festinger has presented the theory of "cognitive dissonance." R. P.

Abelson and M. J . Rosenberg have developed a theory of "cognitive

imbalance." (Berlyne, 1965, pp. 19, 236-75) Conceptual conflict, cog­

nitive dissonance, cognitive imbalance, epistemic curiosity—all these

terms describe a kind of cognitive drive used to explain the motivation

of thought. While cognitive drive* may not explain every cause of in­

teraction between motivation and the RAS, it probably explains much of

i t .

Another fertile area for research is that of the effect of air

pollutants on the RAS and consequently on learning. Do pollutants such

as carbon monoxide, ozone and lead interfere with brain functioning by

impairing the functioning of the thalamus, the reticular formation or

the hypothalamus? Do they change the brain wave patterns? Research

done in Cincinnati by the National Air Pollution Control Administration

*Cognitive drive is a need for resolving conceptual conflict or conceptual curiosity. Conceptual conflict is conflict between in­ compatible symbolic response patterns (beliefs, attitudes, ideas). Conceptual curiosity is produced by conceptual conflict or by lack of knowledge and understanding. It is expressed in a desire to add new symbolic response patterns to one’s store of concepts. (Berlyne, 1965, p. 255) 115

has found that carbon monoxide can present the proper processing of

sensory information by keeping information from getting through.

(Environmental Science and Technology, 1968, pp. 731-33)

The Role of Symbolic Responses

A major research problem in the area of conceptual communica­

tion is the question of the genesis of symbolic responses. We know

something of the physiological correlates of thought. We know that

mental phenomena such as images and words are used in thought. What

we do not understand is exactly how the nerve impulses which are

transmitted come to be translated into symbolic responses, such as

words and images.

Internal processing is carried on by means of symbolic re­

sponses. These symbolic responses are always images. An image is

an internal representation of sense data. As images they may be

verbalizations or visualizations, or they may take other forms. What­

ever form they take, they must take the form of muscular activity at

some point in recoding.

The neurophysiology of imagery is revealed by studies of muscle tension, brain wave patterns and seeing. As noted earlier in th is chapter, r etin a l patterns seem to be represented by coded combi­ nations of cell activity. (Gregory, 1966, pp. 70-71) It is not un­ reasonable to speculate that other sense receptors send information which is recorded according to other coded combinations of cell a c tiv ity .

Two kinds of muscular activity seem to be related to thinking and the production of images. These are an increase in general 116

muscular tension which involves the whole body and an increase in the

localized muscular tension related to the imaginai content. Some degree

of general tension is always present during thinking. £• Jacobsen

(1938) demonstrated this by recording the muscle tension of subjects

when they were relaxed and when they were thinking. When completely

relaxed with minimal muscle tension, subjects did not fall asleep, but

their imagery and thinking processes dwindled and disappeared. Brain

wave pattern stud ies substantiate th is .

Jacobsen also studied localized muscle tension. He found that the content of the image was reflected in the specific pattern of mus­

cular tensions. If a person imagines he is pumping a tire, the muscles

of his arm show a rhythmic pattern. When a person imagines looking at a skyscraper, the activity-pattern of the muscles that move the eye is practically identical with the pattern for looking upward. Research by W. A. Shaw (1940) has found that the more vividly an image is ex­ perienced , the greater is the localized muscular tension in the related muscle area. The activity of the muscle of the arm was found to in­ crease as imagined weight increased. These studies of muscular tension used the oscillograph to measure muscular a c tiv ity .

The physiological correlates of verbal imagery as in speech symbols are found in different brain areas.

The basis of language is a series of memory pictures. The mind must know and reca ll the names of things in order to men­ tio n them; i t must have seen or heard things in order to de­ scribe them and to have learned the words to express these ideas. Even this is not enough- All these factors must work together under the influence of the center for articulate speech which . . . is in close connection with those for the larynx, tongue and muscles of the face. Injury to these areas results in some form of inability to speak (aphasia), to write (agraphia), or to understand spoken words (word deafness) or w ritten words (word blindness). It i s customary, th erefore. 117

to distinguish two types of aphasia, i.e ., motor and sensory. By motor aphasia is meant the condition of those who are unable to speak although there is no paralysis of the muscles of artic­ ulation. By sensory aphasia is meant the condition of those who are unable to understand written, printed, or spoken symbols of words, although the sense of vision and that of hearing are un­ impaired . These centers are really memory centers, and aphasia is due to lo ss o f memory of words, meaning o f words seen or heard or formation of letters. (Kimber et a l., 1966, pp. 272, 273)

The areas ju st described can be mapped as follow s :

Choice of Words Used in Expression of Thought

Motor Speech Broca's Area (one—on left side only

Choice of Thoughts to be Expressed

Fig. 1 8 .—Speech Areas

(Based on drawings presented by Kimber ^ al*, 1966, p. 272; Taylor, 1965, p. 205; McNaught and Callender, 1965, p. 206.)

There are probably several areas serving each type of imagery, just as there are several areas serving verbal imagery.

To solve the riddle of the physiological processes correlated with speech and other forms of verbal imagery we must know far more than we do about the association areas. These areas are made up of association fibers which connect motor and sensory areas. These areas seem to function in sensory and motor elaboration, in elaboration of 118

conscious thought (reasoning and problem solving), in visual and audi­

tory recollections and in perceptual judgment. The association areas are

represented in Figure 19 by the white areas.

Posterior Association Areas Anterior Association Areas

Temporal Lobe, Memory A ssociation

Fig. 19.—Association Areas

(Based on drawings presented by Krech and Crutchfield, 1958, p. 498; Kimber et a l., 1966, pp. 273, 273; and Taylor, 1965, p. 205.)

As higher animals such as man evolve, their body increasingly

develops areas with specialized functions. The greater size of the

association areas in man's brain is one evidence of this. The asso­

cia tio n s areas surrounding the motor and sensory areas seem to be 119

more developed in animals capable of acquiring habits and conditioned

reflexes. While few definite functions have been localized for the

association areas, it is thought that these areas are plastic and

reg iste r th e e ffe c ts of individual experience. (Kimber et a l . , 1966,

p. 273) Researchers in human physiology continue to debate over the

extent to which specificity of function exists in the association

areas•

While all imagery allows for abstraction, for coding and

shuttling of messages, verbal imagery can serve different functions than can nonverbal imagery. Nonverbal imagery is any imagery not rep­

resented in the form of words or subvocal speech. Generally, nonver­ bal imagery serves thought that is freely associative, intended only for private consumption or memory and which is more concrete (more closely related to sense experiences) than verbal thought. Verbal imagery serves logical thought (reasoning). Verbal imagery is often less concrete (less closely related to sense experience) than nonverbal imagery. Verbal imagery is often intended for public consumption or at least for a rehearsal of a message for public consumption.

Harriet Podell describes such functional differences as differ­ ences in learning set. Verbal imagery is more likely to occur with an intentional set. Nonverbal imagery is more likely to occur with an in­ cidental or nonintentional set. (Podell, 1958, 1963) It should be re­ membered that words can be freely associated too. Whereas the purpose of verbal-logical thought is convergent, "problem-solvingly" creative, the purpose of associative-imaginal thought is divergent, suggestively creative. By associating nonverbal imagery with verbal labels, the thinker is better able to manipulate his imagery. 120

It can be speculated that verbal and nonverbal imagery are in­

tegrated somehow by brain functioning, just as speech is integrated.

Activation of localized muscular tension and cell activity in some

areas, such as the eye and visual areas may cause activity in related

muscular areas, such as the ear and hearing areas, and may also acti­

vate cells in the motor speech and face areas and in the memory pat­

tern area of the temporal lobe according to a code. Seeing "green"

can thus be associated with hearing green and later with pronouncing

green in establishing its meaning. (Hess, 1964, p. 23) The problem of

research is to find ways to study the interaction of these areas. The

role of symbolic, imaginai responses seems to be to generate meaning

or responses to messages as well as to code information for transmis­

sion or storage.

The Role of Stored Responses

We may speculate that the anterior and posterior association areas function as integrators of sensory and motor responses because fibers in these areas elaborate motor or sensory responses with other motor and sensory responses. Another association area functions as a storer of past associations. This is the temporal lobe at the base of the cerebral cortex. Injuries to this lobe cause various kinds of memory disturbance.

Again we don’t know yet how this area functions in conjunction with the other association areas and the motor and sensory areas.

Neurologists are sure though that it functions as a long term storer of experience, or at least of verbal imagery. The other association areas probably are utilized as short term storers of experience. If 121

the temporal lobe of the brain is removed long term, not short term,

memory seems to be affected. (Scientific American, 1966, pp. 119, 126)

We know that memory changes occur in nerve cells (and possibly

in other cells) throughout the body not just in the cells of the brain.

Research findings seem to point to the conclusion that a bit of infor­

mation when received by a nerve cell can cause changes in the RNA

(ribonucleic acid) molecule of the neutron. One evidence of these

changes is that the concentration of RNA in neural cells increases when they are repetitively stimulated. If these changes are dupli­

cated when another b it o f information is received, the c e ll remembers.

The number o f d ifferen t changes possible is astronomically immense.

Each different arrangement produces a different RNA molecule, capable

of synthesizing a distinct protein molecule. (Hilgard and Bower, 1966, pp. 464-65)

I t is th is d is tin c t RNA/protein combination which seems to be matched when a c e ll remembers. The concentration of RNA in neural cells increases when they are repetitively stimulated. Experiments on worms have indicated that RNA causes transfer to occur. (Hilgard and Bower, 1966, pp. 465-67) RNA occurs in other cells of the body but only the nerve cells seem to use RNA mainly for memory. Other cells use RNA in growing or in producing protein-rich secretions.

(Asimov, 1963, p. 339) The RNA/protein synthesis may cause a change in the molecules of the nerve and bulbs, sim ilar to the change caused by the production of antibodies.

But, the nature o f any structural change which occurs as a result of memory is still hypothetical. Some evidence indicates that another sort of change occurs at the synapse in the nerve endings or 122

nerve bulbs• These nerve bulbs seem to grow twigs or new fibers•

Sometimes these tw ig s, o ff the endings, d ie . They may or may not be

replaced with new twigs. Perhaps the RNA changes are also related to

growth in the nerve cell. Perhaps they influence the growth of twig­

lik e fib ers from nerve endings. Whatever the cause, somehow, i t is

theorized, a nerve fiber comes to sprout new twigs near its termina­

tion and thus comes to increase its effective contact with another

cell. The neurons of older people have been found to branch more ex­

tensively than those of young people.

One reason offered for the poor memory of some old people for

recent events is the inability of their nerves to grow more twigs or

to accommodate more connections. If this is so, perhaps we can pre­

vent th is with drugs, perhaps by using drugs which a ffe c t RNA/protein

synthesis. Another hypothesis which has been offered to explain

structural change related to memory is the theory of continuous ac­

tivity or recirculating of the memory trace. The continuous activity

or dynamic theory o f the memory trace asks whether memory i s dependent

on some continuing activity instead of on some structural alteration

left behind as a static residue.

A dynamic memory trace i s not as p lau sible an explanation as

a static trace because when memory is stopped by shock or freezing it

doesn't seem to disappear. Another problem is that recirculating

nerve loops would consume much metabolic energy. Furthermore, memo­

r ies would have to share loops because there are more memories than there would be loops available. (Scientific American, 1966, pp. 126-31)

Seme recirculating or dynamic activity may be necessary for fixating memory traces, however. This possibility raises the question of 123

whether the nature of the structural change for long-term memory is

different from that for short-term memory.

What is short-term memory and how is it related to long-term

memory? Short-term memory is temporary. When the experience giving

rise to the cell activity stops, the activity and the memory die.

Short term storage is limited by forgetting due to competition from

other responses and to spontaneous decay. Because short-term memory

is so susceptible to decay and long-term memory is not, investigators

suspect that d ifferen t mechanisms are involved. Exactly how short­ term memories become fixated in long-term memory is not known. Some

clues are given by the factors which have been found to affect memory.

Time factors have been found to be very important in short term retention and in learning. Some time elapses between the time a memory trace origin ates and the time i t becomes learned or fixated in long-term memory. The process of fixing continues for at least an hour. (Scientific American, 1966, pp. 119-26) The reason it takes time to fix a memory trace may be that impulses must circulate over their pathways many times before leaving behind an enduring memory trace. Some support for this position comes from experiments which found the long-term memory unlike short-term memory, was r ela tiv ely unaffected by electric shock, incisions and brain cooling. Youthful or repeated experiences seem to be most firmly fixed. These are the experiences least apt to disappear from memory during senility.

Another factor is the characteristics of the experience to be remembered. Vivid experiences are retained lon gest. (S c ie n tific

American, 1966, p. 126) Familiar experiences are retained more easily. 124

This may be one reason why sensory deprivation limits intelligence.

Some emotional experiences may be inhibited or blocked from memory.

Forgetting and coding are two related factors which affect the

storage of symbolic responses. Some period of forgetting seems to be

necessary for retention. Perhaps this is because cluttering detail

must be forgotten . Rapid forgettin g can be ascribed to short-term

memory and increasing r e c a ll to long-term memory. Coding appears to be one reason for the increase in recall associated with long term retention. Coding is necessary because there are storage limitations.

Ralph Gerard notes that:

Guesses have been made as to how many items may be accumu­ lated in memory over a lifetim e. Some tests of perception sug­ gest that each tenth of a second is a single "frame" of expe­ rience for the human brain. In that tenth of a second it can receive perhaps a thousand units of information, called bits. In seventy years, not allowing for any reception during sleep, some fifteen trillion bits might pour into the brain and per­ haps be stored there. Since this number is more than one thousand times larger than the total of nerve cells, the prob­ lem of storage is not exactly simple. (Scientific American, 1966, p. 126)

If a memory pattern is transmitted redundantly, as is suspected, this storage problem is compounded. Coding solves the problem by in­ creasing storage capacity. Groups of words used to represent larger numbers o f images could give space for many more item s. The number of chunks in the message has been found to be a factor in recall. When the number of word pairs presented for memorization is increased long­ term memory is diminished more than short-term memory. (Scientific

American, 1966, pp. 126-31, 141-46)

One way of coding for memory is with a cognitive map. Animals which remember with a cognitive map, instead of a conditioned reflex, are more adaptable. Cognitive map is used here to mean the learning of 125

expected spatial relationships» Another way to code is by labeling with

words. In reproducing coded material memory has been found to be recon­

structive rather than reduplicative. This means that memory changes

form. The effects of verbal labels on memory for form have been studied.

D. T. Herman, R. H. Lawless and R. W. Marshall (1957) found that labels have more influence if subjects are not told they will be expected to draw the figure. When subjects expect to have to draw the figure they neglect verbal labels and concentrate on form aspects.

Another finding is that the more recently applied the label the greater the influence it is likely to have. After a period of time, however, that label exerts less and less influence while earlier asso­ ciations exert more and more influence. Thus the giving of a label results in the subject reproducing a figure which is an average of the associations he has had with the label and figure.

L. Postman (1954) notes that the poorer the memory skills the subject enters with, the greater the extent to which he is likely to depend on habitual associations when producing a figu re. Postman in ­ vestigated the way the learning of a code for memory affected memory.

He found subjects who learned the code from which the stimulus pairs were constructed remembered the pairs better than control subjects only after a five week interval. Until then the code learning group's performance was inferior. The implication is that the memory of a specific figure is forgotten more rapidly than the memory of the code.

Hence the code comes to determine the nature of the reproduction more and more and as time passes. (Postman, 1964,.pp. 402-65)

Knowledge of the electro-chem ical nature o f memory promises to lead to d iscoveries of how drugs can improve memory. Already we know 126

that some nervous system stimulants may improve long-term memory by more

than one-third. (Blochman, 1969) Other drugs can restore short-term

memory and improve the memory of the very old. In the future educa­

tional designers may be able to improve memory skills of poor learners

with drugs when retention of the subject matter is essential. The need

to be cautious in adopting such measures is indicated by the finding

that drugs have unknown side effects. Dr. Bernard Agranoff found that

th e drug pyromycin can erase long-term memory. (Towers, 1967, p. 3;

Blochman, 1969)

Dr. Samuel Bogoch of Boston has even suggested th at i f some

forms of sugar proteins can be synthetically duplicated, it may be

possible to build many more switches into one brain. From research

on pigeons Dr. Bogoch found th at brain sugars increase ninefold during

the first ten minutes of training. Much of this increase is related

to the increase in alertness; however, some of it is closely associated with learning. Months after their training, these protein sugars asso­

ciated with learning increase. The better the learner the pigeon is, the greater the residue of these proteins in the brain. (McBroom, 1968)

Granting that symbolic responses are stored, what is the func­ tion of these stored responses? What role do they play in conceptuali­ zation? In the first place, because they are stored, they furnish in­ tern a l stim uli which can be matched with incoming stim uli or other stored responses, in fact which can be used for thought even when sen­ sory deprivation occurs. Stored symbolic responses can thus verify, change, provide or create meaning. In the second place, some stored responses are learned responses. As such they can be reused without re-experiencing. In the third place, as noted on page 124, short-term 127

retention of stored responses allows for forgettin g which seems to be

necessary for long term recall. Finally, stored symbolic responses

are codings of codings; as such they increase the capacity for thought.

We w ill next explore some of the implications of the recoding,

reticular and storage processes for the media designer.

The Role of Individual Differences

There are individual differences in internal processing due to

maturity, to imaginai ability and to the quality of learning. These

differences are important because differences in internal processing

influence the characteristics of the conceptualization.

The newborn infant has an immature cortex. Although at birth

the cortex has all the neural cells it w ill ever have, changes in

these cells occur as the body grows. These changes include changes

in size and composition of nerve cells and in the length and state of

development of nerve fibers. The changes occur at different rates for

different areas of the cortex. The parts of the brain mature and func­

tion at different rates as shown in Figure 20, p. 128. The motor and

sensory areas mature f ir s t ; the association areas mature la s t. In

Figure 20, the darker the shading the earlier the area matures. The

unshaded areas are the la s t to mature.

The alpha rhythm also develops gradually. (This is the rhythm that indicates an attentive, wakeful state.) For the first three

months there appears to be no uniform pattern. The frequency is slow until the age of one year when it reaches about six per second. The adult rhythm of ten per second frequency is not reached until age ten or twelve. Not only is the cortex of the neonate undeveloped, the 128

Motor Central Fissure Somesthetic- Sensory

Visual

Auditory

Fig. 20.—The development of the cqrtex. (Krech and Crutchfield, 1958, p. 592)

lack of an alpha pattern suggests that his cortical cells may not con­ duct impulses at all. If an infant's "stupidity" is due to this lack

of growth no amount of training w ill enable him to do certain things.

Does this mean that general experiencing w ill not help the child's men­ tal development? The evidence says no. What it means is that certain complex learning abilities cannot be developed until the cortex matures. (Krech and Crutchfield, 1958, pp. 593, 594)

In the light of this information, Jean Piaget's observation that children didn't seem to possess or use imagery until age two is interesting. Piaget makes much of his observation that until the middle of the second year, the child shows no signs of possessing imagery and remains unable to cope with situations in which imagery would be h e lp fu l. An example would be knowing where to look for an 129

object which has disappeared behind a screen. To Piaget images are im­

plicit symbolic responses in nonverbal form. Piaget thus lim its images

to nonverbal responses. Furthermore, by his method of testing for

imagery, he limits imagery to visual imagery.

According to the definitions used in this report and the find­

ings on the maturation of the cortex, the child should be capable of kinesthetic imagery, at least, by the age of one year. The child may not be able to make intelligent verbal or speech responses until the association areas of his cortex mature. Nevertheless, the child is capable of symbolic responses in the form of kinetic imagery at an early age and in the form of visual and aural imagery soon after.

Another interesting finding is that the child seems more likely to have eidetic images than the adult. Eidetic images are particularly vivid, realistic, and detailed images. The "eidetiker" will say that he sees the image; yet he knows the object is not before him. E. R.

Jaensch (1930) tried unsuccessfully to show that eidetic imagery is related to endocrine con stitu tion . (Murphy, 1949, p. 435; Krech and

Crutchfield, 1958, p. 367)

In the writer's opinion, one possible explanation for the greater prevalence of eidetic imagery among children could be that the adult has had to store many more symbolic responses. He has, therefore, developed more abstract coding. This may make it harder for him to decode memory images with extensive concrete detail.

A promising procedure for studying eidetic imagery could be a computer record of brain waves used to diagnose visual activity.

The method is promising because unlike introspective reports it can be used well with babies and children. 130

The method was developed to diagnose vision problems by re­

searchers at the Naval Electronics Laboratory Center in San Diego.

There i s a change in e le c tr ic a l energy, in the range of two to th ree-

millionths of a volt, created by the brain when the subject being

tested sees an object in a sharp or a blurred manner. The brain wave

recordings show these differences. Research is now needed to estab­

lish whether such differences can be recorded when imagery but not the

object is present. (Pearson, 1968 , p. 16)

Internal processing limitations are due not only to maturity; there can also be imaginai differences due to personality, to level

of intelligence or to practice in imagery. Leo Radaker has studied the visual imagery of mentally retarded children. He found that al­ though these children had poor imagery when originally tested, as a result of training in visual imagery there was an improvement of imagery in a ll sen ses. This improvement occurred after only two sessio n s. Moreover, the improvement in imagery transferred to word learning and helped improve sp e llin g . The only exceptions to general improvement were in the learning o f more abstract words and imagery.

Radaker's research suggests that practice in imaging w ill increase a b ility to create images and w ill help learners recognize words as long as th eir meaning is not too abstract. (Radaker, 1961)

K. Start and A. Richardson (1964) have studied the relation­ ship between the ability to produce imagery and the ability to learn from mental practice. The characteristics of imagers studied were v iv id n ess, modality and autonomy. Start and Richardson found that vivid autonomous imagery was a handicap in the learning of physical skills. However, neither vividness or controllability of imagery was 131

able to separately predict performance scores for physical skills

learned by mental practice. The controllability of imagery seems to

be the more significant variable and the interaction of it with vivid­

ness seems to be most inform ative. By autonomous imagery, they meant

imagery which does not easily yield to other imagery. This is imagery

which is harder for the imager to control. It becomes autonomous in

relation to the imager. Emotionally related to prejudicial imagery

often becomes autonomous. As a resu lt of th eir in v estig a tio n s, Start

and Richardson feel that controllability of imagery may be part of a

general ability to ignore extraneous vivid imagery. (Start and Richard­

son, 1964) Start and Richardson based their work on the prior investi­

gation of Rosemary Gordon into "stereotypy of Imagery and Belief as an

Ego Defense" (1962).

Gordon studied the relationship between controllability of

imagery and the rigidity with which beliefs are held. First she tried to establish whether subjects could alter imagery. To do this she re­ quired them to picture one image and then directed them to picture another image. Her test for autonomy of imagery measures the ease with which subjects can change th eir imagery. She found that a b ility at manipulating imagery was related to the formation of stereotypes.

Those with the most control over their imagery—those who could change images most easily—were found, not unexpectedly, to be less likely to adopt stereotyped or prejudicial beliefs. Those with the most autono­ mous imagery were also those most likely to hold stereotyped beliefs.

(Gordon, 1962)

Esther Shaw’s doctoral dissertation aimed to determine how modality was related to occupation and tried to identify some other 132

imaginai factors influencing verbal expression. Her method of col­

lecting data involved introspective reports and is, therefore, open to

criticism.*

Nevertheless, Shaw's conclusions present areas for further re­

search. Shaw found that an in d ivid u al's imagery can be described as

more or less verbal or visual, as flexible (many habited) or inflexible

(bound to one form), as more or le ss flu e n t. The measure for fluency

of imagery is similar to the construct "controllability" of imagery.

Shaw also found that imagery differs in amount of detail, clearness

and completeness of picture. These variables are linked with the

measure of "vividness" which i s used today. She found that concrete

imagery increased the reaction time preceding verbal reports of imagery

in response to a word. It seemed to retard verbal expression. Shaw

concluded further that vagueness of preceding imagery can cause poor thinking and that the type of imagery used will influence the style of expression. For example, too much abstract imagery without a concrete basis will impair the writing of literature. (Shaw, 1908)

One group of investigators has been trying to establish a re­ lationship between electroencephalograms or "brain wave patterns" and mental traits. A person's brain waves do show individuality and are con sisten t from day to day. Alpha frequency has not been found to

^Subjects report by introspection the associations which come to mind when presented with a stimulus. One asset of this method is that it allows one to study internal phenomenon and processes. Another asset is that it is a relatively easy and inexpensive method. The weaknesses of the method are many. Responses depend on the verbal skill of the reporter. Time limitations may prevent detailed reports. The process of reporting may add meaning when there is none. On the other hand, there is always the danger of the interpreter missing the significance of the reports. Furthermore, it is hard to interpret subjective reports objectively. 133

correlate with adult intelligence,but some relationships with person­

ality have been indicated. Unfortunately these latter findings are not

adequately reported to be verifiable or acceptable. They indicate that

passive individuals had high alpha indices. Frustrated, hostile, ag­

gressive women had mixed or irregular records. Women with strong mas­

culine or maternal drives had low alpha indices.

W. G. Walter and his co-worker (1953) have found differences

based on the way a person's EEC record changes with stimulation.

Walter states that some persons show no alpha rhythm at anytime. These

persons turned out to be people who thought by means of visual imagery.

Persons who tended toward auditory or kinesthetic rather than visual

imagery were found to be of an opposite type. In these persons alpha

rhythm persists even when the eyes are open. In addition, researchers have found alpha, beta or theta waves predominate in some persons.

(Tyler, 1956, pp. 434-36) If relationships between brain wave patterns,

imagery and personality can be found they may allow us to speculate about and study the role of the reticular formation in influencing con­ ceptual style.

Another interesting issue is whether some people are lacking in amount of imagery and if so, the influence of this lack on their conceptual ability. Research on dreaming has found that even people who claim to be nondreamers experience the imaginai activity called dreaming during sleep. They don't remember their dreams because they fell into a deep sleep early and finished dreaming long before awakening or because they have personalities which tend to repress dreams or because they are persons without much self-awareness (sub­ jectivity, interest in analyzing oneself). 134

That self-la b eled nondreamers do dream has been documented by

EEC pattern records. (Foulkes, 1966, pp. 46-60) This finding suggests

that much imagery during sleep may be present but be unreported. It

suggests too that introspective imaginai reports reflect personality

characteristics to a greater extent than we realize. Perhaps some per­

sonalities are more repressive and therefore report less imagery than

they actually experience. All persons may be repressive of imagery to

some extent when reporting it because they know they do not have time

to report all their imagery before it disappears unless they limit it.

E. W. Taylor reports that flow of response in word fluency

tasks and flow of response in ideational fluency are not the same

basic process. "Word fluency (W) is defined as a facility in producing

single, isolated words that contain one or more formal restrictions without reference to the meaning of the words. Ideational fluency (F)

is described as a facility of expressing ideas by the use of words and their meanings." (Taylor, 1947, p. 239) By formal restrictions on words Taylor means, for example, directions calling for words ending with certain letters or including certain prefixes or suffixes. Taylor concludes that fluency is complex and includes at le a st two or three factors. (As a third factor he suggests verbal versatility or variety in verbal expression.) We must, therefore, be careful not to assume that our data on imagery are ever complete.

There is another finding on internal processing which is rele­ vant to individual differences. This is the frequently replicated finding that one can know a concept without being able to verbalize it.

Conversely, one can verbalize a concept without really understanding it. (Bourne, 1966, p. 22; Gage, 1963, p. 888) 135

Gertrude Hendrix of the University of Illinois says that pre­ mature verbalization can destroy conceptualization- Hendrix’s work has been done in the teaching of mathematics to children. As a result of her observations she concluded that two distinct, subverbal processes were necessary for concept formation. There seems to be a generaliza­ tion flash followed by a different kind of flash revealed in transfer behavior. This second flash of awareness or eureka experience is necessary for forming a concept that transfers.

Hendrix believes that discovery learning (learning by conscious generalization) yields more transfer than reception learning or induc­ tive learning. She believes further that it is "the intermediate flash of unverbalized awareness that actually accounts for the transfer power."

Important as symbolic formulation must be for verification and organization of knowledge, it is not the key to transfer. That key is a sub-verbal, internal process—something which must hap­ pen to the new organism before i t has any new knowledge to verbalize. (Hendrix, 1947, p. 200)

David p. Ausubel sharply disagrees with her.

. . . language plays an important role in verbalizing or encoding into sentences, the new intuitive or subverbal product (concept or proposition) that emerges from the transform ational operations involved in thinking. Verbalizing subverbal ideas (expressing them verbally in prepositional form as opposed to the later act of naming them) is a refining process that results in their be­ coming more sharply delineated. It is therefore a serious mis­ take to believe that the entire substance of an idea, as well as all of its transfer power, inheres in its subverbal form, as Hendrix asserts (1950). The old philosophical notion that ver­ balization "merely mirrors thought" or clothes it in outer gar­ ments" is charmingly poetic but has little psychological utility or explanatory value today. By means of its significant refining functions, verbalization adds a great deal both to the meaning and transferability of the products of thought, and thus must be considered an integral part of the process of thinking. (Ausubel, 1968 , p. 82) 136

This writer believes that the conflict between the positions of

Ausubel and Hendrix is due to the subject matter and subjects used in

Hendrix's experiments. Gertrude Hendrix's observations and experiments were concerned with the formation of mathematical concepts. She used

children as subjects. Unverbalized awareness seems to be particularly

important in children's formation of mathematical concepts. Children typically have difficulty verbalizing a concept because of their inade­ quate verbal abilities. Mathematics is a unique field because it deals primarily with a nonverbal language that makes elaborate use of cryptic symbols to summarize concepts. The symbols are p recisely de­ fined and the concepts they express are usually related to problem solvin g.

A good mathematics teacher could lead a bright student through a problem to its solution without verbalizing the concepts involved.

Conversely, he could not lead the student through the problem with only verbal expressions of the concept. In contrast to mathematics, concepts in social studies must be explained verbally before an under­ standing of vocabulary can be reached. Social studies teachers would not be hindered as much by lack of a chalkboard as mathematics teachers.

Joseph Lee Wolfe studied the "Effects of Verbalization and

Pretraining on Concept Attainment by Children in Two Mediation Cate­ gories." As a result of his experiment he concluded that overt verbalization facilitates concept attainment. He found that overt verbalization facilitated most when pretraining which pre-establishes a mediating response occurs. When no pretraining occurred the 137

facilitating effects of overt verbalization were weaker. (Wolfe, 1967,

pp. 19, 20, 25)

A key factor in determining whether the concept is both verbal­

ized and understood during internal processing seems to be the moment

at which an attempt to verbalize is made. If one tries to put the con­

cept into verbal form internally and to express this verbalization ex­

ternally before the concept has been completely formed and fixated in

memory, the attempt can destroy the recently formed concept. If the

verbalization is incomplete or incorrect, it is premature and detri­

mental. (Swartz, 1948) A pre-experimental request to verbalize dif­

ferences has also been found to be detrimental to concept formation.

(Rommetveit and Kvale, 1965) The length of the verbalization can de­

termine the complexity of the stimulus object or the difficulty of the

perceptual task. (Glanzer, 1962; Glanzer and Clark, 1964) Presumably,

then, an individual's tendency to reflect and verbalize covertly before

responding would produce differences in internal processing. These

differences would be reflected in the completeness or quality of the

conceptualization.

There are good reasons to believe that individuals differ in

their learning capabilities at least partly because of differences in

experience. We know that animals from a stimulating environment de­ velop larger cortical areas. We also know that animals with a slightly

larger cortex leam maze problems faster than animals with slimmer c o r tic a l areas. (Hilgard and Bower, 1966, p. 464)

The Role o f Media Design

This chapter has reported findings on the role that each of the following plays in the process of conceptualization: recoding. 138 the reticular formation, symbolic responses, stored responses and in­ dividual differences. The findings reported indicate the role that media design can assume in influencing the process of conceptualization.

These implications of the findings for media design are presented below in the form of general principles for influencing the process of con­ ceptualization. More specific principles will be presented in

Chapter VI, "Audiovisual Design."

1. It seems to be necessary for a learner to achieve an alert,

attentive state before learning can occur. The presenta­

tion must motivate if the learner is not already motivated.

(The area of subliminal learning is relatively unexplored.)

(Lewis, 1968)

2. Conceptual conflict (dissonance) can motivate learning.

(Berlyne, 1965, p. 273) Types of conceptual conflict in­

clude doubt ; perplexity, confusion, incongruity, contradic­

tion. A presentation which offers ways to resolve concep­

tual conflict is likely to be attended to.

3. It may be impossible for some conceptual learning to take

place u n til imaginai a b ility i s improved. The communicator

must sometimes develop the internal processes before the

external design can be effective. Or he must design a

presentation to take differences in internal processing

ability into account.

4. One way of improving memory skills is by teaching a code

for abstracting the relevant aspects of a stimulus. 139

5. The communicator must understand the codes a learner uses

for filin g so th at he can correct them i f necessary in the

presentation and feedback»

6. Since the learner cannot usually remember the perception in

complete d e ta il, the communicator can try to influence what

is abstracted. He can do this by pretraining, by cuing, by

the use of advance organizers, by the use of schema.

7. The strength, area and exposure time of the original

stimulus can a ffe c t recoding.

8. A picture which has gradual changes in contrast w ill be

less likely to cause distortion in recoding than a picture

with abrupt strong contrasts.

9. Habituation effects can be avoided if varying repetition

is created by introducing novelty. CHAPTER V

CURRICULUM DESIGN

There are two main ways in which the internal process of con­

ceptualization, in an instructional setting, can be controlled exter­

nally. These are curriculum design and audiovisual design. Curriculum

design can be defined as p rofession al planning for the content and ap­

proach of teaching-learning units and for their place in the school

program. Audiovisual design refers to planning for ways to communi­

cate teaching-learning units. Audiovisual design could also be called

curriculum communication.

If we accept these definitions, we establish the concerns of

curriculum design on a more general level, and the concerns of audio­ visual design on a level of specific application. (The purpose of audiovisual design is to realize the theoretical ideas of curriculum design.) In actuality, however, curriculum design must include audio­ visual design and vice versa. For example, the national science cur­ riculum projects incorporated audiovisual design right from the early stages of planning.

Audiovisual design factors w ill be discussed in detail in

Chapter VI. In this chapter the writer w ill deal with curriculum design as it influences conceptualization. The chapter w ill deal first with the role of the curriculum in providing the experiences basic to conceptualization. Next we w ill consider the attempts to

140 141

build guidance in concept formation skills into the curriculum. Lastly,

we w ill consider the various recent approaches to curriculum design and

how they influence concept learning.

Providing Experiences

By controlling to some extent a student's experiences, curricu­

lum design can a ffect the basis for conceptualization. We know, for

example, that culturally deprived students need a curriculum that pro­

vides for more concrete experience than they may have had at home or

in their circumscribed community life. Their conceptual ability may

be limited until they have such experience. The curriculum, then, has

an important role in determining a student's readiness for conceptuali­

zation. Not only is curriculum design a factor in making conceptuali­

zation possible and meaningful, curriculum design can order experiences

so that conceptualization i s easier and more memorable. For example, the recent curriculum projects try to order experiences so that obser­ vations resulting from these experiences can lead to a generalized conclusion.

Besides providing new and ordered experiences, the curriculum can help by providing rich experiences. Rich or vivid experiences are more lik e ly to be remembered. Edgar Dale has described some character­ istics of rich experiences which can lead to conceptualization:

1. The senses must be strongly involved. 2. There is a quality of novelty. 3. A marked emotional tone may be present. 4. A rich experience is often the culmination or fulfillment of other experiences. 5. A rich experience carries with it a sense of personal achieve­ ment. 6. One rich experience can generate a new experience. (Dale, 1969, p. 72) 142

We need more research on the characteristics of rich experiences.

When is a highly dramatic experience more useful than a less dramatic

one? When is novelty a necessary characteristic? How do differences

in children's needs determine what experiences w ill be rich ones for them?

Guidance in Conceptualization

Another way in which curriculum design can influence concept formation is by providing for guidance in conceptualization. Many of the recent curriculum approaches have guidance in scientific concep­ tualization as one of their aims. We need more evaluative studies of the "learning to leam" aspects of curriculum approaches. More impor­ tant, we should permeate our curriculum approaches with vocabulary development, classification and categorization, schema, logical thought and challenges to the imagination, because all of these stimulate con­ ceptualization. Methods of developing conceptual abilities include developing critical thinking ability, creativity training, vocabulary development and the analysis of concepts.

Critical Thinking

Hilda Taba suggests that the study of thinking is basic to all subjects. Taba emphasizes the potential of the skill of thinking as a way of integrating conceptual learning in many subjects. According to

Taba,

Discriminating thinking, like discriminating taste, is best de­ veloped by comparison. If thinking were stressed in the various subjects and the differences in the processes of interpretation and application according to context were made conscious, com­ parative training in thinking would become a matter of course. Students would experience variations in the rigor and the 143

precision of thinking and would leam discrimination in the use of data, generalizations, and principles according to the de­ grees of their universality. A comparison of the process of proof in geometry and in an article on politics would add greatly to the understanding of what logical proof is all about. (Taba, 1962, pp. 212, 218-20)

A person who cannot see the fallacies in his own and others conceptual­

izin g is at a disadvantage in learning. I t i s hard for him to be

s e le c t iv e .

The Development o f C reativity

This is education for divergent, fluent, imaginative thinking.

Dr. E. Paul Torrance has developed many exercises to encourage crea­

tivity. One of the techniques Dr. Torrance uses often is to present

the child with varied materials and ask him to produce something.

Clearly, this represents a form of conceptualization. Other sugges­

tions are to let the child explore and take risks, to supply creative

toys and kits, to encourage initiative, to take him places, to laugh with him but not at him. (Gibbs, 1967) Because concept formation under­

lies all creative thought, the curriculum which provides for creativity training is encouraging concept formation.

Vocabulary Development

At th e Ohio State U niversity, Edgar Dale and Joseph O'Rourke have done extensive work on vocabulary development with programmed in ­ struction. They try to extend a child's vocabulary by giving him the basic concepts o f ro o ts, p refixes and su ffix es which he can combine into new concepts or use to analyze new verbal concepts when they are presented.

The movement to expose the child to much concrete experience early is an attempt to provide a sound basis for vocabulary development. 144

The more words a person learns the better his conceptual development

providing he understands the meaning of the words. Explicit provision

for vocabulary development through the curriculum is a way to increase

conceptual knowledge.

Conceptual Analysis

Conceptual analysis is the act of breaking a problem down into

the concept or concepts it involves. It is the ability to identify the

major considerations or ideas which enter into a problem. One approach

to conceptual analysis is creative analysis. This approach combines

creativity training, vocabulary development and conceptual analysis.

It instructs the student to identify the rules and attributes which

can be used to construct concepts.

The creative analysis approach is presented by Albert Upton and

Richard Samson in th e ir book of the same name subtitled "The Graded

Exercises in Analysis." The book deals with types of analysis—

classification, structure, operation—and with qualification, signs,

analogies, definitions, problem-solving, semantic growth. In each

case it lists the types of sorting factors which apply. For example,

it enumerates sensory qualifications, sorting factors for classifica­ tions and the basic kinds of definition. A sample exercise from

Creative Analysis is reproduced in Figure 21.

Figure 21 shows sorting factors. Sorting factors are terms which indicate sim ilarities or differences among specimens. Vertical

sorting factors indicate similarities. Horizontal sorting factors

indicate differences. In Figure 21 color is both a horizontal and vertical sorting factor. 145

Fruit

*Red Fruit *Yellow Fruit *Blue Fruit (*Color)

Strawberries Bananas Blueberries Tomatoes Others Others Others

Fig. 2 1 .—The creative analysis approach (Upton and Samson, 1961, p. 55)

Another plan for the analysis of concepts has been presented

by John Wilson in Thinking with Concepts. This is a plan for identi­

fying a conceptual question that a problem hinges on.

As an example, Wilson uses the problem of resolving the con­

ceptual question, "Ought punishment to be retributive?" Notice that

the problem was not phrased as the factual question, "Is punishment

as it is used not retributive?" or the value question, "Do you think that punishment as it is used now is a good thing?" Instead the prob­

lem i s analyzed to be one of the meaning or interpretation o f a term

or idea. To follow Wilson's problem solving procedure for this con­

ceptual question, one would first determine the common meaning of retribution.

After comparing three or more cases (model, contrary, border­ lin e , related , invented, so cia l context) of the concept "punishment" as presently applied, the analyzer concludes that punishment entails retribution. He therefore finds that the conceptual question under examination is logically questionable because his analysis shows that the meaning of punishment includes retrib ution . He decides to re­ examine the conceptual question. 146

After rejecting many alternative questions of concept—such as,

"Is punishment only retributive?" and "What is the purpose of retribu­

tion?"—he decides that there is a need for a more neutral question not

involving concepts like punishment and retribution since they are conno-

tative of each other. It would serve society better to ask the concep­

tual question, "How shall we treat our criminals?" He formulates a

brief essay stating the results of his critical analysis and responses

to this essay. (Wilson, 1963, pp. 20, 94-105)

Some ways in which concepts can be analyzed are suggested by

B. Othanel Smith's list of modes of input used by teachers in present­

ing concepts.

From a study of behavioral situations in which concepts are being taught, it is possible to identify the following modes of input: A teacher: —cites one or more characteristics of the referent class, —cites a set of characteristics sufficient to identify something as an instance of the class, —cites a class of which the referent is a subclass, —describes a referent as a subclass of a given class, —compares the referent to something e ls e , —tells what the referent is not, —tells the opposite of the referent, —tells the difference between the referent and something e ls e , —notes the sim ilarities or differences between two or more instances of the referent class, —cites an instance of the referent, —cites something that is not an instance of the referent c la s s , —tells how an instance may be produced, or —gives evidence that a suggested instance is in fact an in stan ce. A person who is prepared to teach understands the structure of concepts as well as these input operations. (Smith, 1969, p. 57)

Learners could be taught to analyze a concept according to Smith's list.

If a learner could cite the referents, attributes and classifications called for in the preceding lis t, he would have completed an analysis of the concept. 147

Issues in Curriculum

Discovery v. Reception Learning

All learning is in some way a discovery. It has been suggested

that the difference between some of the recent curriculum approaches

lies in the relative difficulty or ease of discovering what is to be

learned. Thus reception learning and discovery learning would be

placed at the extremes of the continuum; while guided discovery would

occupy the middle position:

Discovery Learning z^uided Discovery :>Reception Learning

The implication is that the difference between approaches depends on

the size of the inferential leap.

Although it is true that some discovery is easy, other discovery

can be very difficult; the writer does not believe that the difference

between approaches lies here. The writer believes that the discovery

in reception learning can be very easy or very difficult. Even content

presented very completely with the points to be learned emphasized can

be difficult for some learners to comprehend. Similarly, discovery

learning can occur e a sily from a flash o f in sigh t or can be d iffic u lt to the point of impossible. The difference lies rather in the strategy presented. Discovery learning might be said to have more of a "scaven­ ger hunt" or "egg hunt" strategy. Guided discovery uses more of a

"treasure hunt" strategy. Reception learning is more like a rebus game in which one must break the code to find the meaning.

When recent curriculum projects speak of their discovery learning approach, they are really discussing a guided discovery 148

approach. By guided discovery, the writer means that the activities of

the learner haye been organized to lead him to a certain discovery.

A critique of the discovery and reception learning approaches

has been drawn up by Davis Ausubel (Ausubel, 1958, pp. 467-504).

Ausubel challenges those who accept discovery learning too quickly,

too uncritically and too exclusively. He first instructs us that those

who offer the success of recent curriculum projects as evidence for the

greater worth of discovery learning are in error. The recent curricu­

lum projects are often not as much discovery learning as they are ver­

bal reception learning.

His principal example is the UICSM (University of Illinois Com­

mittee on School Mathematics) project. He states that UICSM provides

for limited discovery learning (discovery generalizations) from the be­

ginning, but even this token discovery learning disappears by the end

of the program. The project actually uses programmed verbal expression

as the dominant approach. As for the contention th at the UICSM approach

is evidence for the value of the discovery method with high school stu­

dents, Ausubel says that the students entered with a poor elementary

school foundation in mathematics which the UICSM program compensates

for. According to Ausubel this proves nothing except that we may not

have used discovery learning early enough to make the more desirable

because more efficient reception learning feasible. The recent curricu­

lum approaches are more characterized by guided discovery, a cross be­

tween reception and discovery learning, he concludes.

Ausubel next instructs the reader to avoid assuming that it is the variable of discovery learning which has led to the success of the p rojects. The programs also involved equally lik e ly causal factors 149

such as the inductive approach, careful sequential programming, large

investments of time, materials and talent, the "Hawthorne effect,"

p r e c ise , unambiguous presentation of content, provision for concrete

experience and requiring systematic verbal formulation of basic prin­

ciples- While all the preceding factors are useful in concept develop­

ment, Ausubel feels that it is likely the last mentioned factor which

plays a more important part than discovery learning. In the writer's

opinion, providing for a better experiential base is probably also a

more important variable than discovery.

Finally, Ausubel tries to bring us to the realization that the

relative lack of success of reception learning may not be due to any

inherent limitation of the reception approach but rather to the rote,

unparticipatory way in which it has been used.

According to Ausubel the advantages of reception learning are

its efficiency, its preciseness, its suitability for unsophistocated

learners, for learners with limited ability or high ability and its

suitability for complex and unfamiliar learning materials. Further­

more, there is evidence that informing learners of useful previous

learning seems to increase transfer.

The disadvantages of reception learning, he notes, are the

tendency of some teachers to use the approach for rote learning, to

be insufficiently concerned with developing meaning. To help the

learner internalize or incorporate the material, David Ausubel advo­

cates the use of organizers in reception learning.* Organizers are

*Another recommended method for helping learners to relate the new material to their cognitive structure is giving an overview and a quick review. One means of using the overview effectively is the SQ3R Method of studying. The steps in the Survey Q3R Method are (1) survey, (2) question, (3) read, (4) recite. (Robinson, 1961, pp. 29, 30) 150

introductory materials that help the learner to relate his learning to

what he already knows. (Ausubel, 1968, pp. 148, 149; see also pages

74-75 of this report)

Guided discovery, Ausubel notes, is not new. It is a variation

o f the Socratic method • Its advantages are that i t seems to be supe­

rior for the science student with average ability. Moreover, it seems

to be suited for developing new and simple ideas from familiar mate­

rials. It is also suitable for elementary pupils because they do not

have an adequate backlog of experience to draw on in concept formation.

It develops desirable attitudes towards scientific inquiry and learning

skills. It can easily enhance confidence (as could reception learning).

One of the disadvantages of the guided discovery approach is

that students can end up rotely memorizing specific types of problems

instead of rotely memorizing formulas as is done in much traditional

reception learning. (Ausubel does not approve of rote learning of

either types of problems or formulas. He believes that to be meaning­

fully learned problems and formulas must be integrated with the learn­

er’s cognitive structure.) Moreover, ^nboratory work doesn’t neces­

sarily lead to understanding.

Research on th e guided discovery approach i s inadequate too

for the reason mentioned on pages 148-49—significant variables, such as investment of time and material, are not taken into account. Research favors the general superiority of guided discovery over reception or discovery learning, however. According to Ausubel, the guided dis­ covery method seems to be the most efficient means of learning. Unlike discovery learning it is not unreasonably time consuming or costly.

Guided discovery seems to be more likely than reception learning to 151

lead to concepts integrated with the learner's cognitive structure.

When compared with reception learning or discovery learning, guided

discovery was generally found to produce superior learning. If it

did not produce superior learning, there were no significant differ­

ences. Guided discovery did not produce less learning than reception

learning or guided discovery.

The discovery approach is successful when the learning task is

one which i s short and easy and one which i s to be developed from fa­

miliar materials. It is useful for the early unsophisticated stages

of abstract learning, for testing the meaningfulness of knowledge, for teaching learning sk ills, for increasing the meaningfulness of exposi­ tory learning and for enhancing motivation and transfer.

As with other types of learning teachers can misuse the dis­ covery approach. Teachers too often accept ability to verbalize as the criterion of discovery. Nor is problem solving any guarantee of meaningful discovery.

Even though the discovery method is useful for the early stages of abstract thinking, it can lead learners astray. Children and often unsophisticated adults are subjective and tend to jump to conclusions, to overgeneralize or consider only one aspect. This method is not suitable for every task or child. Difficult and unfamiliar tasks

Ausubel finds unsuited for the discovery approach. He does not feel that every child can be made a critical or creative thinker.

The greatest disadvantage of this approach is that it is costly and time consuming.

Ausubel misses the opportunity to urge research on children who experience a mixture of approaches. This last criticism is important 152

because children probably need experience with various approaches in

curriculum design.

The advantages and disadvantages of reception and discovery

learning are charted in Table 4. This table was developed by this

w riter.

TABLE 4

A COMPARISON OF RECEPTION AND DISCOVERY LEARNING APPROACHES

Suitable for

Type o f Type of Type o f Learning Learner Task Material Advantages Disadvantages

Discovery Sophis- Short, Familiar M otivates, C ostly, Learning tica ted Easy T ransfers, Time consum­ Tests in g. meaning­ Tendency to fu lln ess . jump to con­ clusions , overgeneral­ iz e . A b ility to verbalize can be wrongly accepted as a criterion of success.

Guided Average, Develop- Familiar E ffic ie n t, Can confuse, Discovery Elemen- ing new Develops Can lead to tary. ideas learning rote memori­ s k i l l s , zation. Builds confidence.

Reception Unsophis- Complex Unfamiliar Efficient, Tends to be Learning ticated, P recise, used rotely. Poor. T ransfers, Confusing if Builds poorly confidence. organized• 153

Facts V. Skills v. Ideas

Another area of dispute has been over whether curriculums

should concentrate on transmitting facts or on developing skills or

ideas. Traditionally, the emphasis has been on transmitting facts.

Recently, however, approaches which concentrate on developing sk ills

in inquiry or on developing basic ideas have been more in favor. Among such recent approaches are the process approach, the fundamental ideas approach, the unifying principles or themes approach and the structure of a discipline approach- It is believed that in a world where facts are revised continually, the learning of general principles and of learning skills will be more useful- Furthermore, even if facts never change, memorizing of facts is short term learning because it is not woven into a web of relationship s -

The process approach emphasizes the development of sk ills rather than the learning of specific subject matter- It is the processes of study in a discipline that are considered most important to leam , not the facts unearthed by the discipline. (Haney, 1966, pp.

3, 4) Actually, it is not a matter of learning either the skills or the facts- Rather, it is a matter of more emphasis on learning the skills- The process approach curriculum is usually laboratory-oriented-

Often, the discovery learning method is employed extensively- "Funda­ mental ideas," "unifying principles or themes" and "the structure of a discipline" all describe similar approaches-

Hilda Taba speaks of basic ideas "which represent the fundamentals of a subject or a discipline-" These basic ideas are also described as focusing ideas or the knowledge that all students should master- These ideas should have a central role- Every aspect of the 154

curriculum "—content, experiences, and materials—should be organized

to support the development of these ideas." (Taba, 1962, p. 354)

Geotropism and survival of the fittest are examples of fundamental

id eas.

An example of a unifying theme used by the Earth Science Cur­

riculum Project is "science as inquiry." Another is "adaptation to

environmental change." An example o f a unifying theme used by the

Biological Sciences Curriculum Study is "change of living things

through time: evolution." Another is "genetic continuity of life."

Such themes are developed at a ll grade levels and through many topics.

(Haney, 1966, pp. 4, 5) "Unifying principles or themes" can often be

considered to be synonymous with "fundamental ideas."

Jerome Bruner has developed and propounded the idea of using

the structure of a discipline to organize a curriculum. Bruner

states that "Grasping the structure of a subject is understanding it

in a way that permits many other things to be related to it meaning­

fully. To leam structure, in short, is to leam how things are re­

lated." (Bmner, 1960, p. 7) Structure as Bruner describes it is

synonymous with fundamental ideas and unifying themes. Bruner empha­

sizes that the structure varies with the discipline. The disciplines

of science are based on a structure of laws explaining cause and ef­

fect. In mathematics the structure is one of fundamental operations

such as commutation, association. In language the structure is grammar.

But, how do the discovery v. reception leaming controversy and the facts v. skills v. ideas controversy relate to conceptual develop­ ment? The importance o f these two issu es lie s in the emphasis of re­ cent curriculum approaches on: 155

1. Providing an adequate background of experience for concept

formation,

2. Developing concepts and conceptual ability, not just fac­

tual knowledge.

Understanding these two issues helps us understand how recent curricu­

lum approaches can improve conceptual development.

Recent Curriculum Proj ects

Each of the recent curriculum projects incorporates one or more

of the just-described approaches. Descriptions of several of these

p rojects w ill c la rify how recent curriculum projects combine some form

of discovery leaming with reception leaming and with an emphasis on

the stmcture of the discipline or unifying principles. Many of the

projects emphasize teaching the students to conceptualize. Evalua­ tions of the success of the curriculum projects based on research have been solicited for presentation here. The sources for the conclusions about each project were articles fumished by the project upon request.

When a conclusion is based on experimental research, this is indicated and the source given.

SMSG

The University of Illinois School Arithmetic Project sponsors a School Mathematics Study Group (SMSG) (1958-) for developing mathe­ matics curriculums. The symbolism of frame arithmetic has been used by the project to help students discover patterns. The value of the frames is visual. Frame arithmetic is really a way of abstracting or o f giving a model, scheme or organizer. The SMSG approach is one o f 1 5 6

guided discovery. The strategy is usually to pose puzzles for students

to solve.

Examples of frames posing an arithm etic puzzles follow . These

frames illustrate the commutative property:

3 + 0 = 8 + □

6 x Q = 9 x Q

(See UICSM* Project Staff, 1967, pp. 119-24, for a detailed explanation

o f frame arithm etic.)

Research indicates that students in SMSG classes do just as

well on standard tests of mathematical skills as do students in conven­

tional courses. At the same time, the SMSG students are exposed to and

seem to leam something about a number of concepts not available in con­

ventional courses. It should be noted however that the research was

conducted with above average pupils because the SMSG program is gen­

erally used with above average pupils. (School Mathematics Study Group,

1963)

SOIS

The SOIS (Science Curriculum Improvement Study) (1963-) tries to foster logical thinking and basic concept formation in science. A guided discovery method is used. Materials used led to increased ver­ balization after observation. They also led to increased discriminatory

University of Illinois Committee on School Mathematics. 157

and classification skills. The program is used with elementary school

children. According to the SCIS, "A science curriculum should there­

fore be judged both on the opportunities it affords pupils for having

stimulating experiences and on the conceptual hierarchy [my italics]

that these experiences nourish."

"The development that takes place in the absence of such in­

struction is haphazard and leads to many invalid generalizations that

are serious obstacles to later learning." The SCIS program teaches

different level abstractions in ascending order. Conceptions of mat­

ter are taught before conceptions of interaction which are taught be­

fore conceptions of energy. The program also uses different levels

of involvement from reception leaming to discovery learning.

According to teachers' reports, the Science Curriculum Im­

provement Study program does improve the vocabulary of disadvantaged

children, foster logical thinking and basic concept formation in sci­

ence and lead to observation followed by increased verbalization.

Teachers a lso commented, "The children are more discrim inating in th eir

observation than before. They more easily identify, compare and clas­ sify." (Science Curriculum Improvement Study, 1967, p. 4)

Science—A Process Approach

Science—A Process Approach is an experimental curriculum de­ veloped (1963-1967) under the auspices of the AAAS (American Associa­ tio n for the Advancement o f Science) Commission of Science Education.

The project uses experimental laboratory exercises to develop scien­ tific skills such as observing, constructing questions, constructing hypotheses, identifying manipulated variables, constructing operational 158

definitions, constructing tests of hypotheses, demonstrating a test,

collecting data, displaying data, interpreting data, modifying

hypotheses•

This approach is one of guided discovery. It uses activities

with experiments to develop discovery skills. Students are expected to

acquire competency in classifying, communicating, inferring, measuring,

using number relationships, observing, predicting and using space/time

relationships.

The project has developed instruments to help a teacher decide

where to begin instruction in any given year and with a particular group

of children. These instruments are process hierarchies. "Each process

hierarchy consists of a description of one or more terminal behaviors

and a collection of behaviors which have been established as being sub­

ordinate to the terminal behaviors." Information has been collected

on which behaviors learners of a certain age with a specified amount

of experience in th is program acquire.

A sample of a process hierarchy instrument is reproduced in

Figure 22. The reader w ill note that as a learner moves up the hierarchy of behaviors showing use of space/time relationships he is required to perform progressively more difficult tasks of identifica­ tion, application and discrimination.

Field testing data collected so far indicate that the curricu­ lum is about equally successful with advantaged, middle income and dis­ advantaged families. The students have been found to acquire the de­ sired competencies from the curriculum. Furthermore, "Evaluation data clearly show that pupils who start their experience with Science —A

Process Approach in Parts F ive, S ix , or Seven are at a d istin c t Distinguishing number of distinguishing time re­ days ol famil'ur events, quired to perform using a calendar. familiar activities in terms of intervals.____

Identifying and naming Demonstraling that mo re Distinguishing between and common two-dimensional than one object may he naming the directors up stages that are compo­ folded in more than one and down, forward and back, nents of common three- way to produce matching left and right with respect dicnensional shapes. halves* to objects.______

Constructing spatial Identifying and naming Ufinoiisimting sym­ Idealilying and naming Identifying and naming arrangements of sub­ matching parts insym­ metry by I olding. movements of one's own the day of the week. jects from pictures metrical halves. body in the directions and diagrams.______up, down, forward and back, le ft, and right.

Identifying and naming Id»*n1i lying and naming Identifying objects as common three-dimensional common two-d i mensi ono1 moving or not moving. shapes: cone, cylinder, shapes, triangle, spheres, cube, and circle, square, ellipse p_v rami d. and rectangle.______

fig. 22.—A Process Hierarchy: I'sing Space/Time Kelationships (American Association for the Advancement of Science, dune, 1967)

M k / \ VO 160

disadvantage when compared with pupils who have had the program in

ea rlier years." (American Association for the Advancement o f Science,

June, 1967; November, 1967)

BSCS

The BSCS (Biological Sciences Curriculum Study) makes three

different approaches available- It also has versions for different

student levels. The BSCS program (1958-) is inquiry or laboratory

oriented. The approach is one of guided discovery. The student is

given practice in analyzing data, in drawing conclusions, in seeking

relationships from generalizations and in finding his own answers. The

objective is to teach science as a way of thinking. The BSCS put

greater stress on laboratory work and on understanding basic general­

izations than did traditional programs.

The BSCS program makes use of many m aterials including a pam­

phlet series, single topic films, laboratory blocks, technique films,

textbooks, and programmed instruction. It uses open-ended materials

which emphasize basic concepts.

Since the BSCS programs are essentially inquiry and laboratory oriented, the objectives of the BSCS program may be subverted by the use of supplementary films of an informational nature. It is for this reason that the BSCS developed its Single Topic Film series. These films are specifically designed to evoke inquiry and p articip ation from the student. They present data from which the student is asked to form and evaluate hypotheses. The Single Topic Films may be used to reinforce the underlying BSCS theme that science is a process of inquiry. (Biological Sciences Curriculum Study, August, 1967, p. 10)

One BSCS film series includes eighteen, four-minute laboratory technique films available in 16 mm. sound film or 8 mm. silent film loops. Another BSCS film series includes 20 super 8 mm. loops (four- minute silent) on ecology and behavior. A third series includes 161

twenty, four-minute film loops on molecular biology, bacteriology and

physiology. The former series is available from Thone Films; the latter

two series from Harcourt, Brace and World, Houghton M ifflin , or Rand

McNally.

For advanced students there is a booklet of research problems

to tackle. For the academically unsuccessful student there is a pro­

gram called Biological Science: Patterns and Processes. Biological

Science: Patterns and Processes differs from the other BSCS textbooks

in that it develops each topic in smaller steps. Moreover, great care

is taken to tie each step to the preceding step. The Patterns and

Processes version also allows for even more active student participa­

tion as a part of the leaming situation than do the other BSCS inquiry

oriented textbooks.

Studies comparing BSCS and tra d itio n a l biology courses have re­

vealed no significant differences in achievement gains between the two

groups. (Biological Sciences Curriculum Study, August, 1967, p. 21)

There is some evidence, however, th at students using the most advanced

form of BSCS, the blue version, developed greater critical thinking

a b ility from BSCS than from tra d itio n a l courses.

There has been some evidence that teacher style affects the resu lts of using the BSCS program. This was reported in a study en­ tit le d "Teacher Variation in Concept Presentation in BSCS Curriculum

Program" by J . J. Gallagher. (Biological Sciences Curriculum Study,

January, 1967) Gallagher studied six biology teachers using the blue version of BSCS and their students. All the teachers were instructing in suburban communities, and a ll had some training in using BSCS. To standardize his study procedures, Gallagher used a classification 162

system developed earlier in collaboration with others- The system

Gallagher has described is visualized in Figure 23-

Generalization

Concept

Data ExplanatiolSw Evaluation^ Justification CONTENT Evaluation- Matching SKILLS Expansioi

Fig. 23-—Topic classification dimensions—classroom interaction a n a l y s i s . (B io lo g ica l Sciences Curriculum Study, January, 1967, p. 10)

The dichotomous dimension of content/skills refers to teaching objectives. The data, concept, generalization dimension refers to the level of conceptualization. The dimension of expansion-activity re­ fers to style, to how information is being presented.

. . . the focus of a topic in a class session can be on Description, or the defining or describing of aspects of a concept or event; on Expansion, which would lead the group off to other lines .of thinking or encourage new associations; ...... on Explanation, which would focus on reasoned argument through sequential deductive steps of thinking; or Evaluation- Justification , which reveals an attempt to make a decision and then explain the reasons for the judgment; or Evaluation- Matching ) which depends upon the presence of previously 163

established criteria for judgment and attempts to match events or circumstances to those criteria.

This style of classification system is further illustrated in Table 5

on the following page.

Results revealed a wide diversity of style and emphasis among

instructors; although a ll were using the same BSCS version, Gallagher

concluded:

It is likely that the long range instructional goals of cur­ riculum innovators w ill not be finally reached until they ex­ plicitly train teachers in techniques for analyzing their own instructional strategies as well as training them in their sub­ ject area fields. (Biological Sciences Curriculum Study, January, 1967, pp. 10-18)

The predominate reason for the diversity of style and emphasis among instructors seemed to be that the instructors' interests and in­ terpretations varied. An instructor interested in preparing future scientists may emphasize the laboratory aspect of the science curricu­ lum even in the instruction period. An instructor interested in bio­ chemistry may spend an unusual length of time on that aspect of the course.

CHEM

CHEM Study (Chemical Education Material Study) (1958-) went further than most other curriculum studies and developed films for teacher training as well as student training. Teacher training films for CHEM help clarify the concepts that teachers are using to organize the students' course of study.

Much of the time and effort formerly spent on five questions for the preparation of oxygen or three chemical properties of hydro­ gen chloride are now devoted to the study of unifying principles, concepts of thermodynamics, equilibrium, reaction rate, chemical TABLE 5

TOPIC CLASSIFICATION OF BIOLOGICAL CONCEPTS

Description (0) Expansion ( e ) Explanation (X) Evaluation (V)

Generalization The system of What would happen Show how th e s y s ­ Does this repre­ photosynthesis• if the system of tem of photosyn­ sent an adequate photosynthesis thesis explains statement for ceased function­ the change in photosynthesis? ing? leaves from COg+HgO ------^ brown t o green. [CHgO] + Og

Concept The definition Contrast the How do we know th a t Do you believe of a hetero- autotroph and the oxygen from it was essen­ tr o p h . the heterotroph. photosynthesis tial that auto­ comes from water? trophs devel­ oped?

Data What colors do Comparing th e Describe in se­ Was our experi­ you see in the black V. white quence the experi­ ment a su ccess? spectroscope? cloths, their ment by C alvin. ability to ab­ sorb light.

Source: Biological Sciences Curriculum Study, January 1967, p. 11.

ON 165

periodicity, and chemical bonding are explored in greater depth than ever before at this level. (Strong and Pimentel, January, 1964, p. 25)

CBA

The CBA (Chemical Bond Approach Project) (1957-) uses a guided

discovery approach. Observations and concepts are differentiated in

the interpretation of laboratory data. The goals of study under the

CBA program are questioning and principle identification. A textbook

developed by the CBA Project, Chemical Systems and the laboratory

guide Investigating Chemical Systems, develop a central theme to or­

ganize and tie together the several areas of chemistry. The theme is

chemical bonds. Chemical reactions are viewed as breaking the old

chemical bonds and forming new ones. Other inseparable major themes are energy, random arrangement, random motion and reaction kinetics.

Examples of these continuing themes are:

1. the observation of change in chemical systems,

2. The interpretation of chemical change as structural

change,

3. The concept of energy as an aid to interpreting changes.

Concepts and models for interpreting facts and observations obtained in experimental work are emphasized with the aim of encouraging stu­ dents to establish sound correlations between concepts and observa­ tio n s. The CBA approach t r ie s to use a new, freer approach to experi­ mentation to develop new levels of understanding. It tries to chal­ lenge students to think, not to memorize.

The program is intended for high school students. After re­ viewing some of the materials the writer feels that they are well suited only to students with above average science and mathematics 166 backgrounds or above average ability. This conclusion is based more on the difficulty of the laboratory exercises than on the difficulty of the textbook. According to the project directors, the materials have been written so that a student without a high school course in physics or three years of mathematics can profit from them. (Strong, 1964; Neidig,

Teates, Zom, 1966; Chemical Bond Approach Project, n.d.. First Issue)

The CBA approach has produced d ifferences in preferences for learning style• Ronald Marks investigated these preferences using a procedure much like that developed by Robert W. Heath for evaluating the PSSC course. (To obtain information on Heath’s instrument for com­ paring cognitive preferences write to Robert W• Heath, Head of Research and Development, Educational Testing Service, Berkeley, California.)

Heath believes that the conceptual style a student exhibits when a problem solving situation arises w ill be dependent largely on the na­ ture of the curriculum presented to him. Marks reported:

The four cognitive preferences chosen for comparison in this study were (l) memory or recall of chemical facts, (2) practical application, (3) critical questioning of information, and (4) identification of fundamental principle. These four cognitive preferences were chosen because the "memory" and "practical ap­ plication" preferences were closely related to the goals of in­ struction in the traditional course and the "questioning" and "principle" preferences were closely related to the goals of the CBA course of study.

The analyses show that, after having completed a year of chemis­ try in the respective curricula, the CBA group had a significantly stronger preference for the fundamental principle and critical questioning options to the test items. When achievement test scores were related to the cognitive preferences of students by means of analysis of variance, it was found that neither the ACS Co-operative Examination nor the CBA Final Examination were criteria from which to forecast the cog­ nitive preferences of these students. Thus, the hypothesis that the cognitive preferences as expressed by students could be re­ lated to achievement was rejected . . . . However, the CBA group had a significantly higher mean on the achievement test than did 167

the control group on the same test • • • also . . • the mental ability of the CBA group was greater than that of the control group. (Marks, 1967)

Marks also reports that the CBA group showed a preference for

interpretation and analysis. The control group showed a preference

for memorization and recall. The conclusion is that the inquiry ap­

proach is at least as effective as the traditional approach. It

is even more effective than the traditional approach in encouraging

problem solvin g.

PSSC

The PSSC (Physical Science Study Committee) program (1956-) presents the unifying principles of physics. The learner follows ver­ bal guidelines to find out how these unifying principles relate to the ideas developed by the field. The laboratory provides the experience which is the basis for discovery. There is reception learning about the history and structure of physics. The course tries to concentrate on fewer topics than conventional courses so that the understanding of physics developed can be deeper. It encourages the student to try to apply the ideas of physics to new problems. It is intended to be part of the general education of the student, rather than specific prepara­ tion for the further study of physics. (Physical Science Study Commit­ t e e , 1962)

The PSSC physics program i s designed to show students some of the structure of physics and how it was discovered and under­ stood by human beings. The program concentrates on fewer fa cts than are usually included in an elementary physics course. Understanding these facts is emphasized; memorization is not. (Physical Sciences Study Committee, n.d., pp. 1-4) 168

Evaluation of PSSC programs and materials has been complicated

because the PSSC curriculum content was not as broad as that of the

conventional physics course.

This chapter has explained how curriculum design can and has

influenced conceptualization. Recent curriculum projects have influ­

enced conceptualization by emphasizing learning to conceptualize and

by emphasizing how concepts relate to a few major concepts in a f ie ld •

Consequently, the recent curriculum projects have contributed a con­

cern for relating concepts to a conceptual structure as they are

learned. The recent curriculum projects have also contributed methods

for so doing. The theme common to a ll the current curriculum projects

is conceptual structure. This means developing concepts that are or­ ganized to have meaning in relation to other learning.

This chapter discusses the conceptual structure of a course, its interpretation by a teacher and its incorporation into the concep­ tual structure of a learner. The "structure of a subject" means the general ideas which explain many sp e c ific phenomenon. The structure of a subj ect explains how things are related. "Tropism" is a general idea which explains how organisms relate to their environment. (Taba,

1962, p. 176) A teacher's interpretation of the structure of a sub­ ject influences what ideas are emphasized in learning situations. As a consequence the learner is more likely to incorporate some ideas into his conceptual structure than he is others. CHAPTER VI

AUDIOVISUAL DESIGN

This chapter considers factors in audiovisual design and their

effects in concept building. Throughout this chapter, the writer under­

lines guidelines for specific decisions in the audiovisual field which

can be inferred from the data reviewed.

The chapter is divided into three parts: I. Stimulus Factors;

II. Cuing Factors; and III. Response Factors. These three parts will be subdivided into sections as follows:

I . Cuing Factors

A. Set

1. Directions

2. Pretraining

3. Pretesting

4. The Nature of the Learning Task

B. Cuing

1. Familiarization

2. Availability of Cues

3. Presentation Order

4. Perceptual Principles

5. Channel U tiliza tio n

6. Compelling Stimuli

169 170

7. Abstraction

8• Prompting

II. Stimulus Factors

A. The Medium

B. The Content

1. Instances in Content

2. Attributes of Instances

3. Amount of Content

4. Approach to Content

a. Treatment

b. Structuring

c. Editing

III. Response Factors

A. Rate of Response

B. Type of Response

C. Feedback to Response

The design factors discussed in each section will be listed at the

beginning of the section.

I . Cuing Factors

Set

Factors: Directions, Pretraining, Pretesting, Nature of the Learning

Task

D irections

The establishing of set by the initial directions given the learner has been researched by Harriet Pod ell in her work on problem solving behavior. Podell defines three kinds of set: intentional. 171

incidental and aesthetic. Aesthetic set is intuitive as is incidental

set. Intuitive behavior is, in this case, relatively passive behavior.

Intentional set involves more active behavior. When a specific strategy

for thought is established by directions; then an intentional set has

been established. In incidental set concepts are arrived at more on

the basis of free association. The instructions which Podell used to

establish intentional and incidental sets for concept formation are

reproduced below.

INTENTIONAL

In this test booklet, you will see pictures of a certain type of flag. All the flags of this type have certain features in common. In other words, they are alike in some way though not in others. Try to find out how they are alike: try to notice the things which are in all the flags you see and which you would guess are in a ll fla g s of th is type. • . .

INCIDENTAL

In this booklet, you will see pictures of a certain type of flag. Though they are alike in some ways, try to notice how well you like each one and how well you like this type of flag generally. For each flag, decide whether you like it very very much, very much, medium, or don’t lik e i t . . . . I^ e ll, 1963)

After giving th ese d irectio n s, Podell measured concept formation which took place under both of these conditions. She found that the uninten­ tional (incidental) set subjects mentioned fewer common features and more variable features than the intentional set subjects. Furthermore, unlike the intentional set subjects, the unintentional set subjects showed no evidence of a tendency to remember either common or variable features. One way of establishing a set for concept learning is, therefore, by using directions to develop an intentional set.

Other aspects of using directions to establish a set for con­ cept learning have been investigated by J. Bruner, D. Kalish, D. Lynch 172

and C. Frederick. Jerome Bruner and h is associates have found th at the

technique of telling subjects which dimensions are free to vary is

facilitating. It has the effect of decreasing the number of irrelevant

dimensions attended to. (Bruner, et a l., 1956) In a study of Concept

Attainment as a Function of Monetary In cen tives, Competition, and

In stru ction s, Patricia Kalish found that in stru ction s designed to help the subject recognize that there was a concept to be attained facili­ tated concept attainment. (Kalish, 1966)

Other studies in which instructions variables have been manipu­ lated confirm their facilitating effect. Daniel Lynch concluded on the basis of his research that instructions designed to help students rec­ ognize that there was a concept to be attained, and also the nature of the concept, facilitated concept identification significantly better than did instructions designed only to acquaint students with the stimulus material. (Lynch, 1966)

Wayne C. Frederick studied The Effects of Instructions, Concept

Complexity, Method of P resentation, and Order o f Concepts upon £ Concept

Attainment Task. In his experiment Frederick used four sets of instruc­ tors. The instructions differed as follows :

1. Tape recorded instruction s to a figu rai board which re­

quired forming concepts from shapes—about 400 words long,

quite complex, efficient. '■

2. Tape recorded instructions to an educational psychology

board which required forming concepts from terms—about

300 words lon g, complex, very e ffic ie n t.

3. Written instruction s to a figu rai board which required

forming concepts from shapes—about 1250 words long. 173

easier but less efficient than the tape recorded instruc­

tio n s.

4. Written instructions to an educational psychology board

which required framing concepts from terms—about 380

words long, the simplest set of instructions, inefficient.

The taped instructions took an average of about four minutes

less time than the written instructions. Furthermore, the time sub­ jects needed to comprehend the written instructions varied. No effect of instructions was significant at or beyond the .05 level. From this lack of difference, Frederick concluded that hearing the instructions is at least as effective as reading a similar set of instructions, and in this case, results in a saving of experimentation time. (Frederick,

1965, pp. 14, 21-24)

Pretraining

By pretraining the writer means providing enough practice in the skills of concept learning so that a set to use these skills is developed. This learning of a common pattern of responding as a re­ sult of training is an instance of transfer of the concept of "concep­ tualizing." The success of pretraining depends on the degree of learning obtained. Since this is true there is also the danger that the set learned will become a habit which later interferes with learn in g.

P retesting

It is important that the learner establish a set for requiring meaningfulness in concept building. Pretesting can be a way to estab­ lish a set for meaningful concept learning. Questions which make 174

obvious the need for understanding why not just what could be used. For

example, a pretest for a problem on art analysis and appreciation might

use the question: "What are the characteristics of Van Gogh's style of

painting?" To establish a more meaningful learning set, the question

might be: "Why did Van Gogh use bold swirling and thrusting brush

strokes at different angles to paint trees, grass and clouds?" The

phrasing of the questions used in pretesting can be important. They

should be of sufficient generality to stimulate attention. Questions

which call for yes or no, true or false answers w ill probably not be

satisfactory. A pretest question which asks the student to give con­

crete examples of a principle can establish a set for more meaningful

learn in g.

Nature o f the Learning Task

When a learning problem is obviously one of conceptual rather than skill learning a set for concept learning can be triggered in re­

sponse to the nature of the task. In such a case, the task could be

called a cue that elicits a concept learning set. If it is immediately apparent that the task is to classify, then a concept learning set can be established if pretraining in concept learning has occurred.

It is important that the learner manifests a meaningful learning set and that the learning task itself be potentially meaningful to the learner. If the learner means to internalize the learning rotely the results w ill be as inadequate as they will be if the learning task it­ self consists of purely arbitrary associations. David Ausubel de­ scribes this dual need as the necessity for both a meaningful learning set and a potentially meaningful learning task. (Klausmeier and Harris,

1966, pp. 158, 159) 175

In his study of the influence of set on the learning and reten­

tion of concepts, Homer Reed experimented with the nature of the task

established by instructions and the learning of concepts. Reed con­

cluded that:

1. Subjects instructed to learn names and their meanings

search more frequently for logical relationships than do

those instructed to leam names only. A set to leam

names and th eir meanings y ield s a much larger number of

logical concepts than does a set to leam names only.

2. Furthermore, concepts logically formed are learned more

quickly and better remembered than those illogically

formed. A set to leam meanings as well as names yields

a much higher rate of learning and degree of retention

than a set to leam names only.

(Reed , 1946, p. 86)

The key element in using set to promote concept learning, seems to be, then, establishing a set for meaningfulness. A set for meaning­ fulness may be established by directions, by pretraining, by pretesting or by the nature of the task. A set for meaningful leaming will not lead to meaningful concept building unless the task is potentially meaningful.

Cuing

Factors: Familiarization, Availability of Cues, Presentation Order

(Simultaneous or Successive), Perceptual Principles, Channel

Utilization, Compelling Stimuli (Color, Novelty, Conrast,

Size, Placement, Attention-Directing Devices), Abstraction,

Prompting 176

Cuing is a stimulus factor using to control response. A certain

association between the cue and the response must be formed for the task

to be mastered. A cue must not be equated with the stimulus. It can be just an aspect of the stimulus. A bull in a ring is a stimulus to a

bullfighter. The bull's horns are an aspect of that stimulus. The horns are a cue. The bullfighter's response depends on the proximity

and the position of the horns.

Familiarization

Familiarization is pretraining not in a general leaming atti­ tude but rather in specifics that are important to attend to. Cuing by familiarization means cuing by recognition that a cue is important to attend to.

A. A. Lumsdaine (Gage, 1963, pp. 641, 642) b elieves that most of the research on familiarization is irrelevant because (l) it com­ pares the value of familiarization activity with no familiarization activity instead of with other forms of activity, such as repeated presentation, and (2) because it does not deal with specific cue fac­ tors involved in familiarization. An exception is this experiment by

J. J. Wulf, F. D. Sheffield and Doris G. Kraeling (1954).

One kind of familiarization required training subjects to attend to important features of all mechanical parts before any assembly training; the other familiarization procedure (which took less time) involved pointing to the same important features o f each part ju st before the assembly of each part was shown. . . . The results support the conclusion that (l) a procedure which directs the learner's attention to important features will facilitate training in the manipulation of complex task elements in which only some features are important and also that (2) such familiarization is more effective if given in the context of, and just prior to, training in the utilization of each task ele­ ment than if given as a completely separate, prior procedure. (Gage, 1963, p. 642) 177

We may conclude that familiarization w ill facilitate leaming more if

given in small portions at relevant moments during the task.

Availability of Cues

Availability of cues means whether the material presented in

the pretraining or presentation is left so that the learner can refer

to it. Textbooks furnish a high availability of cues because important

points are noted and can be checked throughout the task. James Inglis

has studied "Sensory Deprivation and Cognitive Disorder." He found

that if both sensory support and storage capacity are denied, the be­

havioral disruption is much greater than otherwise. (Inglis, 1965)

L. Bourne, S. G oldstein, and W. Link found that the major e ffe c t of

stimulus availability in concept leaming was the reduction of memory

errors. (Boume, Goldstein and Link, 1964) The important guideline

which can be derived i s that i f the cues which must be presented are

more than can be handled by th e learn er's immediate memory span, pro­

vision should be made to make the cues available for handy reference.

Presentation Order

The terms "sequencing," "order effect" and "simultaneous and

successive presentation" are used nearly synonymously. To this list

of terms, William Allen and Stuart Cooney have added "linear" and

"nonlinear presentation." (Allen and Cooney, 1964) In simultaneous

presentation all the cues are available at once. In successive pre­

sentation only some of the cues are made available at each step in

learning.

R. M. W. Travers sees a third possibility. This is a combi­ nation of successive and simultaneous presentation in which the whole 178

display is presented at once with the experimenter or teacher pointing

to various exemplars and asking whether or not they are correct.

Travers comments that the strategy for responding adopted by the

learner depends to some extent on the presentation order. (Travers,

1967, p. 206) It is dangerous to draw any sweeping conclusions about

the superiority of any presentation order because there are so many

factors which could complicate the success of this order. Some of the

complicating factors which need investigation in conjunction with

presentation order are age, sex, cognitive style, availability of

cues, media, number of channels utilized, ability differences, na­

ture of the task, number of relevant and irrelevant cues, type of

content. Nadelbaum, for example, has found th at drawings required

fewer prompts per concept when presented successively; whereas with

models fewer prompts are required when presentation is simultaneous.

(Nadelbaum, 1957)

The case for simultaneous presentation is that availability

of previous stimuli reduces the memory load and thus avoids confusion

and reduces the possibility of errors. J . Bruner, J. Goodnow and G.

Austin compared the results of problem solving when the complete

stimulus array was present and when the subject was forced to solve

problems using only what could be retained of the array in his memory.

The "Completely in the head" problem solvers did much worse. They, however, did their best when they avoided a scanning strategy and

chose instead a focusing strategy which concentrated on retaining a few, often redundant, cues. (See p. 255)

Jerome Bruner has also presented evidence to show that leaming from a simultaneous presentation is more efficient when the instances 179

are ordered in some way. Mammals should be grouped separately from rep­

tiles. The crucial factor seems to be to make the ordering clearly

visible. (Bruner, et , 1956)

It has been further suggested that the success of simultaneous

presentation depends on limiting the number of cues presented simulta­

neously. Lyle Boume Jr. (1964) varied the number of stimuli which

were exposed on any trial. The number of stimuli presented at once

varied from zero to te n . He found that o v er-a ll performance improved

as the number exposed increased from zero through five. The improve­

ment was greatest in problems with a large number of relevant attrib­

utes. (Boume, 1966, p. 83)

Time is also a factor. For the simultaneous presentation to

be effective a longer presentation interval is necessary. (Cross and

Duncan, 1963; Boume, Goldstein and Link, 1964) Boume has found, nevertheless, that stimulus displays wherein all the information is

embodied in a sin g le compact figure resu lt in fa ster problem solving than do those which distribute the same information across a set of discrete figures.

The case for successive presentation is that sequencing helps to select and reinforce relevant cues and helps to facilitate discrimi­ nation, especially between similar stimuli. E. Z. Rothkopf (1958) found that when stimuli are similar they should be maximally separated not clustered by simultaneous or successive presentation during practice.

R. Gagne (1950), however, found successive presentation, not simulta­ neous and not maximally separated presentation, of similar stimuli to be most effective. (Gage, 1963, p. 648) The disparity between their results may be explained by the stimuli used. Gagne used nonsense 180

syllables and figures in a paired-associate leaming task. Rothkopf

used Morse code signals and their alphabetic or numeric equivalents

in a discrimination leaming experiment. Neither Gagne or Rothkopf

found simultaneous presentation to be e ffic ie n t for leam ing to d is ­ tinguish between similar stimuli•

Nancy Smuckler has compared the two methods o f presentation as they affect concept leaming in second graders. She found that al­ though the successive method was more effective than the simultaneous for in i t ia l acq u isitio n , both methods were equally e ffe ctiv e for re­ tention and transfer. The task in this experiment was to leam to identify a trapezoid. Several geometric shapes were employed.

H. B. Reed (1950) investigated the influence of presentation method on retention. The simultaneous method resulted in better reten­ tion than did the successive presentation of stimuli. The task in

Reed's experiment was to leam different series of stimulus words.

The series used were of several lengths. (Smuckler, 1967, pp. 10,

19-20)

Early indications are, then, that the most effective presenta­ tion order for leaming may depend on other factors such as type of concept leaming and complexity. In general, we may conclude that the most effective presentation order depends on the similarity of cues, the complexity of the task, the amount of information to be retained.

One dilemma posed is that complex problems are lik e ly to have much in ­ formation to be retained. This means that both simultaneous and suc­ cessive presentations could be helpful. The writer believes that be­ cause media should make discrimination and memory easier, we may find 181 that both presentation orders are often called for within one presenta­ tio n .

Perceptual Principles

Another aspect of designing for effective cuing is utilization of perceptual principles. Although, the subject is too extensive to consider in detail in this study, the audiovisual specialists should be aware that it is important to understand basic findings on perception.

Some of these findings are available in the September-October,

1962 issu e of Audiovisual Communication Review, "Perception Theory and

AV Education" edited by Kenneth Norberg. (Norberg, 1962) Others are presented in "Perceptual Principles and Audiovisual Practices" by

Malcolm Fleming. This a r tic le appeared in the Spring 1964 issue of

Audiovisual Communication Review. (Fleming, 1964)

Malcolm Fleming starts with the proposition:

Objects or events that are close together in space or time or resemble each other tend to be apprehended as parts of a common stru ctu re.

He interprets this perceptual principle as meaning we cannot keep the elements we have selected to attend to apart "as separate and equal perceptions; rather, we are busy organizing them into meaningful whole or structures that we might call ideas or concepts." Relating his in­ terpretation to educational media design he restates the proposition as follows:

Objects, events, or ideas that need to be associated in order to facilitate the learning of a concept should be so fitted into the structure of the medium as to occur close together in time, and/or close together within the space of a particu­ lar picture, and/or portrayed in such a way as to accentuate their relevant sim ilarities. (Fleming, 1964, pp. 76, 85) 182

He is saying that one perceptual principle to be considered is that

proximity and similarity can lead to association*

Channel U tiliza tio n

Channels are the sense modalities by which the characteristics

of concepts are perceived* The effectiveness of a channel depends on

the amount and type of information to be transmitted• Channels can

help discrimination and can supply redundancies which reinforce. While

the utilization of channels to the central nervous system is not as

critical as how the information is handled by the receiver, correct

u tiliz a tio n o f channels can maximize transm ission.

Some important questions about channels as they relate to

cuing are:

1. When is one channel superior for cuing?

2. When are multichannel presentations superior to cuing?

3. What conditions influence the effect of channel utiliza­

tion on cuing?

The answers to these questions and other conclusions about channel utilization gleaned from the writer's survey of the literature follow.

Only a few conclusions are presented because the w riter did not find additional conclusions substantiated well enough to be acceptable.

1. The superiority of one channel over others depends on the

learner's experience, on the nature of the information and

on the use to be made of the information. To present ex­

treme examples—it is clear that if the information deals

with the speaking of a foreign language, the auditory

channel is probably b etter. Music is usually better

learned when presented auditorially. A deaf learner 183

finds visual presentation better. The use of a single

channel emphasizes the characteristics of that channel.

For example, the use of silent film emphasizes the visual

characteristics of a scene.

2. Regardless of the channel or channels chosen, the effective­

ness of cuing as related to channel utilization depends on

the extent to which the central nervous system capacity of

the learner is taxed. Overtaxing can lead to interference

and confusion (equivalence and error) and undertaxing can

lead to boredom and less than maximal learning. The effec­

tiveness of channel utilization depends on the amount and

form of information sent and on the capacity of the learner

more than it does on the type or number of channels used.

3. The more highly organized and meaningful the stimulus mate­

rial, the more effectively channels are utilized. The more

redundancy there is in the information channels, the larger

the amount o f transm ission which can be channeled e ffe c ­

tively. But the more redundancy there is the longer it

w ill take to transmit the information. And, the longer

it takes to transmit the information, the more likely the

learner i s to become confused due to the overtaxing of

h is memory.

4. When more information than can be handled is channeled,

selectivity and filtering occurs as well as errors and

equivocation. Equivocation is the tendency of the re­

ceiver to blur inputs. 184

5. The evidence suggests that in general, if used properly,

the audiovisual channel may be the more effective means

of communication than either the audio or visual channel-

With complex information a combination of audio and visual

can help discrimination thus keeping the presentation

clea r.

(Hsia, 1968; Gage, 1968)

Wayne Severin critiques the work of R. M- W. Travers, W. F.

Day and B. R. Beach, C. F- Hoban and E. B. Van Ormer and several other

researchers on multiple channel transmission of information- Severin

is perceptive enough to see that there is more complexity to the trans­

mission of cues than has been studied.

R. C. Travers concluded from h is research on nonsense s y lla ­

b les th at two channel communication of redundant information was not

more efficient than one channel communication. In his experiments

Travers compared the effects of the audio, the visual and the audio­ visual modes of presentation. The subjects were given a tape recorded presentation of nonsense syllables or common words, a filmstrip presen­ tation of nonsense syllables or common words and a sound filmstrip presentation of nonsense syllables or common words. (Travers, 1967, pp. 107-109)

Observing that Travers’ conclusions apply specifically to simple redundancy situations, Severin stresses the need to compare the operation and e ffe c ts of cue summation and stimulus generalization in single and multichannel transmission when a variety of redundant and nonredundant situ a tio n s is used. (The cue summation princip le predicts that learning is increased as the number of available cues or stimuli 185

is increased.) (American Education Research Association, 1968, p.

121)

On the basis of his survey and critique Severin makes the fol­

lowing predictions about the utilization of single-channel communica­ tion as compared with multi-channel communication. His predictions

are quoted below.

a. Multichannel communications which combine words with related or relevant illustrations will provide the greatest gain be­ cause of the summation of cues between the channels. b. Multichannel communications which combine words in two chan­ nels (words aurally and visually in print) w ill not result in significantly greater gain than single-channel communica­ tions since the added channel does not provide additional cues. c. Multichannel communications which contain unrelated cues in two channels w ill cause interference between channels and result in less information gain than if one channel were presented alone. d. Single-channel communications w ill be superior to condition c (above), equal to condition b, and inferior to condition a. The efficiency of single-channel communications when compar­ ing various channels w ill depend upon the complexity of the material presented for a given audience, as already discussed. (Severin, 1967, pp. 241-44)

These predictions now need to be tested by research. We par­ ticularly need research on how the competent filmmaker can use the two channels to the best advantage. The competent filmmaker sometimes pre­ cedes video with audio and sometimes he follows audio with video. He can thus use the channel which gives the best transition or the most dynamic effect. (Spottiswood, 1963) Even when both channels are used, the competent filmmaker tries to use them complementarily, not just redundantly.

Compelling Stimuli

Because the success of a cue depends upon its commanding atten­ tion, techniques for making aspects of stimuli more compelling are a 186

factor in cuing. Among the means for making stimuli more compelling

are color, oral explanation (voiced emphases), novelty, contrast, size,

placement and attention-directing devices such as arrows, underlining,

labeling, motion.

Novelty is the presence of an unfamiliar element. It has been

accepted practice of advertisers to design presentations with elements

of novelty because these seem to motivate attention and help organize

retention. Although widely used, this practice is not well researched.

D. E. Berlyne (1951, 1957) carried out experiments on changing the

stimulus. The effects of prior experience were controlled by familiar­

izing the subjects with the stimuli to be used including the one to be

changed. His experiments showed that stimulus change increased attention. His findings are consistent with the principle that habitua­ tion decreases attention. Berlyne says it is important to understand th at w hile novelty can a rise from how a stimulus compares with the stimulus which immediately preceded it , it also depends on whether similar stimuli have been encountered previously. Surprise or the realization that a "known" stimulus has further information to offer can be the result of either of these conditions. Both reactions are phenomena indicative of increased attention. (Berlyne, 1965, pp. 249-51)

Using elements of contrast is another principle accepted in ad­ vertising. H. Nixon (1937) reports that "laboratory tests" found strong probability that the contrasting areas will be attended to first.

Examples o f d ifferen t ways to achieve contrast are ( l ) contrasting a white background with masses of black or heavy black lin e s , (2) spots of color against white or another color, (3) placing stimulus material in such a way that it is framed by a substantial area of white space. 187

(4) using white against black, (5) bordering with a contrasting color,

(6) crossing heavy lines or having them converge, (7) using unusual

angles, (S) using unusual types of lettering or positions for lettering.

(Travers, 1967, pp. 230-34)

Color as a cuing factor can be expected to follow the principle

that stimulus intensity can affect attention (see pages 100-104).

Bolder or more intense colors often seem to advance and dominate a

v isu a l. This can be changed by the element of contrast. In a boldly

colored field a small pastel area may be the element which commands the

most atten tion . A. A. Lumsdaine notes th at the general value o f color

for increasing leaming through attractiveness or strikingness has been

overrated. (Gage, 1963)

Additional light is shed on color as a cuing factor by research

on the old problem of which of the conceptual categories—shape, color, number—is the easiest to use for conceptualization. Heidbreder's

(1946-1949) in vestigation o f the dominance of concepts as objects of preference for categorization found that color dominates over object outlines. In her investigation Heidbreder used the categories: ob­ jects, forms, colors, numbers. For colors she used a few very distinc­ tiv e intense hues. This color dominance could be expected to change as colors became muddier and o u tlin es remained strong.

Color does not seem to be, in general, as satisfactory a cue for classification as is meaning. W. A. Bousfield, J. Esterson and

Q. A. Whitmarch examined recall of twenty-five color slides that could be organized by color or conceptually by meanings, i.e ., classes such as birds, fruits, etc. Both college and grade school subjects grouped 188

their responses more frequently by conceptual meaning than by color.

(B ou sfield , Esterson and Whitmarch, 1956)

Research on film learning and on associative code learning has

shown a color presentation to be no more helpful than a black and white

presentation. (Crannel, 1964) When color is essential to cuing the

discrimination as in the required color for a signal flag, it is, of

course, advisable to use color. The designer should be careful to use

color to attract attention to relevant stimuli.

Color can aid or hinder discrimination. When color becomes

d istr a c tin g , reduces contrast or adds unwarranted complexity, i t

hinders discrimination.

A major problem in drawing final conclusions about the value

of color for cuing is the lack of research on using color in specific

ways. Most of the research on color has concentrated on comparing

color with black and white. This research has found that although

there seem to be no (or insignificant) learning differences due to

using color instead of black and white, color is preferred by most

learners. Older children prefer soft colors, younger children, bril­

liant colors. Research is needed most on the findings of A. W.

VanderMeer (1952, 1954) th at color was slig h tly b etter for delayed

retention. It seemed to reduce the rate of forgetting. (Travers,

1967, pp. 38-48)

Labeling is an attention-directing device. Daniel Lynch

researched concept identification as a function of the frequency

*Complexity can be a desirable factor in learning. I t can be a challenge to some. See pages 113-14, 223. 189

with which a subject has encountered a given label. In his experiment

Lynch took his high frequency labels from one-syllable nouns occurring

in Part IV of £• L. Thorndike's Teacher’s Word Book of 30,000 Words

(Thorndike and Lorge, 1944). Low frequency labels were nonsense words

o f triad-consonant combinations taken from a l i s t compiled by Under­

wood and Schulz (Underwood and Schulz, 1960, p. 319). For example,

under the slide presenting the concept "one or circle" would appear

HAND or XgF.

High frequency labels seem to facilitate concept learning when

there is no previous training on the concept. Conversely, low fre­

quency labels facilitate concept learning when prior training on the

concept has occurred• Lynch speculates that after the learner has had

experience with a task the high frequency labels serve as a distractor.

(Lynch, 1966, pp. 3, 7-8, 12-13)

Another atten tion directing device is movement. Diagrams seem to be more easily understood on television when movements are added.

A major study on other attention-directing devices was con­ ducted by A. W. VanderMeer and H. E. Thome. (VanderMeer and Thome,

1964) VanderMeer and Thome investigated means of improving cuing in filmstrips. The changes which produced significant differences in more than one of VanderMeer and Thome's experiments include greater iconicity, left to right reading arrangement, adding arrows or making arrows more prominent, addition of symbols such as dates, changes in captions, especially capitalization and underlining.

Iconicity means more concrete representation. A more realis­ tic , less abstractly symbolic representation is substituted when greater iconicity is used. The results suggest that among the most 190

useful methods for making stimuli more compelling are the attention-

directing devices of arrows, underlining and capitalization»

VanderMeer and Thome’s study should be replicated with other

media and also extended* Different attention-directing devices should

be especially suited to different media.

Abstraction

The abstraction factor in cuing means the amount of abstract­

ness which is desirable for effective cuing. Abstractness refers to

the amount of realism or concreteness in a cue. It can also refer to

the generality or specificity of cues. Often the abstractness of cuing

is seen as measured on a pictorial-verbal dichotomy. The question is,

’’How abstract should the cue be?”

The dilemma posed by the necessity of deciding on how abstract

a cue should be resu lts from a c o n flic t between the need to maximize

tran sfer and the need to focus learn in g. The need for transfer sug­

gests that it is desirable to teach students in situations as similar

as possible to ones in which they w ill be expected to use their

learning habits. This reason is given for choosing realistic cues which are less abstract than other cues. (Realism in a photograph is

s till an abstraction.) On the other hand, realism can present so many irrelevant cues that more abstraction or focusing is desirable to maximize learning. This c o n flic t can be resolved by using both realistic and abstract cues.

When the dilemma posed by these conflicting principles ap­ pears to be acute, one way out should be to use the various at­ tention-focusing devices during the early stages of learning, and then after the student has learned to identify and respond to the relevant cues, gradually change the presentation in the direction of realism, eventually putting in all the distractions 191

and variations that he is likely to encounter in the real-life situation. ^Italics mine.] Similarly, when trying to build up a general concept, it might be desirable to fade from one con­ crete example to the abstract representation, and then to a different concrete example, continuing the process until the main dimensions of variability were covered. It can be seen that in many cases it w ill be easier to accomplish this by motion pictures than by any other technique. (Miller, 1957, p. 84)

Both realism and abstraction are needed in learning if error is to be avoided. A study on learning about the heart from drawings of more and less abstractness shows that learning was more efficient from the more abstract drawings. (Dwyer, 1967) Nevertheless, we would not expect a heart surgeon to operate without having seen more than a drawing of the heart. A map eliminates distractions but is of little value if not tied in with earlier, concrete experiences. A map is valuable if it can be "read" but confusing or meaningless if the sym­ bols lack a concrete referent in the mind of the reader.

When the learning to be cued is conceptual learning, the factor of abstraction holds special interest.

Often the actual object or piece of equipment may be too specific. We are interested in teaching a response which will generalize to a whole class of objects or situations. This generalization can be facilitated by using techniques, such as caricature and diagramatic sim plifications, to empha­ size the cues that are common to all members of the class, and to minimize or omit the cues that differ. (Miller, 1957, pp. 83-84)

One should not equate realism only with meaningfulness because ab­ stractness can also increase meaningfulness especially in concept learning.

In order to be retrievable from the human memory bank detailed material must be both abstracted and placed in a structured pattern.

Detailed material is conserved in memory by the use of simplified ways of representing it. These simplified 192

representations have what may be called a "regenerative char­ acter." A good example in long-term memory can be found in science. A scientist does not try to remember the distances traversed by falling bodies in different gravitational fields over different periods of time. What he carries in memory in­ stead is a formula that permits him with varying degrees of ac­ curacy to regenerate the details on which the more easily re­ membered formula is based. Sim ilarly, as Bruner points out, one does not remember exactly what Marlow, the commentator in Lord Jim, said about the chief protagonist's plight, but rather, simply that he was the dispassionate onlooker, the man who tried to under­ stand without judging what had led Lord Jim into the straits in which he found himself. (Cahners and Lagerman, September-October, 1964, pp. 18, 19)

When abstract cues are too difficult for the learner it is

not necessarily because they lack concreteness. Rather it is often

because they are hard to discriminate or because they have symbolic

meaning. In fact, abstract cues often have some concreteness, at

le a st enough for id e n tific a tio n . The problem i s explained by James

Deese.

Therefore, argues Baum, it is not necessary to say that an abstract concept is more difficult simply because it has less perceptual thing-guality about it (as Heidbreder seems to imply), but rather because an abstract concept is generally embodied in specific instances that are less easy to discrimi­ nate from those of other concepts. Thus a child has less dif­ fic u lty learning the concept of "tree" than th at of "weed," because trees are more discriminable from other growing th in gs. (Deese, 1958, p. 295)

Toshibuma Taba studied the effects which cues at different levels of abstraction have on concept formation. He also studied the interaction of set for abstraction and level of abstractness in cues. (Taba, 1964, pp. 446-47) In order to find out at which moment of the concept forming process these cues at different levels of ab­ straction operate as effective stim uli, Taba prepared cues comprised of letters, of an abridged picture, of a color photograph. Using these cues as stimulus variables he investigated their relative 193

effectiveness with third, fifth, seventh and ninth grade students. The

concept learning task was paired associate learning. The sketches and

color photographs were more effective than the letter presentation,

particularly with the lower grades.

In another experiment objects were presented by means of the

three types of cues. Objects presented by photographs and pictures

are found to be c la ssifie d by th eir function, color or form; whereas

objects presented as verbalization by letters were classified most

often by the type of objects they were. For example, pictures and

photographs of a baseball would be c la ssified as showing a round ob­

ject, as showing a white object or as showing an object for throwing.

The word "baseball" would be classified as a term for a type of ball.

In the third experiment, Taba wanted to leam how sets for

different types of abstraction interacted with cues at different

levels of abstraction. Subjects were first made to establish a set $ to abstract functions, or attributes or genus. After this preliminary

establishment of set, the subjects were made to form another set for

abstraction by being exposed to a presentation and test situation which used as cues: drawings, photographs or letters. What Taba was in terested in knowing was what types of sets would be easy to

change with a type of cue. Would a set for genus persist in the face of concrete and visual cues?

Taba described his interest as being in the factor of per­ sisten ce of cue in the abstraction process. He found that a set to abstract the functions and attrib u tes of objects was hard to change in the case of concrete and visual presentation (drawings and photo­ graphs). It changed more easily with the letter presentation. The 194

set for abstracting genus was hard to change with a letter presentation

but easy to change with a concrete and visual presentation.

What meaning do Taba's findings have for th e media designer?

They suggest f ir s t th at the type of concept to be formed should in ­

fluence the type of cue used. Verbal cues seem to be best suited for

older learners and for developing concepts of types within categories.

V isual and concrete cues seem to be more suited for young learners and

for concepts of function and of attributes. The set for genus does

not persist well when concrete and visual cues are presented. It per­

sists better when letter cues are used. A set for attributes or func­

tions persists with concrete and visual cues and changes easily with

letter cues. For example, letter cues seem most suited to the learning

of genus concepts. Drawings and photographs seem most suited to the

learning of attributes and functional concepts.

Prompting

Prompting is accomplished by adding cues designed specifically

to induce immediate responses. In programmed instruction the prompting

cues usually added are constructed so that they make the correct re­

sponse more lik e ly . Prompting cues can take the form o f questions,

models for imitation and directions for practice.

An effective method of prompting for learning of lengthy se­ quential tasks is the implosion technique. With this technique a model for imitation or task representation is filmed. The film treat­ ment is to display the parts, followed by a rapid succession of

"stills" of each part placed in its appropriate place in the assembly, so that the parts appear to "jump into place" in sequence. In pro­ viding models for imitation, slow motion photography has been found 195

to be more effective than normal speed photography. Films are more

effective than s till pictures for prompting motor skill response prac­

tice. This conclusion is the result of an experiment on learning to

tie knots. With other tasks still pictures might prove to be the more

e ffe c tiv e medium. Animation has also been found to make prompting in

films and transparency demonstrations more effective. (Gage, 1963,

pp. 629-31)

In general, prompting without overt practice has been found to be the most su ccessfu l approach to learning because there is le s s

interference caused by delay. The nature of the learning task will qualify this conclusion. There is a need for overt practice in some ta sk s, such as motor s k ills . Even in motor s k i l l ta sk s, however, some prompting of covert responses before overt responses seems to be helpful.

Another important finding is that incomplete prompting is more e ffe c tiv e than complete prompting. Complete prompting would be prompting on every trial. Incomplete prompting on learning from a

"textbook with tape recording" lesson in French might give several visible and audible models of French pronunciation and direct the student to imitate the pronunciation. At other points in the lesson the student might be instructed by the book without audible prompting and eventually given the task of writing a sentence using the words previously pronounced.

Another means of incomplete prompting in this situation is to direct the learner to repeat the response several times without prompting. Incomplete prompting could also be prompting by hints as to the correct answer on only three-fourths of the trials in the 196 programmed instruction lesson. Vanishing is a technique of prompting developed in research on programmed instruction design. Vanishing in­ volves the "fading out" or reduction of cue supports as the learning progresses. The value of vanishing has not been established by evi­ dence.

The important guidelines on prompting which can be formulated are to prompt covert practice even if overt practice is necessary and not to prompt every response. (Gage, 1963, pp. 624-31)

II. Stimulus Factors

The Medium

Factors: Forms o f. Unique C haracteristics o f. Type o f Experience Pro­

vided, Limitations of. Utilization Problems

The w riter uses the word "media" with the meaning o f any de­ vices used for message transmission including aids such as bulletin boards, and systems such as television. Guidelines for the choice of media identify the characteristics which a medium contributes to con­ ceptual communication and present this information so that different media can be compared. Two attempts to give guidelines for choice o f media are Edgar Dale's cone of experience and Marshall McLuhan's hot- cool continuum.

The Cone of Experience

Dale's cone of experience is reproduced in Figure 24 on the following page. The cone of experience is based on the idea that media can be classified on a concrete-abstract dimension. Although the cone is a useful ordering device, it has limitations which should be kept in mind. First, there is no pure medium. Each medium employs other media. 197

Abstract A

Verbal Symbols

Visual Symbols

Recording and Radio Still Pictures

Motion Pictures

T elevision

Exhibits

Field Trips

Demonstrations

Dramatized Experiences

Contrived Experiences

Direct, Purposeful Experience

Concrete

Fig. 24.—The Cone of Experience (Dale, 1946) 198

Television uses s till pictures and film. Motion pictures use drama­

tized experiences. Visual symbols are used in exhibits. Television

uses demonstrations. Because media are not pure, it is to be ex­

pected that media w ill often offer both abstract and concrete expe­

riences .

Secondly, it should be kept in mind that the concrete-abstract

continuum applies only to a limited extent. Demonstrations can be

either abstract or concrete depending on whether the subject is mathe­

matics or home economics. Visual symbols can be either or both ab­

stract and concrete.

Third, the cone im plies a continuum of a more complete to a more selective experiencing. However, a student can make a direct, purposeful experience more selective by concentrating on one aspect.

Conversely, a motion picture experience through photography can am­ plify and add several realistic aspects so that the experience is more complete and realistic than any direct experience might have been. In some ways, a war film is a more complete experience than combat duty might be. The camera can permit you to w itness more than you can or­ dinarily see. Time lapse photography can extend the senses. Media can extend the sen ses.

Fourthly, the cone, because it was originally published in

1946, leaves out many new media such as overhead projection and pro­ grammed in stru ctio n s. I t i s tru e, however, th at such media would be difficult to classify on a concrete-abstract continuum because they can include so many other media. Both overhead projection and pro­ grammed instruction can use photographic skills; both can use visual and verbal symbols. 199

F ifth , a major problem i s the equation o f concrete experiences

with realistic experiences and of abstract experiences with symbolic ex­

periences implied by the cone. As mentioned, concrete experiences can

be symbolic and abstract experiences can be realistic. A film can

present a very generalized or abstract interpretation of a type of

personality very concretely and realistically. That characterization

is an interpretation which is both concrete and symbolic. A demonstra­

tion of inertia can be a representation of an abstract principle as well

as a representation o f a r e a lis tic phenomenon. Abstract experiences oc­

cur with media on all levels of the cone. Similarly, a portrait photo­

graph is a r e a lis tic visu a l symbol which can represent a type o f person

—an abstraction.

A sixth problem is that the cone does not present characteris­ t i c s of media which can provide a b asis for choice o f media other than the type of conceptual experience contributed. In the cone all general categories of experience are placed at different levels. At the base are rich, personal sensory experiences, at the apex are the highly ab­ stract symbolic experiences. The cone also proceeds from the more di­ rect to the more indirect experiences. The cone, therefore, indicates level of abstractness, amount of direct involvement, type and amount of symbolism. It does not indicate characteristics such as the refer- ability of different media, such as the availability of past cues with print media, or many of the unique advantages and limitations of d if­ ferent media which are important considerations in conceptual communi­ cation.

There are reasons other than type of experience for choice of media. With the advent of programmed instruction education began to 200

incorporate many media experiences within one learning experience. This

integration of film clips, textbook reading, simulated experiences such

as laboratory experiences and charts, for example, makes simply classi­

fying the type of (abstract or concrete) experience associated with a

media helpful but inadequate. We are trying to provide a variety of

experiences. The need is to know which types of concrete experiences

are most suitable and which types of abstract experiences are most

su ita b le.

Finally, the cone suggests that direct experiences are experi­

ences which are experienced without intervening description and that

indirect experiences are more vicariously experienced. This is a dif­

ficult distinction to maintain because only direct experience can be

said to be completely free from intervening description which makes

them vicarious. All of the other levels of experience could be clas­

sified as vicarious and often as equally vicarious. The direct-

indirect dimension of the cone is therefore hard to maintain.

In conclusion, it should be noted that the cone is not without

its value. It clarifies the type of experience usually provided by each medium. It suggests the abstractness of symbolism and its rela­ tion to media. The more symbolism in the media the more abstract the experience seems to be. The cone is especially valuable for empha­ sizing the need for abstract media experiences to be reinforced by more concrete experiences and vice versa.

The cone is relevant to current theories of curriculum design.

Its progression follows closely the discovery learning, guided dis­ covery learning, reception learning continuum. Contrived experiences 201

are simulated experiences such as laboratory experiences and thus could

be called guided discovery.

The cone also follows closely the enactive (action), iconic

(image), symbolic (word) categories of Jerome Bruner. According to

Bruner, the course of cognitive growth proceeds from enactive through

iconic to symbolic so learning experiences should proceed similarly

from abstract to concrete to abstract. All children need to leam to

make transitions between these different forms of representation.

(Bruner, 1964)

The Hot-Cold Continuum

Marshall McLuhan has attempted a classification of media char­

acteristics, especially of the characteristics of television, in

Understanding Media. (McLuhan, 1964) He speaks of a hot-cool con­

tinuum on which media can be located. By cool medium he means a

medium that has low definition and contrast. Definition is the sharp­

ness (the resolution) of the image transmitted. Contrast refers to the extremes o f tone which can be grouped by the media. The more ex­ treme the tones which can be grouped th e greater the contrast. A medium which is cool invites the audience to fill in the image. It transmits best the personality of those who allow the audience to fill

in their image. Those whose personality is too strongly explicit are no longer interesting. In fact, because they are using a cool medium hotly, their message seems more exaggerated than it would on a hot medium because it contrasts sharply with cooler messages. McLuhan describes television today as a cool medium. Radio today is a hot medium. I t extends speech, a cool medium. 202

He says, however, that the hot or cool effect of a medium is

dependent on the way in which a culture uses a medium, not just on the

content presented or on the inherent characteristics of the medium.

In the highly visual cultures that constitute the Western world, the stepping up o f the auditory component had complex resu lts for the other senses and other media. Everybody is fam iliar with the strong effects of the sound track on the movies. The radio was added, as it were, to the moving picture. An auditory image of high resolution or high definition was introduced. It became necessary to step up the intensity of the visual image as well. One casualty of th is event was Charlie Chaplin. His complex mask was made up of components in low resolution or d efin itio n . When the visu al component was in te n sifie d , h is mask dissolved . In the same way the sound track destroyed Russian film art. The Russian film form also depended upon low visu a l resolu tion . It never recovered from the electric sound track. The sound track, in a word, is "hot" because it offers an auditory image of high resolu tion , and th is is what con stitu tes a "hot" medium. By con­ trast, a "cool" medium is one in which the sense in question is offered in low definition or low resolution. An instance of this is handwriting as compared with printing or telephone as compared with radio or television as compared with movies or photographs. When the image is of low resolu tion , a ll o f the other senses rally to strengthen it, creating an effect of much participation and involvement. (McLuhan, AVCR, Summer, 1964, pp. 136, 135)

It is McLuhan’s thesis that the medium is the message. By

this he means that the media gives the message its characteristics.

The relevance of McLuhan's thesis for instructional design is that the medium chosen needs to be suitable for the subject matter and needs to be used suitably. The characteristics of the media will give the concepts communicated hot or cool characteristics. When the medium is used unsuitably, for example, when a cool medium is used in a hot manner, the communication may be distorted and may be unfavorably received.

McLuhan's hot-cold or le v e l of d efin itio n continuum i s useful for suggesting characteristics of media. His analysis of the broad­ cast media and their impact is particularly provocative. Perhaps cool 203

media are more suited to education or general conceptualizing and hot

media are more suited to training or more specific learning. It is

doubtful that such a distinction could be maintained consistently, but

its general applicability deserves researching.

Although McLuhan's ideas are provocative, it is difficult to

apply the hot-cool continuum for reasons similar to the reasons that

it is difficult to apply the cone of experience. Again, the way a

medium is used, as well as the nature of the medium can determine the

relative hotness or coolness of a medium. The image transmission of

radio can be poor enough to be cool even in today's cu ltu res. How

does one categorize the film made for movies and now shown on televi­

sion? The medium is cool yes, but the original design was for a hot

medium. Does this mean the message is warmer than that of a film made

for television. It is difficult to say because the message is more than th e medium.

McLuhan is only partially right. The message is also the sub­ ject matter, the receiver's mood, the treatment, the images used and many other factors. The message consists of design and external trans­ mission characteristics which give it certain systematic (technological, environments, educational), sensory (reproduction, distribution), sym­ bolic (verbal, nonverbal), and temporal (sequence, rate) properties.

A message also consists of internal manipulation and response characteristics which give it certain other systematic (learning, growth), sensory (modality), symbolic (imagery and verbalization) and temporal (recall, attention, anticipation) properties.

Another problem with McLuhan's work is that the characteris­ tics are not sufficiently concise to make them very useful to the 204

message designer. The message designer must infer them from his reading

of McLuhan and make his own concise notes from his reading before he can

proceed to apply the characteristics.

The writer believes that the most important considerations when

choosing media should be the type of experience provided , the unique

characteristics of a medium and the relative practicality of a medium.

The designer needs to consider the advantages and limitations of a

medium and the suitability of various forms of that medium. It should

be remembered that all media experiences are symbolic, realistic, ab­

stract and private to some extent. Nevertheless, some are more purely abstract and symbolic; others are more realistic. Some experiences are exclusive to an individual while other experiences are shared with a group. Some experiences originate with the individual. These are the more direct experiences. Others originate with an interpreter or

"translator." These are more vicarious experiences. Using somewhat arbitrary categorization criteria, then, the type of experience pro­ vided can be verbal, visual or multichannel abstract or concrete, private or shared, direct or vicarious. The answers to questions such as the following can indicate the types of experience which should be provided:

1. Does the student need a visual, audio or audiovisual

concept?

2. Should the concept formed be a personal discovery?

3. Will the concept have concrete meaning for the student?

The type of experience provided should be responsive to students' con­ ceptual needs. 205

By unique characteristics the writer means the attribute or

a ttrib u tes which make th is medium's most d istin ct contribution to edu­

cation. This characteristic is inseparable from the medium. There are

some characteristics of a medium which make it difficult to accomplish

a certain goal. In Table 6, these characteristics are shown as the

limitations of the medium.

The theories of McLuhan and Dale and of the writer are incor­

porated in Table 6, which charts the comparative characteristics of

media concisely. The reader may use the chart as a basis for choosing

the most appropriate media and forms. It should be remembered that a

medium need not provide the type of experience listed. The experience

listed is the type of experience most easily presented through this

media.

Table 6 may be criticized on many of the grounds on which Dale's

cone of experience and McLuhan's hot-cool continuum have been criti­

cized. Table 6 does, however, add specific characteristics of media

not present in D ale's and McLuhan's guidelines for comparing media.

How does choosing a medium by distinguishing between media

characteristics apply to conceptual communication? The answer is that th e type of meaning of a concept may depend on the type of experience

(abstract and concrete) it is associated with. Furthermore, the sym­ b o lic form of the concept can be determined by the medium chosen. For

example, radio w ill communicate verbal information in audio form. More­ over, the various media can contribute unique q u a lities to concepts such as ordering or grouping, coding, lack of motion, continuity, editing of reality, intimacy, immediacy, involvement in environment, emotional in­ teraction. Finally, one medium may often be inadequate for accomplishing TABLE 6

A COMPARISON OF MEDIA CHARACTERISTICS

Unique Medium D escrip tion Forms Characteristic(s) Type(s) of Advantage(s) Limitation(s)

D irect learning by laboratory and responsible m u lti­ more lik e ly tim e con­ E x p e r i e n c e doing and by field experi­ involvement with channel; to transfer suming , not contact with ments , j o b s, environment concrete; to real life e a s ily r e ­ environment field trips d ir e c t s itu a tio n s produced

Drama interpreta­ puppet shows, acto r and audio, physical reproduca- tio n o f sociodrama, audience v is u a l, or proxim ity b i l i t y a ctio n psychodrama, interaction audiovisual; which leads lim ited rea d in g s, concrete; to emotional pantom ine, v ic a rio u s involvement p agean t, plays, shows

Television transmission videotape. small group audio­ immediacy, low defini­ o f vid eo and l i v e , intim acy v is u a l; d ir e c t tio n and audio over closed cir­ concrete; address sm all great d is ­ c u it , v ic a rio u s screen at tan ce in str u c ­ presen t; t io n a l , co st educational, commercial

Motion a ctio n 8 mm, 16 mm, continuity , audio­ can rev ea l a t p resen t P ictu res recorded 35 mm. Super 8 , illusion of v is u a l; what is not development on film cinemascope, motion, time concrete; o rd in a rily tim e e tc . fo r p ro- Todd A -0, and place v ic a rio u s perceived ; preven ts je c tio n educational, relationships immediacy; too co st o\ TABLE 6—Continued

Unique Medium D escrip tion Forms Characteristic(s) Type(s) of Advantage(s) Limitation(s)

documentary, can abstract k in esco p e, yet maintain theatrical, r e a lit y film -lo o p , c a r tr id g e , anim ation, single concept or open-end

S t i l l p ic t o r ia l overhead lack of motion; v is u a l; suspended in lack of audio P ictu res p resen ta­ transparencies, highly evocative abstract; tim e fo r tio n s illustrations, for individual v ic a rio u s stu d y, a r­ w ithout opaque, rested motion projections, motion (excep t flat pictures, fo r po­ 35 mm slid es, larization ; lantern slides, overlay) film strips, photographs

Radio tran sm is­ netw ork, immediacy audio; person to fast and un- sio n o f two way, a b stra ct; person retrievable sound over te le p h o n e , v ic a rio u s intim acy seq u en tia l d ista n ce telegrap h presentation

Recordings sound plastic disc, audio audio; e d itin g lack o f reproduc­ magnetic tape, f i d e l i t y a b stra ct ; p o s s ib ili­ v is u a l tio n which magnetized v ic a rio u s t i e s can be s t e e l w ire ND stored 3 TABLE 6—Continued

Unique Medium Description Forms Characteristic(s) Type(s) of Advantage(s) Limitation(s)

D isplay arrangement e x h ib it s , grouping that v is u a l; referability space Boards of material chalkboard, relates elements a b stra ct; which pre­ magnetic board, v ic a rio u s sen ts th e fe ltb o a r d , same message bulletin board, design con­ hook and eye tin u o u sly board , study d isp la y

Graphics su ccin ct sk e tc h e s, coding that visual; a llow s one req u ires and c lea r cartoons, clarifies, abstract; to handle a ability in presentation diagram s, condenses— vicarious great deal interpretation o f id eas p o s te r s , provides of informa­ — one must through graphs (line, cond ensed t io n in an know: how to combination bar, circle), m odels, organized or read a bar or o f words, charts form u las, m eaningful line graph, pictures and (organization paradigm s, manner the distor­ drawings stream, line, g rid s tion caused flow ) by different animated methods o f ca rto o n s, map projec­ maps t i o n , th e sym­ bols used in cartoons

Printed c a r e fu lly programmed w ritten v isu a l; in d iv id u a l abstractness Materials constructed instruction, language a b stra ct; study verb al book, v ic a rio u s m aterials tex tb o o k , to reproduced workbook, § for reading worksheets, flash cards 209

a ll of the needs of a particular conceptual communication situation.

When th is occurs Table 6 can suggest what media w ill complement each

oth er.

The Content

Factors: Instances in Content, Attributes of Instances, Amount of

Content, Approach to Content

One of the reasons that it is impossible to equate the media with the message is that content variables also determine the charac­ teristics of a conceptual communication. The content of a message is the body of meanings that are transmitted by the symbols used in the message. The theme of the message may be called the primary content.

Secondary content presents the minor ideas or themes. It is important that the secondary content not tend to distort or weaken the primary content but clea rly support the primary content. (Our American H erit­ age, May, 1963, pp. 7-10) The materials designer must select and ar­ range the symbols and signs that will be conveyed to the learner. The material selected is the content. The way in which the material is ar­ ranged can determine what content is primary and what content is secondary. Content variables which can offer guidelines for influ­ encing the characteristics of a communication are; instances (positive and negative), attributes (relevant and irrelevant), amount of content

(simplification and complexity), approach used (treatment and struc­ tu rin g) .

Instances in Content

Instances d iffe r from attrib u tes by being embodiments of a whole concept, not Just of part of a concept. Instances are examples used to 210

illustrate what the concept is or is not. James Deese has defined posi­

tive and negative instances as follows:

Positive examples are instances of the concept and include the essential characteristics- Negative examples are instances of what the concept is not and may lack one or more of the neces­ sary characteristics. (Deese, 1958, p. 295)

The aspects of instances used which are significant for the media spe­

cialist are the ratio of positive to negative instances, the order in

which positive and negative instances are presented and the number of

instances used.

Laboratory research reports that using only positive instances

is the quickest and most successful approach, except when disjunctive

concepts are to be formed.* Using a combination of negative and posi­

tive instances was found to be almost as effective as using positive

instances only. Using negative instances was the least successful ap­

proach except when the concepts to be formed were disjunctive. In

that case, it proved to be the best approach.

Reasons offered for the general superiority of the positive

instances only approach were (l) because this approach is well suited to the type of concept most commonly formed, the conjunctive concept,*

(2) because students have had less practice in negative concept forma­ tion, (3) because positive instances present more pertinent information than negative instances and (4) because the defining attributes are

*Disjunctive concepts may be defined by one or more of several a ttr ib u te s. Sometimes one set o f signs serves as a cue and sometimes another set of signs serves as a cue. For example, a "walk" occurs either when four balls have been pitched or when a pitched ball strikes a b atter. Conjunctive concepts are defined by a combination of attributes which must always be present. For example, in order to be a registered voter one must be over twenty-one years of age and a citizen of the United States. 211

discriminated for the learner in the case of all positive instances (in

all negative instances they must be discriminated by the learner). None

of these reasons has been definitely established to be a cause of the

success of the positive instances only approach.

Because real life situations seldom present a positive in­

stance only approach, further research is needed before this approach

can be advocated. Research is still needed to compare the effective­

ness of the positive instances only approach and the combination of

negative and positive instances approach in producing learning which

transfers to real life situations. (Blout, et , 1967 , p. 37) The

superiority of the negative and positive instances approach when trans­

fer instead of acquisition is the criterion has already been docu­

mented by laboratory research by A. Masilela (1964) and by V.

Freibergs and E. Tulving (1961).

Nancy Smuckier (1967), however, reported her laboratory re­

search indicated that tran sfer as w ell as acq u isition improved as the number of positive instances used increased to 100 per cent. The con­

flict between study findings might be due to Smuckler's use of second graders as subjects while the previous researchers used college stu­ dents. (Smuckler, 1967, pp. 19-21)

Negative instances are examples of what the concept is not.

They are "non-examples." A fifth grader is a negative instance of a registered voter. Negative instances seem to be most e ffe c tiv e when subjects have training in using negative instances for concept forma­ tion, when a ll negative examples are presented simultaneously and when negative examples are distinctly different from positive examples, yet related to each other. When the set of possible defining attributes 212

is large as it often is in disjunctive concepts, negative instances can

serve to define the larger set of stimuli and to teach students to rec­

ognize errors. Although all negative instances is the least successful

approach with concepts other than disjunctive concepts, many people are

able to leam to identify a concept from all negative instances*

So far evidence indicates that increasing the number of posi­ tive instances facilitates performance more than does increasing the length of time spent learning from fewer instances. (Bourne, 1966, pp. 54-56, 115, 116; Travers, 1967, pp. 203-204) Research has also shown that the point of diminishing returns, that is the point beyond which adding further positive instances did not facilitate learning significantly, depends on the difficulty of the material and the in­ te llig e n c e of the learner. (M iller, 1957, p. 96) Concept acquisition is also affected by the degree to which positive instances of the con­ cept occur contiguously. (Klausmeier and Harris, 1966, p. 41) This means that the closer together in time or space the positive examples are presented the greater the likelihood of concept acquisition.

The data suggest, in sum, that generally a designer of media presentations w ill facilitate learning and transfer most when he includes both negative and positive instances (examples), when 50 per cent or more of the instances he uses are positive and when he uses negative instances effectively. Presenting positive instances con­ tiguously at some point in the presentation w ill help concept acquisi­ tion. The poorer the learner and the more difficult the material the more positive instances that should be used. Enough positive instances should always be used so that the concept is more than "gone over lig h t ly ." A d ifferen t approach i s best when disju nctive concepts are 213

to be communicated. Using all negative examples is the best means of

presenting disjunctive concepts. Negative examples which are distinctly

different from positive examples but related to each other should be

presented simultaneously in groups» Students should be given practice

in forming disjunctive concepts from negative examples»

For example, ideally, a presentation intended to develop the

conjunctive concept of what constitutes a balanced diet for adults

should use instances as follows:

1. Daily menus which include exactly two servings of grain

foods, two or more servings of protein-rich foods, four

or more servings of vegetables and fruits (rich in Vitamin

A and C) and an adequate amount of dairy food should be

presented successively or simultaneously*

2. Some negative instances should be presented simultaneously

as groups of menus unacceptable for the same reason.

3. At least 50 per cent of the instances used should be ac­

ceptable menus.

4. Enough p o sitiv e instances (acceptable menus) should be

presented to ensure over-learning.

Attributes of Instances

Dimensions have values which are called the attributes of a concept. Attributes could also be called the defining and non-defining characteristics of a concept. Defining characteristics are called rele­ vant attributes. Non-defining characteristics can be ignored in con­ cept formation and therefore are called irrelevant attributes. For example, a stimulus might be a red triangle on a white background; yet 214

the concept to be attained might be triangle in which case the dimension

shape would be relevant and the dimension color irrelevant.

The factors which determine the effect of attributes are (1) the

number of relevant attributes presented, (2) the number of irrelevant

attributes presented, (3) the intra- and interdimensional variability

o f the a ttrib u te s, (4) the redundancy of th e dimensions, (5) the s a l i ­

ence or obviousness of the attributes presented, (6) the subject's

ability systematically to eliminate irrelevant attributes.

The more attributes that a stimulus has (whether relevant, ir ­

relevant or both) the more difficult a concept is to master. This is

probably due to the increasing memory load and to the complication of

discrimination and identification of attributes. As a result of his

research on the concept attainment, Wayne Frederick plotted task dif­

ficulty as a function of number of relevant and irrelevant attributes

(see Figure 25).

5 / /

CO 4 CO 4 / 4 Irr e l X 3 Irrel 3 Rel / c t 3 S 3 / X / / c ^ ^ 2 Rel • r t •H

2 § 2 / •H X H

1

II I 0 1 2 3 4 5 (a) # of Relevant (b) # of Irrelevant

Fig. 25.—Difficulty as a function of number of relevant and irrelevant attributes. (Frederick, 1965, p. 16, Figure 4) 215

As you can see more difference is made by adding relevant information

than by adding irrelevant information. The reason for this is probably

that irrelevant information is quickly discarded. Frederick comments

that more research is needed before this effect and its cause will be

acceptably demonstrated. Early research by E. J. Archer, L. E. Bourne

Jr. and P. G. Brown (1955) indicates that while adding irrelevant dimen­

sions slows learning of both verbal and nonverbal concepts, increasing

the number of irrelevant dimensions does not have as much effect on

verbal concepts as on nonverbal concepts.

So far we have been talking about interdimensional stimulus

variability, "that is stimulus complexity manipulated in terms of the

number of different dimensions on which patterns vary." Attributes

may also have intradimensional variability. For example, stimuli for the concept rectangle could differ in position, size and color of rec­ tan gle presented. This would be interdim ensional v a r ia b ility . I f the

stimuli also varied in the shape of the rectangle, such as square or

oblong they would have intradimensional variability.

Intradimensional variability refers to the number of different patterns each dimension is permitted to assume. For example, does the dimension of the color blue vary in three or four shades of blue. And, how many kinds of triangles represent the dimension triangular shape.

Both relevant and irrelevant dimensions can take on intradimensional variability; only irrelevant attributes would take on interdimensional variability.

W. F. Battig and L. E. Bourne Jr. explored intradimensional stimulus variability in 1961 and observed a significant decline in performance with increases in either intra- or interdimensional 216

variability. (Battig and Bourne, 1961) The correctness of their finding

is plausible since as the number of different stimulus patterns increase,

the task should become more difficult because the memory load increases.*

As the variation between stimuli increases in any way, concept forma­

tion becomes more difficult. Nevertheless, the factor of intradimen­

sional variability does not seem to be nearly as critical as increasing

the number of irrelevant dimensions. For "performance got worse as the

number of irrelevant dimensions increased, regardless of the amount of

intradimensional variability."

While variability in attributes hinders learning, redundancy in

attributes can, if properly used, make learning easier. This is not

surprising when one considers that discrimination initially proceeds

from a base o f redundancy. Redundancy i s by nature "groupable";

whereas variability is antithetical to grouping. Furthermore, re­

dundancy reduces the amount of information that must be considered.

When it is used in research on attributes in concept learning problems

"redundancy" refers to a sp ecial type o f rep etitio n . When i t refers to

relevant or irrelevant attrib u tes "redundancy" means that the presence

o f one dimension w ill allow the learner to assume that another dimen­

sion is present.

If the stimuli used are either large and yellow or small and

red, then the attribute size is redundant. In other words if one saw

only part of the stimulus, one would still know the size because of

its color. Research on attributes has identified two types of

*The writer has dealt with the concept of memory burden several times. The importance of memory burden cannot be overemphasized. (See p p . 124, 191-92, 251-52) 217

redundancy: relevant and irrelevan t. I f a redundancy can be used as a

basis for identifying a positive example, it is relevant. If it cannot,

it is irrelevant.

Assume that you are trying to identify instances of the concept

"banana" (or to form the concept "banana") from the group o f stim uli

shown in Figure 26. The stimuli shown are photographs of apples and

bananas. Some of the photographs are close-ups which show life-size

fruit. Others are medium shots which show fruit smaller than life-

s iz e .

Concept: Banana

Stimuli: | | yellow

I H i red

» Attributes According to Type

Relevant Irrelevant

Redundant elongated spherical shape shape

yellowness redness

Non-redundant size position

number 1

Fig. 26.—Example of the relevancy and redundancy of attributes. 218

On the stimuli shown yellowness and elongated are redundant be­

cause whenever one appears the other appears. Thus in any given in­

stance either both redness and spherical shape are present as attrib­

utes or neither is present as an attribute. Size is non-redundant

because the attribute life-size cannot be predicted from any other at­ tribute such as shape, color, position or number. Size can be a rele­ vant a ttrib u te for identifying an actual banana. A learner who did not realize that size was important could mistake a wax bean for a banana or a cherry for an apple. Position and number are not helpful for identifying "bananas." They are irrelevant attributes. In another group of stimuli the attribute number might be relevant and the attrib­ ute size redundant. Figure 26 was developed by the writer.

Learning is influenced by the amount and type of redundancy presented in attributes. The interaction of relevancy, redundancy and number of attributes presented is shown in Figure 27 which was devel­ oped by th e w riter.

Relevant Irrelevant

w ill will interfere facilitate the least Redundant (1) (2 )

will interfere will interfere the most Non-redundant (4) (3)

Fig. 27.—Relative effect on learning of increasing attributes of different types. 219

If an increase in attributes presented is unavoidable because

the concept or stimulus involved is complex, the least desirable type

increase is (4). The most desirable type of increase is (l). And,

(2) is the second most desirable type of increase.

By comparing Figure 26 with Figure 27, the reader w ill be able

to understand what specific effects adding attributes or changing the

way in which attributes are used will have on learning to identify in­

stances o f the concept "banana." For example, in what way would

learning change if the photographs all presented life-size fruit.

Learning would be f a c ilit a t e d . What would be the e ffe c t o f making

one apple yellow? All apples yellow? Making one apple yellow would

increase the non-redundant irrelevancies. Learning would be hindered.

Making a ll the apples yellow would increase the redundant irrelevan­

cies and decrease the redundant relevant attributes. Making all the

apples yellow would make learning more difficult. S till, learning

the concept banana would be easier with all yellow apples than with

one yellow apple.

To give another example, suppose a teacher is using overhead transparencies to present each letter of the alphabet successively.

Would making each transparency a different color aid discrimination

or hinder learning? Because color is an irrelevant attribute the use

of a variety of colors would hinder learning.

Why would a person deliberately add redundant irrelevancy to a film or another form of presentation? If adding irrelevancies in­ terferes with learning why add them at all? A combination of negative and positive instances has already been recommended for increasing transfer. One cannot add negative instances without adding irrelevant 220

attributes. Sometimes irrelevant attributes cannot be eliminated from

positive instances because of presentation variables. Size may be ir­

relevant but the depiction presented must assume some s iz e . It appears

that it is possible to offset the detrimental effects of large amounts

of irrelevant information by making irrelevant information redundant

and by including redundant relevant information. (Bourne, 1966, pp.

54-60, 115-16; Klausmeier and Harris, 1966, pp. 40-41; Travers, 1967,

pp. 202-206)

M. H. Dentambel and L. M. Stolurow discovered that (l) displays

should be sequenced so th at when a relevant component changes from

display to display, the irrelevant component remains the same; (2) when

the relevant component does not change, the irrelevant component should

change. The writer had diagramed this conclusion in Figure 28.

Relevant Component Irrelevant Component

Situation 1 Changes Should not change

Situation 2 Does not change Should change

Fig. 28.—Successive Presentation Situations

For example, if a filmstrip is intended to teach the shape and appearance of cacti plants the illustration used should show either

(l) different types of cacti in the same setting or (2) the same type of ca cti in d ifferen t s e ttin g s . Figure 29, which was developed by the writer, illustrates two desirable successive presentation condi­ tio n s . 221

Film strip on Cacti (Situation l)

Film strip on Cacti (Situation 2)

Fig. 29.—Desirable Successive Presentation Conditions

Besides the factor of attribute redundancy, there is the factor

of concept salience to be considered in making decisions about media

presentation. Concept salience is the obviousness of a concept's dimen­

sions. It is the probability that one dimension of a stimulus will be

responded to rather than another. Obviousness depends on the dominance

of the attribute, on cuing factors and on learner variables. (Frederick,

1965, pp. 6, 18) Findings suggest that form is a more salient dimension

for men than for women. Size seems to be a more salient dimension for women than for men. One possible explanation offered for this finding is that women do not have the same labeling ability with respect to shape as do men. (Travers, 1967, p. 205)

Findings on the effects of the obviousness of attributes are not surprising.

. . . Archer (1962) found that when the relevant information was obvious, the subject had an easier time learning the concept and when the irrelevant information was obvious the task was more difficult. A further finding was that when the relevant 222

information was not obvious, it took significantly more time and errors to learn the concept, but when the irrelevant in­ formation was not obvious there was less of an inhibitory effect. (Travers, 1967, p. 205)

G. Davis, M. Manske and A- Train have studied the detrimental

effects of increasing the number of available response alternatives.

They found that "the e ffe c ts of th is variable can be greatly reduced by a systematic elimination of the various irrelevant alternatives."

(Davis, Manske and Train, 1967, p. 9) This study is pertinent because it suggests that training in systematic elimination of irrelevancies may reduce the effects of irrelevancies. The study now needs to be replicated with a task requiring elimination of irrelevant attributes instead of irrelevant response alternatives and with pretraining in systematic concept attainment procedures.

What important principles for selecting the stimulus attrib­ utes or characteristics to be incorporated in a message design can be culled and inferred from the findings just reviewed?

1. The fewer and the less variable the attributes (relevant

or irrelevant) presented, the more a message is likely to

facilitate learning. For example, suppose a teacher in­

tends to help students leam the phases of a moon by

putting on the chalkboard next to today's date, a drawing

of the phase of the moon on that day. Should she use a

different colored chalk for each phase or not? She should

not because she would be making color a non-redundant ir­

relevant attribute.

2. Try to define concepts to be learned with attributes that

are particularly salient (obvious) to the learner. Try to 223

present relevant attributes in an attention-attracting way.

The more relevant attributes are made to predominate the

more learning will be facilitated. Similarly, the less

distracting the irrelevant attributes are, the greater

learning will be.

Amount of Content

Guidelines for judging the amount of content to include in a

presentation can be formulated from findings on the effects of redun­

dancy and complexity.

I t has already been established th at the amount o f redundancy

in a presentation, whether of attributes or instances, is an important determiner of the success of a presentation. This fact raises more

questions than there are answers. How do you optimize redundancy? Is

repeating stimuli as effective as using attribute redundancy? How much redundancy i s advisable with d ifferen t amounts of stimulus complexity?

What are the means for introducing redundancy?

We need studies which show the variables involved in optimiz­ ing the amount of information presented. We already have some answers.

Redundancy that is helpful to discrimination and reinforcement is de­ sirable. (See p. 188) Superfluous redundancy is undesirable because i t consumes presentation tim e. Studies of attrib u tes and instances which have been cited suggest that while simplification is desirable, it should not be made at the expense of redundant information. The more complex the concept or the stimulus, the more important it is to include some redundancy.

Complication can be useful, too. For example, if a presenta­ tion is too simple, the learner may not perceive that there is anything 224 to be learned by attending or may over-estimate his knowledge, assume he understands, and stops attending. Experimenters such as W. I.

Welker and D. E- Berlyne have found that subjects w ill choose the more complex and varied stimulus when given a choice between a simple and a more complex (but not exaggeratedly complex) stim ulus. In h is research Berlyne hypothesized six aspects of complexity: irregu­ larity of arrangement, amount of material, heterogeneity of elements, irregularity of shape, incongruity, and juxtaposition. (Berlyne,

1958) W. Dember (1957) has noted that complex stim uli may be useful as rewards in learning.

We know that complexity, redundancy, and simplification needs cannot be separated from variables such as a b ility , age, presentation methods, and salien ce le v e l. For example, redundancy needs can be determined by readability.

The big issue is the optimal information processing capacity of the learner. How do we determine what is optimal for motivating and what is optimal for clarity? How do we determine the amount of irrelevant content optimal for transfer? How do we determine the amount of relevant information optimal for concept identification?

There is a principle that with every action (force acting on an object) there is an equal and opposite reaction (force exerted by the object). This principle can be demonstrated with few irrele­ vancies by suspending several steel balls in a row. When the first steel ball is swung against the second ball the force exerted pushes the third ball which in turn pushes the fourth ball. When the first and second ball are swung together against the third ball, the greater force exerted causes the third and fourth balls to move as a unit. 225

Thus greater force i s seen to move more weight.

The same p rin cip le can be demonstrated using a real l i f e situ a ­

tion full of irrelevancies. Irrelevancies are the unpredictable as­

p ects of the situ a tio n . One example would be driver education film s

which show what happens in accidents when the car is going thirty-five

miles an hour and when it is going seventy miles an hour. The pic­

tures of the accidents would introduce more irrelevancy than the steel

balls would. How does the designer of a physics presentation know

when to use the example with many of irrelevancies? The designer must

consider the lea rn er’s background and a b ility . He must also consider the long term application of the learning as well as the immediate

learning effects. A learner who cannot identify the problem when it is presented in a situation full of irrelevancies may not be able to apply his immediate learning later. We have not yet determined how we can reconcile the factors involved in optimization of amount of content.

One way in which redundancy can be introduced is by presenting messages in two media, not necessarily at the same time. For example, the film Rasputin and the Empress could be used in conjunction with the book Lenin by David Shub. Redundancy may also be introduced by vary­ ing examples of the application of principles. The principle of action-reaction can be illustrated with the swinging steel balls, with pictures of collisions, with pictures of water being displaced by objects, with pictures of men shoveling dirt and of large earth moving equipment shoveling much more d ir t .

A. A. Lumsdaine, R. L. Sulzer and F. F. Kopstein (1961) ob­ served the effect of adding different numbers of redundant examples 226

to film s o f micrometer reading. They found that the more examples used

the more effective the film. The increase in film effectiveness oc­

curred with all levels of student ability. The less able students

needed more examples to reach a certain minimal level of accomplish­

ment than did the brighter students. Brighter students profited the

most by the increase in number of examples used. The brighter students

"did not need as much rep etition to reach a minimum le v e l of perform­

ance, but they were better able to profit from a reasonable amount of

further repetition, especially on difficult material." In their ex­ periment, Lumsdaine, Sulzer and Kopstein did not try to discover when boredom set in. (Gage, 1963, p. 644)

In another study using films on micrometer reading, J. H.

Kanner and A. H. McLure (1956) compared the e ffe c ts of adding id e n ti­ cal repetitions (four examples seen twice) with effects of adding varied repetition (eight different examples). Varied repetition is redundancy; so Kanner and McClure were comparing rep etition with re­ dundancy. The results showed a significant but small difference favoring redundancy. This difference occurred only for the more able students and only after a week had elapsed since training. A second and sim ilar experiment by Kanner and McClure produced no sig n ifica n t differences at all.

B. Rimland (1955) tested the effects of redundancy and repeti­ tion on the learning of a specific motor skill. In his experiment two identical repetitions were more effective than redundancy. (Gage, 1963, pp. 644-45) J. L. Hayman Jr. and J . T. Johnson Jr. reported research ^ on "Exact vs. Varied Repetition in Television." Their research compared with the learning of Spanish under differing conditions of 227

presentation and practice. One condition was a single viewing of a

television presentation with no practice, another condition was a single

viewing with teacher directed practice (varied repetition—redundancy).

A third condition was repeated viewings without practice. There was

also a condition of repeated viewings with practice. Exact repetition

significantly increased learning when there was no provision for prac­ tice (redundancy). It was not as effective as practice (redundancy), however. As a result of their research, Hayman and Johnson conclude that " s k illfu lly presented" redundancy i s more e ffectiv e than rep eti­ tio n .

Exact repetition in educational television is therefore, a potent variable, but it is not as potent as a skillfully presented varied repetition. The key to this statement is the words " s k illfu lly presented." Not a l l variations are better than exact repetition, and for each particular set of circumstances, effective variations must be determined through research. (Hayman and Johnson, 1963, p. 102)

There is evidence that there is a point beyond which exact repetition ceases to be effective. Two repetitions of a film seem to be as effective as three repetitions. More than three repetitions of a film can decrease learning. (Gage, 1963, p. 644) The nature of the content and the previous knowledge of the learner can invalidate these conclusions.

On the basis of research findings, we may conclude the fol­ lowing : Simplification, although desirable, should not be made at the expense of repetition or redundancy. Redundancy is more effective than repetition. More than three repetitions is generally undesirable.

Redundancy may be introduced by direct practice, by review, by pre­ senting material through more than one medium, by using different examples of the same principle. Some variety and complication is 228

desirable for motivation. Too much information may unnecessarily com­

plicate learning with the result that the student may refuse to accept

the challenge or may become confused.

Approach to Content

Treatment

The“approach to content is revealed in the treatment and struc- \ turing of content. Approach is used here to mean the manner in which

content is handled. It includes the point of view taken, the method

for organizing the material, the means used to show relationships.

Approach is thus a composite of treatment, structuring and editing.

A film that is factual, satirical, thematic and dynamically edited

(montage cutting) d iffe r s in approach from a film which is dramatic,

chronological and uses continuity cutting. The former film might use

a social commentary approach and the latter film a story approach. The

success of either film may depend on how suitable the approach is for

the subject matter and for the learner.

A treatment is "a brief written outline of a proposed cinematic

(or other) rendition of a story." (Ely, et a l., 1963) The type of treatment used provides the point of view with which the content is handled. Some types of treatment are informational, emotional, dranatic, documentary, realistic, humorous, theatrical, educational, satirical,

open-ended, ambiguous. (Our American H eritage, May, 1963, p. 17)

It is impossible to draw conclusions about the effectiveness of dif­ ferent types of approaches using the data now available. In fact, it w ill be difficult to draw clear conclusions until the types of treat­ ment are better defined. 229

Two types of treatment which have been compared in research are

the th ea trica l or dramatic treatment and the "straight forward" exposi­

tory or educational treatm ent. M. A- May and A. A. Lumsdaine (1958)

compared a narrated version of a film with a dialogue version of that

film . The amounts learned from the two film s were not sig n ifica n tly

different. Nevertheless, younger students (fifth grade) expressed

more interest in the dialogue story form. Generally, viewers found

that the live-dialogue form stimulated more interest in the subject

matter of the film.

May and Lumsdaine have warned that in terest in a film i s not

the same thing as interest in the subject matter of the film. Nor

does the amount of interest in a film necessarily directly relate to

the amount learned from i t . In a 1958 study Lumsdaine and F. D.

Sheffield reported no significant differences in effectiveness between theatrically dramatic and educational films. (Gage, 1963, p. 653)

The author suggests that difference in effectiveness may depend on how well each treatment is suited to the subject and on how well each treatment is done. The writer believes that it is an oversimplifica­ tion to simply compare dramatic v. educational treatment. (Miller,

1957, p. 108)

Humorless and humorous treatments have been compared by C. J .

McIntyre (1954). McIntyre used three films which had identical con­ tent but which were presented with three different treatments. One film achieved a humorous treatment through the use of production tech­ niques (sound e ffe c t s , commentary, speeded motion, ju xtap osition , re­ verse motion, trick photography). A second film used print titles to give cues concerning the main topics to be covered. This second film 230

was humorless. The third film was a conventional educational film using

a humorless narration and no print titles. Subjects were 426 Army

trainees. The printed title (humorless) version was more effective

(p = .05). The humorous and conventional (humorless) educational

treatments were equally effective. (Travers, 1967, pp. 49-50; Gage,

1963, p. 633) One explanation for these results may be that while

humor may draw a tten tio n , i t may draw i t away from the task. The re­

sults suggest that the extra time and cost that must be invested in

order to produce a theatrical treatment should be carefully weighed.

The theatrical treatment does not seem on the basis of this study to

be justifiable as a way of increasing learning. A weakness of studies

such as th is is that the resu lts depend on how w ell each treatment was

done and on the suitability of the content for the treatment. The re­

sults are probably also related to the amount of interest the learner

started with and the mood of the learner.

Further explanation of the evaluative criterion "how well the treatment is done" is needed. M Approach to the Evaluation of In­

structional Materials developed by the Los Angeles County School Dis­ trict gives some suggestions for making such a judgment. This booklet asks first, how the content material presented relates to the film's purpose. Then it asks, whether the material is properly documented.

It asks whether verbal statements present overgeneralizations. Finally, it asks what the strong and weak areas of the content and treatment are.

(Our American H eritage, May, 1963, p. 17)

Another type of treatment is the emotional treatment intended to produce anxiety. This treatment is an attempt to increase learning by increasing motivation. Motivation is presumed stimulated by 231

m aterials th at are anxiety-producing. For example, S- Feshbach and

I. L. Janis (1951) stimulated anxiety before a film on the care of the

teeth by showing close up shots of decaying teeth and gums. Contrary

to expectations, the greatest anxiety produced led to the least learn­

ing. This was hypothesized as due to need to reduce the anxiety drive

by not paying attention or thinking about teeth at all. A little

anxiety, however, was effective in stimulating learning. It seemed to

stimulate attention without being aversive. In another study on the

emotional treatment, H. H. Kendler, Tracy S. Kendler, A. H. Desiderate

and J . 0. Cook (1953) found th at heightening anxiety produced no s ig ­

nificant differences in learning. (Gage, 1963, p. 654) It has been

hypothesized by Neal Miller, C. I . Hovland, J. L. Janis and H. H.

Kelly that these no significant difference findings are due to a need

to escape from the fear used for m otivation. I f the communicator does

not point out very clearly desirable ways of avoiding the danger, the

audience will find undesirable ways, such as not attending, belittling,

forgetting. (Miller, 1957, p. 69)

A. Sweetland and L. Childs-Quay (1958) investigated the effect

of emotion on concept attainment. Neutral and emotionally-toned

stimuli were tested on groups classified as emotionally adjusted and

emotionally maladjusted. The emotionality of the stimuli impeded con­

cept attainment in both groups. The maladjusted group took longer to leam the emotionally-toned concepts than the neutral concepts.

Another category of treatments could include the ambiguous presentation and the open-ended presentation. Ambiguous treatments leave the learner with a feeling of doubtfulness or uncertainty as to th e ir meaning. An ambiguous figure i s capable of e lic itin g several 232

responses. The learner usually switches back and forth among the pos­

sib le responses. As he becomes satiated with one response he transfers

his attention to another response. Because this switching of responses

is fatiguing and requires sensitivity to weak signals, ambiguity is un­

likely to be successful when the learner is not functioning at peak ef­

ficiency. (Travers, 1967, p. 232) In mediating learning, ambiguity can

lead to very creative conceptualizing, and it can lead to referent con­

fu sion . In referent confusion the treatment is intended to promote

something specific, however, ambiguity leads the learner to assign a

d ifferen t meaning than was intended by the treatm ent. In contrast,

ambiguity which leans to creative conceptualizing has good effects.

It can stimulate thinking on complex problems which are not easily

solved. Most value judgments must be made on the basis of conflicting

information. Ambiguity can be useful for providing practice in inter­

preting the type of situations one meets in real life.

Carl Ketcham and Robert Heath (1963) researched film s which

use visuals that did not embody the material presented by the sound track. They found th at film s which use ambiguous images with an edu­

cational sound track can be e ffe c tiv e . In fa c t, they produced better learning in some cases than film s with unambiguous images which clearly represented the material given in the narration. Because they used a

film on the poet Wordsworth for this study, the authors suggest that certain subjects, such as poetry, call for ambiguity. (Ketcham and

Heath, 1963)

Structuring

The writer defines organization as the way in which the rela­ tionships between aspects of content are made clear and content is 233

formed into a whole. The importance of organization is supported by

research on the effects which occur when organization is enhanced•

W. J. Parson, N. Rose and J. £• Podell (1955) have found, for

example, that rest pauses can improve learning. They suggest that

rest pauses between sequences can help structure or organize content.

G. J. Margolius, F. D. Sheffield and N. Maccoby (1957) hypothesized

that the value of rest pauses for structuring would be relative to the

extent to which the rest pauses were used at natural breakpoints and

to the extent to which a task was inherently well organized. It is

interesting that when rest breaks used at natural pause points were

compared with artificial pause points, the researchers found no sig­

nificant differences. They attributed this finding to the fact that

the task was inherently well organized since it clearly broke into

•separate sequences in chronological order even without the enhancement

of rest pauses.

J. Miller and S. Levine (1952) tried structuring by major sub­

titles only, by very complete subtitling and by using subtitles or

breaks. No significant differences were found and Miller and Levine

hypothesized that this was because the film was inherently well struc­

tured. D. S. Northrup found significant differences in a later study

(1952). He found that film versions using structuring organizational

outlines were found more effective than similar films lacking these

aids to education. (Gage, 1963, pp. 646-47)

Titles and rest pauses are means of organizing imposed on

more basic types of subject matter organization. Other means of adding organization to the basic types of organization are: chapters,

frames, subdivisions, headings, summaries, models, analogies, grouping. 234

ordering visually (see p. 179). Some of the basic types of organiza­

tion are: chronological (historical), step by step (sequential), order

of importance, thematic, inductive, deductive, descriptive, narrative,

flashback, cause-effect, effect-cause, argumentative (weak to strong

points or vice-versa), analytic (whole to part), synthetic (part to

whole), mathetic (last to initial step returning to solution between

steps), practical (principle to application), theoretical (phenomenon

to theory), direction of effort (English to Spanish, Spanish to

English), problem solving, character development, branching, ruling

(rule to example), egrule (example to rule).

Lou Burmeister has compared the effects of the inductive and

deductive methods of organization when used to teach selected word

analysis generalizations to disabled readers in eighth and ninth

grades. No significant differences were found. (Burmeister, 1966, p. 31) Milton Pella and Robert Ziegler investigated the use of

analogous mechanical models as organizational aids for teaching theoretical science concepts in elementary school. The analogous models helped the children successfully form concepts about such theoretical areas as the particle nature of matter. The models seemed to help move the concept from the logical operations stage to the con­ crete operations stage for the child. (Pella and Ziegler, 1967, p. 46)

J . J . Wulff and L. M. Stolurow (1957, 1961) found c la ss organ­ ization was more effective for discrimination learning than item or­ ganization.

Two forms of organization were used in sequencing the in­ struction. A series of training cards was used to teach the code for rivets. "Class organization" displays showed all the items in relation to one class of differentiating cues, e.g., rivet-head silhouettes or rivet-head markings that indicated 235

diameter. "Item organization" displays gave the same information, but with all features about a given item presented at one time, e.g., a sin gle riv et with each of the four coded characteristics depicted. By presenting many different individual rivets, one at a time, the application of the code was illustrated and taught. (Gage, 1963, p. 647)

Editing

Because media can edit to cross time and space boundaries,

media are uniquely suited for showing relationships. The way in which

relationships are shown can give meaning. Two elements placed con­

tigu ou sly can assume an associative relation sh ip . I f they can be re­

lated in some way, meaning is added to the content. At a panel dis­

cussion following the Ohio State University Motion Picture Department's

first public showing of a series of films on communication (June, 1967)

Ralph T yler, the curriculum and measurement s p e c ia lis t , commented th a t,

media, because of their ability to juxtapose, have great value for de­

veloping generalizations, for showing the applicability of generaliza­ tions and for helping to relate concrete things.

How are ways of showing relationship s related to the approach used? What ways do media have for showing relationships? What types of relation sh ip s can be shown? What are the e ffe c ts o f various ways o f showing relationships?

Media can transmit these kinds of relationships:

1. comparison and contrast, e.g., a chart showing the average

heights of children at different ages;

2. action and reaction, e.g., a film has a shot of a woman

crying following a shot of a man shouting at her; 236

3. time order (past, present, future), e.g., a television

show uses a flashback technique to indicate that something

happened in the past;

4. conflict, e.g., a scene of gay prosperity is followed by a

scene of abject poverty;

5. concrete-abstract, e.g., an overhead transparency o f the

heart uses an overlay to show the sections of the heart and

the direction of the flow of blood or a film showing the

pyramids being built has a narration giving a law of'

physics explaining their design;

6. connection or association, e.g., an advertising message can

show someone emerging more beautiful a fter the use o f a cos­

metic;

7. dominant-subordinate, e.g., a picture emphasizes some de­

ta ils and de-emphasizes others through the use of sharp and

soft focus.

Some of the means for showing the preceding types of relationships in­ clude: montage ed itin g , continuity ed itin g , camera angle and d istan ce, framing (composition) and focusing, captions, narrations, opticals

(superimposition, dissolves, wipes, split screen, fades), camera move­ ment, lighting, sound mixing, grouping elements.

J . M. L. Peters has explained that the usefulness of a film's means for showing relationships depends on the viewer's knowledge of the film language. A viewer must be able to establish the relations between two or more objects in a separate picture, to analyze his view­ ing point, to put himself in the place of somebody else, to "decenter" himself continually, to fill up the gaps be'tween pictures, to foresee 237

what w ill happen or a n ticip a te, to remember what has happened already,

and to make time leaps. (Peters, 1961, p. 34)

This qualification applies to other media. Just as one must

leam to read in order to comprehend the relationships present in a

textbook, one must leam to respond to specific ways of presenting re­

lationships in other media. One must leam the syntax, the conven­

tional meanings. A three or four year old child cannot understand a

television spot presenting family conversation while the camera pans

from the lefto v ers on a dining tab le in America to an emancipated boy

in India sitting on the ground and eating rice. The child does not

understand the film syntax. He does not understand one type of com­

parison and contrast relationship which can be shown in films. As a

result the child may misinterpret and ask why the Indian boy is eating

alone.

The reader should not equate the languages (ways of showing

relation sh ip s) o f the various media. As Calvin Pryluck sa y s, "Film i s

one kind o f coding mechanism. Language is another." (Pryluck, 1969,

p. 47) The structure of a film or a poster is not the structure of a

sentence. A picture of a chair is more specific than the word "chair."

Structurally, it seems that the abstraction of a word tends to be specified by syntax and the specificity of a shot tends to be generalized by juxtaposition in editing. (Pryluck, 1969, p. 48)

Jay Ruby suggests that we persist in using verbal language

when the language of another medium would serve b etter. As an example

Ruby cites anthropology. Because the observations of the anthropolo­

gists lose some of their scientific value when they are translated into words. Ruby believes anthropologists should turn more to visual note­ books. According to Ruby decisions in anthropological filmmaking must 238 be based on anthropological relevance not on suitability for verbal translation. (Ruby, 1969, pp. 69, 70)

One th eo rist who compares film liter a cy with v isu a l liter a cy is Sergei Eisenstein. He sees in hieroglyphics the idea of film editing. He expands this idea to include the particularly filmic concept of juxtaposition creating conflict which leads to new con­ cepts .

Eisenstein discusses at length the role of film in showing re­ lationships. Many of his ideas hold true for other media. Eisenstein says that, "I confronted him with my viewpoint on montage as a colli­ sion. A view that from the collision of two given factors arises a concept." Eisenstein speaks of montage as conflict-juxtaposition.

Montage, he says can be used to show relationships because it allows one to establish mood and ideas by changing the rhythm, continuity and sound-visual connotations. He continues by describing the types of conflict relationships possible within shots and between shots.

These are the "cinematographic" conflicts within the frame: Conflict of graphic directions. (Lines—either static or dynamic) Conflict of scales. Conflict of volumes. Conflict of masses. (Volumes filled with various intensities of light.) Conflict of depths. And the following conflicts, requiring only one further impulse of intensification before flying into antagonistic pairs of pieces: Close shots and long shots. Pieces of graphically varied directions. Pieces resolved in volume, with pieces resolved in area. Pieces of darkness and pieces of lightness. And, la s t ly , there are such unexpected c o n flic ts as: Conflicts between an object and its dimension—and conflicts between an event and its duration. These may sound strange but both are familiar to us. The first is accomplished by an optically distorted lens, and the second by stop-motion or slow-motion. (Eisenstein, 1957, pp. 39, 55) 239

There is also the conflict of meaning. In this writer's

opinion the presenting of a thesis and an antithesis which create a

synthesis is media's most potent means for showing relationships. This

is because the conflict can make a statement which can give rise to a

need for a new concept. A photograph of an electric freezer in an

Eskimo village can, when used with a photograph of dressed walrus meat

melting in the midnight sun and some narration can create the concept th at warmth due to the duration sun's rays can e x ist even in a very

cold climate. The conflict of an obviously cold environment and a need for a freezer created a need for a new concept—a concept of warmth in a far northern climate.

A presentation which uses a montage of c o n flic ts approach to showing relationships w ill be more suited to creating concepts than a continuity approach. The continuity approach is more suited to re­ vealing cause and effect bases for concepts. The means for showing relation sh ip s can contribute rhythm (which se ts mood), tim e of occur­ rence and duration, and point of view to the approach to content. Some of the mood or point of view relationships which it is possible to cre­ ate by composition are shown in Figure 30: Keys to Basic Arrangements and Space Division. Quietness, activity, formality or nonconformity can be projected from composition because i t shows relation sh ip s.

The approach to content used is a composite of the effects of treatment, organization and means for showing relationships. The type of treatment selected should be suitable for the conceptual topic, for the concept learning objectives and for the learner. One purpose of organization is to establish what is primary content and what is sec­ ondary content. Another purpose is to help the learner group concrete 240

______-to ______BASIC ARRANGEMENTS AND SPACE DIVISION

A CIRCULAR ARRANGEMENT MAY BE CENTERED OR MOVED TO ONE SIDE FOR ADDED INTEREST.

A TRIANGULAR COMPDSITION IS EFFECTIVE WHEN IT IS USED ALONE OR IN COMBINATION.

AN "S" TYPE OF GROUPING HAS A SOOTHING QUALITY. INTERESTING VARIATIONS ARE POSSIBLE.

ANOTHER "QUIET" ARRANGEMENT IS BASED ON THE LETTER'!". TRY IT IN REPETITION.

SPACE DIVIDED HORIZONTALLY IS STATIC, BUT THE SAME DI­ VISION IS DYNAMIC WHEN SLANTED.

ALL OVER" ARRANGEMENTS MAY BE REGULAR OR IRREGULAR.

TRY COMBINATIONS

FIGURE 30

(Michigan Curriculum Committee on Instructional Materials, 241

elements into more general concepts. Rest pauses and other means of

subdividing content are helpful for organizing content. Content should

also be given some basic type of logical organization.

By using different means for showing relationships the designer

can establish mood, rhythm, time and point of view dimensions for a

presentation. The mood and point of view established w ill influence the connotations and the value associated with a concept.

The concept of violence, for example, is treated differently in the film Easy Rider than it is in the film The Molly McGuires. Easy

Rider is a film about bigoted, small town Southern men who bludgeon and shoot hippies as they ride through on their motorcycles. The Molly

McGuires i s a film about the suffering of the miners in 1876 due to their working conditions. The Molly McGuires was an organization of miners that protested these conditions through acts of violence.

Violence in Easy Rider derives from fear o f what is d iffe re n t. Violence in The Molly McGuires derives from a ju st cause. Violence in Easy Rider is primarily an act of oppression. Violence in The Molly McGuires is prim arily a reaction to oppression. Violence may assume a necessary connotation of greater value after one has seen The Molly McGuires»

Violence may assume an ir r a tio n a l, valu eless connotation after one has seen Easy Rider.

Finally, by presenting conflict media can generate new concepts.

A picture o f an eight year old child operating data processing equipment conflicts with our expectations. The picture can start us thinking of teaching data processing to young children. The picture can generate concepts of data processing education in schools. 242

III. Response Factors

The purpose of this chapter is to delineate the design factors

which influence concept learning. Part I of this chapter describes cu­

ing factors, such as set and familiarization. Part II dealt with stimu­

lus factors including the medium and the content. Part III w ill con­

sider response factors, including the rate and type of response and

feedback to response.

'■ Rate o f Responding

Factors: Pacing, Rate of Development, Task Size

The rate of responding depends on whether the instruction is being given to a group, a pair or an individual, on whether it is being self-paced or machine paced and on the size of step or rate of develop­ ment used in the presentation. Pacing and rate of development are terms used to describe the rate at which new material is introduced and new responses called for. (Ausubel, 1968, p. 327; Miller, 1957, p. 96)

Pacing

If the student reads and responds at his own rate, the method is self-pacing. If the materials are presented to a group, the time allowed for presentation and responding has to be standardized and the resulting method i s group-pacing. Sometimes mechanical devices con­ trol pace by moving on to the next item irrespective of the student's behavior; the resu ltin g method is machine pacing. Group and machine pacing can be called uniform pacing as compared with the individual pacing or self-pacing. Variations in the types of pacing are possible. 243

James G- Ramsey has investigated the relative efficiency with

which pairs and individuals attain concepts. Ramsey found that pairs

attain concepts more efficiently than individuals. He offers the ten­

tative explanation that the joint memory capacity of a pair is superior

to individual memory capacity. Ramsey cautions that other research in­

dicates that those who work individually though performing less well

in itially than members of pairs, perform better subsequently than do

members o f p airs. (Ramsey, 1966) I t may be that for concept learning,

pair or small group pacing is superior to self or large group pacing.

Using programmed instruction in algebra concepts presented by

slide projectors, Charles Frye showed that group pacing of programmed

in stru ction could be e ffectiv e with homogeneous groups. (Frye, 1963)

From research on televised programmed instruction in science concepts

George L. Cropper and Gerard C. Kress, Jr. compared the effic ie n c y of fast and slow fixed pacing used in group settings. Cropper proceeds from the conclusion that, "It has been shown that self-pacing can be nonadaptive . . . and that, under some circumstances, instruction can be more effective when it is fixed-paced rather than self-paced."

(Cropper and Kress, 1965, p. 181) Trying to establish the circum­ stances under which group paced instruction can be e ffe c tiv e , they find that the learner's characteristic speed of working, achievement and intelligence level should be used as indicators of the type of pacing desirable. They are unable to substantiate any more specific conclusions about the interaction of these variables and pacing.

The limited experimental evidence so far available indicates no general superiority of self-pacing procedures. (Ausubel, 1968, p. 325) L. J. Briggs (1961), however, found that self-pacing was the 244

more effective method for superior students learning how to assemble a

thirty-part ignition distributor. L. J. Briggs, D. Plashinski and D. L.

Jones (1955) found that it takes time to adjust to an externally paced

procedure. (Gage, 1963, pp. 626-27) Their results gain support from

research on reading developed by machine pacing. This research indi­

cates that students can be taught to accelerate learning.

In addition to training and learner variables, practice and

cognitive strain seem to rela te to pacing. A. A. Lumsdaine reports

that adequate time for practice must be allowed. (Gage, 1963, p. 612)

One of the steps learners take to avoid cognitive strain is adapting a

strategy which is slow, cautious and certain to produce results.

(Travers, 1967, pp. 200-201)

Rate control through pacing or rate of development may be

achieved in many ways. Edward Fry enumerates some of the ways of

controlling pacing.

There are several parts of the learning cycle where rate con­ trol may be exercised. For example, the time lapse between presentation of the frame and the response is controlled by the student, even though some machines maintain control of time be­ tween frames. . . . Machines may control the to t a l S-S time (frame to frame), the R-S time (time between student's response and next stimulus, the S-R time or latency (time allowed for a student to respond) and may vary any or a ll such factors according to a number of previously determined conditions. (Fry, 1963, pp. 164-65)

Rate of Development

Among the ways in which rate of development can be controlled are: rate of speaking, amount of pausing for emphasis or observation, amount of oral or visual redundancy, and repetition within a presenta­ tio n . 245

Rate of development has been shown to affect learning from

films. (Miller, 1957, p. 96) The effect of rate of development as con­

trolled by narration was investigated by W. J. McGuire (1955, 1961)

among oth ers. McGuire found th at i f the rate of development was f a s t ,

covert responding was more effective. If the rate of development was

slow, learning from overt and covert responding did not differ signifi­

cantly. McGuire's subjects had the task of learning to name mechanical

parts displayed and labeled in six presentation trials. Presentations

lasted two seconds for each part at the fast rate and four seconds at the slow rate. All subjects were allowed the same time for practice trials. Overt responses required subjects to write the names of the parts. Covert responses required subjects only to name the parts men­ tally. (Gage, 1963, p. 618)

Task Size

Besides varying pacing and rate of development, the communica­ tor can influence the rate of responding by varying task size. There is usually a response chain that must be formed from smaller task units.

The response chain forms the size of the task required for a completed successful performance. G. Davis, M. Manske and A. Train studied the effect of increasing the length of the required response chain. The length of the problem-solving response chain was defined as the number of switches which must be used for problem solution. In other words, response chain referred to the number of minimally required responses.

The length of the response chain was found to affect performance on an overt trial and error form of the task and on an implicit "insightful" form of the task. This effect is recognized as due to the increased difficulty associated with longer response chains. Davis and his 246

associates speculate that the ability to solve longer response chains

should be related to age. The implication is that younger learners

need to respond more frequently because they have difficulty with long

response chains.

Because response chains are often too long to be successfully

handled as a whole unit, control of rate of development by size of step

is often introduced. Susan Markle notes that the size of step is not

necessarily related to the size of the response. Size of step refers

to the difficulty of the average stimulus-response unit that must be

performed before moving onto the next stim ulus-response u n it. (E ly,

et a l., 1963) (While size of step can determine pacing, it is not

n ecessarily synonymous with i t . Size of step refers to d iffic u lty

of response units while pacing refers to the speed at which new mate­

rial is introduced.)

Research on size of step indicates that up to a point decreas­

ing step size (by increasing the number of steps) helps decrease er­

rors. However, it should be remembered that the more steps used (thus,

the smaller the step size) the more time is consumed in learning even

though fewer errors occur. On the basis of their research, N* Maccoby

and F. D. Sheffield (1961) recommend small step size for initial learn­

ing with progressively lengthening of steps as subjects acquire ease in

performing. David Ausubel notes that smaller steps are less necessary when used with potentially meaningful material and a branching type of

feedback.

Much more important for difficulty of meaningful learning and retention than length of task itself would be the logical struc­ ture, the lucidity and the sequentiality of the material. The optimal size of task that the learner could conveniently manage 247

in a given t r ia l would also depend upon such considerations as age, cognitive maturity, subject-matter sophistication, intel­ ligence and motivation. (Ausubel, 1968, p. 327)

As an alternative to increasing the number of steps when material is

difficult, it is also possible to achieve effective learning by de­

creasing response practice and increasing repetition of content.

Where are we then? Who is to make judgment about the desirable

rate of responding? The teacher? The materials designer? The stu­

dent? The materials designer cannot avoid assuming this responsi­

bility even though the teacher or student may also participate in making these judgments- To make judgments about the most desirable

rate for responding, message designers must discover the size of the

functional units which can be u tiliz e d for concept b u ild in g. The smaller the functional unit the slower the development should be.

(Miller, 1957, pp. 91-92) A lesson on the concept of compound in­ terest needs to develop more slowly for a learner who has not yet learned the meaning of "compound" or "interest" than it does for the learner who already knows the meaning of these words- There is the danger, though, that a slow rate of development w ill produce a more boring presentation.

Type o f Response

Factors: Type of Strategy, Type of Activity, Type of Practice

Responses can be classified according to the type of strategy, a c tiv ity or practice employed. For example, a learner can respond with a scanning strategy (see page 255) which y ield s a verbal id e n ti­ fication (overt response) given during a presentation (practice by participation). Strategies can be conjunctive or disjunctive, selec­ tion or reception, focusing or scanning types- Response mode, the 248

type of activity involved, may be overt, covert or implicit. The cate­

gory practice includes forms of participation, imitation and review.

Type of Strategy

A conceptual strategy is a pattern for responding. It is an

unconsciously or consciously adopted plan for attacking a concept

learning task. Our present theory and knowledge on response strate­

g ie s comes mostly from the work of Jerome Bruner and h is a sso cia tes.

Bruner’s work has been done on concept attainment problems. Typically,

these problems would present a learner with an array of exemplars

which could be classified as negative or positive instances of the

concept. The subject is given the problem of identifying the attrib­

utes which define the concept presented by the positive instance.

Bruner studies the sequential pattern of responding to this task by

observing sorting behavior and by obtaining written and verbal re­

ports from the learner on hypotheses formed and tested. He is inter­

ested not in "acts at a moment" but rather in "the sequentially co­ herent nature of problem solving." (Bruner, et a l., 1956, pp. 124,

135-38, 155) He manipulates the working conditions by changing the

concept to be obtained, the order for presenting instances, the na­ ture of the stimuli used and the memory load imposed (see pages 47-48).

Bruner varies when and how often a person leams whether an instance i s p o sitiv e or not. In th eir experiments Bruner and h is colleagues vary the information (instances) available and the feedback, (ibid..

*Implicit responding refers to the learner's reaction when specific responses are not cued. Covert responding refers to the cuing of specific internal reactions. Overt responding refers to the cuing of specific externally expressed reactions. (Gage, 1963, p. 617) 2 4 9

pp. 60-80) One experiment may present several negative and positive in­

stances at once. Another experiment may present a positive instance fol­

lowed by a negative instance. In some experiments correction (feedback)

i s readily a v a ila b le. In some experiments i t i s not. Bruner t r ie s ob­

serving the behavior of different types of learners under similar con­

d itio n s.

The conclusions which may be drawn from this research are as

yet of limited practical value. Because most of the research has been

done under the simplified conditions of the laboratory, any generaliza­

tions made from the research studies are not necessarily valid. The

number of relevant defining attributes in real situations are usually

more numerous and less easily discriminable. The laboratory situa­

tions also reduce the mediating processes which enter into concept

learning, such as coding and storage. The laboratory situations do

not place as much demand on coding and storage as do actual learning

situations. In Bruner’s experiments, moreover, the concept is identi­

fied for the subject and the problem is to identify the attributes

which define this concept. The concept is to be attained, not formed.

At this point the reader might well ask why strategies are

being considered a response factor which a medium presentation can

use to influence concept learning. Wouldn't it be more appropriate to consider strategies as internal processes to be influenced? The answer is that media presentations can cue the strategy adopted. Set, availability of stimuli, presentation order, amount of content and rate of responding can all be designed to ensure that the learner chooses an appropriate strategy. 250

In order to understand the findings on strategy and the impli­

cations that these findings have for audiovisual communications, the

reader needs to become at least superficially acquainted with some of

the concepts used in the study and reporting of strategies. Differ­

ences between types of strategies, as sketched by Bruner, are compli­

cated and difficult to explain briefly. Tables 7 and 8 on pages 251

to 254) attempt to depict the differences between types concisely.

These tables were developed by the writer.

Although the tables w ill not answer all questions about dif­

ferences between types, they present enough information to allow the

reader to understand the findings and implications which w ill be set

forth later. The general distinctions between strategies will be delineated after the reader becomes acquainted with the nature of the various strategies through the tables.

A more extensive explanation would be too lengthy for this report. The reader may feel that the information is not presented in sufficient detail. The writer suggests that the theory of Bruner and his associates is so complicated that it cannot be presented simply and briefly yet adequately. The reader w ill have to consult

A Study of Thinking by J . Bruner, J . Goodnow and G. Austin before fully understanding the subject of strategies in concept attainment.

A person can attain a concept through a reception or selec­ tion strategy. In a selection strategy the subject is free to choose the order in which he tests instances. In a reception strategy the subject's major freedom is in the hypotheses he chooses to test. He must take the instances in the order predetermined by the experimenter. 251

TABLE 7

STRATEGIES FOR RESPONDING TO CONJUNpTIVE CONCEPT* ATTAINMENT TASKS

Type o f Strategy Description Value

Conservative Testing each attribute Puts the least strain Focusing of a positive instance on memory. This is the to see whether changing most e ffic ie n t strategy ( focusing it prevents the in­ for attaining conjunc­ selectio n stance from being p osi­ tiv e concepts. Guaran­ stra teg y ) t iv e . tees gaining some, al­ though not a ll, infor­ mation from each step. This strategy makes l i t t l e demand on memory.

Focus Testing more than one Solution may be very Gambling attribute of a positive fast, very slow or in instance at a time. between. This strategy (focusing involves more risk- selectio n taking or gambling. strategy)

Simultaneous Several hypotheses are Makes the greatest de­ Scanning applied to each in­ mand on memory. In­ stance each time. volves the greatest (scanning Using deduction one risk of choosing nega­ selectio n esta b lish es which tiv e instances which strategy) hypotheses are contain minimal infor­ ten ab le. mation. Deduction process is exacting. One of strategies least likely to be used.

Successive A single hypothesis is The best strategv for Scanning tested at a time. In­ going through a list stances containing the o f hypotheses. Cogni­ (scanning attribute hypothesized tive strain is relieved selectio n to define the concept at the expense of in­ strategy) are tested to see creasing the risk of whether they are posi­ choosing uninformative, tive instances. redundant instances for te s tin g . Time consum­ ing. Useful when the 252

TABLE 7—Continued

Type of Strategy Description Value

concept to be attained is difficult or when it seems probable that the hypothesis is correct.

Whole One uses a positive Cognitive strain is instance i^ toto as reduced because the ( focusing one’s hypothesis. Then hypothesis is modified reception one takes as his next at each step to incor­ strategy) hypothesis only what is porate the information common to the original gained. Requires less hypothesis and any alert concentration positive instance. than part strategy. (Identifies many at­ Maximizes information tributes then whittles and reduces strain. them down as additional Best strategy for instances are presented.) reception learning.

Part Begins with part of A compromise between first positive instance successive scanning (scanning as an hypothesis. When and simultaneous reception this hypothesis fails scanning. Causes strategv) to be confirmed by some cognitive strain. Re­ subsequent instance, quires alert concen­ the person changes it tration. One of by referring back to - strategies least all instances pre­ likely to be used. viously tested. A com­ pletely new hypothesis is then chosen for testing. (Selects few attributes and then adds or subtracts a t­ tributes as needed.)

*Conjunctive concepts are defined by a combination of attributes which must always be present; e.g., an apple is always spherical and shiny. 253

TABLE 8

STRATEGIES FOR RESPONDING TO DISJUNCTIVE CONCEPT’* ATTAINMENT TASKS

Type of Strategy Description Value

Negative Starting with a negative Most efficient strategv Focusing instance the subject for forming disjunctive tries changing its at­ concepts. Depends on (focusing tributes one at a time. the use of one or more disjunctive If the attribute he negative instances. strategv) substitutes changes Makes good use of in ­ the instance to posi­ formation contained in tive, he assumes that in sta n ces. it is a defining a ttr ib u te .

Multiple Subject chooses card Appropriate for dis­ Negative until he has identified junctive concepts but two or more negative less efficient than (focusing instances. In the negative focusing disjunctive process of doing this strategy. Indirect strategy) he w ill usually iden­ te s tin g . Can be tify one or more posi­ excellent, adequate tive instances. He or m isleading. De­ then takes those val­ pends on the use of ues that are common to one or more negative the negative instances in sta n ces. and uses their opposite as features of the cor­ rect concept.

Common Consists of collating Can be correct by Element a ll the features common chance but not very Strategies to the positive in­ o ften . Common elements stances one has encoun­ may also be irrelevant. (scanning tered and proposing Inappropriate for dis­ disjunctive these features as a junctive concepts. strategy) hypothesis about the correct concept.

Ma j ority Subject builds hypothe­ Used when no element is E ffects ses out of those attrib­ common to a ll positive ute values that appear in sta n ces. Worst of the (scanning in a majority of the strategies inappropriate disjunctive positive instances en­ for disjunctive concept strategy) countered . attainment. 254

TABLE 8—Continued

Type of Strategy Description Value

P ositive Subject compares a An ideal conjunctive Anchoring negative and a positive strategy. Inappro­ instance and adopts as priate for disjunctive ( focusing his hypothesis two concept attainment. disjunctive values of a positive Although not as error strategy) instance that distin­ prone as common ele­ guish i t from a nega­ ment strategies. tive instance. Sub­ Gambling type of nega­ ject assumes that a tive focusing. Error positive instance is is that each distin­ positive because it guishing characteris­ contains both values tic is not necessarily defining the concept. a defining character­ i s t i c .

Source: Bruner, et a l., 1956, pp. 47, 82-89, 130-33, 160-71.

*A disjunctive concept may be defined by one or more of several attrib­ utes; e.g., an apple may be spherical and yellow or spherical and red.

The benefit of selection strategies is that the order called for can maximize information available and minimize the cognitive strain Qsee page 48), the risk of failure and the time necessary for solution. Re­ ception strategies are likely to be required by a lack of control over events in real life. Bruner describes a reception strategist as a clinician who diagnosis and tests and a selection strategist as an experimentalist who hypothesizes and tests. (Ibid., p. 126)

Reception or selection strategies are also described as con­ junctive strategies. A conjunctive strategy tries to define the joint presence of attributes. By starting with positive instances the con­ junctive strategy, whether the selection or reception type, seeks to establish what combination of attributes is necessary to the concept. 255

The disjunctive concept requires a different strategy. It requires a

strategy which tries to define by identifying the several attributes which can define the concept although not jointly present. Disjunctive strategies are strategies which utilize negative instances to identify relevant attributes. Their method is to start with a negative in­ stance. This contrasts with the attempts to find common elements for positive instances which characterize conjunctive strategies. Some disjunctive strategies employ conjunctive methods. Such strategies are inappropriate.

Both disjunctive and conjunctive strategies may be categorized as being scanning or focusing strategies. A focusing strategy leads to identification of relevant attributes through systematic elimina­ tion of irrelevant ones. A scanning strategy puts more of a load on memory. Whereas the focuser must remember h is hypothesis, the scanner must recall past instances. The focuser proceeds from attributes to form a hypothesis. The scanner checks an hypothesis against attributes of instances. A scanning strategy leads to identification of relevant attributes through instances which confirm or infirm the hypothesis.

Some conjunctive strategies are more effective than others.

The same can be said of reception strategies, of selection strategies, of disjunctive strategies, of focusing strategies or of scanning strategies.

Having briefly explained important terms, the writer w ill pro­ ceed to report what is known about strategies.

1. The greater the memory demands of a strategy, the more

likely it is that that strategy will be discarded in favor of

another strategy. This means that the more complex the concept 256

learning problem, the more likely scanning strategies are to be

discarded. For example, a problem which requires the identifica­

tion of a concept from a large universe of positive and negative

instances which are not arrayed in an orderly fashion is complex.

A scanning strategy does not offer enough cognitive economy to

warrant its use. A focusing strategy will impose less strain on

memory and w ill maximize the amount of information gained from

each instance tested. (Ibid., pp. 88, 95)

2. If the problem is to be solved on the basis of a presenta­

tio n o f only a few instances then a bold, risky strategy is war­

ranted. However, if there is great likelihood that instances en­

countered w ill be positive, a more risky strategy is warranted.

( Ib id . , p. 124)

3. If thematic rather than abstract materials are used the

learner may have difficulty in selecting the correct strategy.

This is because of "persistence forecasting." This means that the

learner tends to fall back on familiar hypothesis as a basis for

grouping. Furthermore, he is more likely to hang onto his hypothe­

ses in the face of contradictory evidence. He tends to evaluate the usefulness of cues in terms of past experience. This error may

lead him into a successive scanning strategy even when there is a more appropriate strategy. (Ibid., pp. 110-11, 237)

4. A selection strategy is likely to yield the most informa­ tion to involve the least cognitive strain, to offer the most con­ trol over the degree of risk taken. (Ibid., p. 82)

5. When reception strategies are necessitated, far more people prefer to start with a whole strategy than do with a part strategy. 257

People are consistent from problem to problem in their initial

choice of part or whole strategy. (Ibid., p. 153)

6. Proceeding at their own pace without time pressure wholists

and partists do equally well on reception strategy problems. Under

time pressure wholists do much better. This suggests that time

pressure has a much more deleterious effect on scanning strategies

than it does on focusing strategies. (Ibid., p. 174)

7. Subjects tend to use conjunctive strategies even when they

are inappropriate. They tend to use only positive instances as a

basis for forming hypotheses. If the first two instances encoun­

tered are similar negative instances, the likelihood of using an

appropriate disjunctive strategy is increased. (Ibid., pp. 168-77)

8. When using a reception strategy, the better learner starts with the whole strategy and avoids persistence forecasting. (See

No. 3)

. . . the better than average learner is one who starts with a hypothesis which uses most or all of the stimulus attributes. Further, he changes his hypothesis at the appropriate time; that is, after it has led him to make an incorrect category response. Finally, the changes he makes are by and large simpler, more systematic, and more consistent [italics mine] with available information than are the changes of the poorer problem solver. (Bourne, 1966, p. 49)

In efficien t learners made more complex changes.

9. The id eal strategy depends on the d iffic u lty of the problem

(which changes as information is gained from testing instances), on the time and instances available for testing, on the memory capacity of the solver, and on the likelihood of encountering positive in­ stances. (Bruner, et a l., 1956, pp. 124, 238, 240)

10. There are several kinds of systematic errors which commonly interfere with effective use of strategies. One type of error is 258

using an inappropriate strategy, possibly because of persistence

forecasting. (See No. 3) Another type of error is not learning as

much as one should when one t e s t s an instance according to the

strategy selected . Jerome Bruner c a lls th is behavior lazy

testing. (Ibid., pp. 238-39)

11. Although note taking should reduce memory load, it has

not been found to benefit significantly the learner who uses a

part strategy in reception learning. This finding is the result

of laboratory experimentation. (Ibid., p. 154)

12. The most e ffe c tiv e stra teg ies seem to be conservative

focusing, negative focusing, successive scanning and the whole

strategy, (ibid., pp. 83-180) In an experiment requiring the

identification of the attributes of concepts, Solis Kates and

Lee Yudin found th at the most e ffic ie n t performance was in the

simultaneous condition which kept all instances in sight. (See

pp. 177-81) The most interesting finding of the Kates and Yudin

experiment was that a focus strategy is more effective for concept

identification than a successive presentation order. In the suc­

cessive condition each instance was removed before the next in­

stance was exposed. In the focus condition, the focus instance

was exposed with each succeeding instance. (Kates and Yudin, 1964)

What implications do these findings on strategies offer for audiovisual communication design?

1. When the concept to be attained is disjunctive, present

two similar negative instances initially.

2. Whenever possible a presentation should allow the learner

to select the order in which instances w ill be presented. 259

One way of doing this is by using a simultaneous presenta­

tion. (In a simultaneous presentation all the instances

are displayed at the same time.)

3. Generally, audiovisual presentations cue a reception

strategy because instances are presented in a predeter­

mined order. When conjunctive concepts are to be formed

designers should encourage the best reception strategy,

which is the wholist strategy, or should be concerned with

helping the learner overcome the disadvantages of the

partiSt strategy. This means directing the learner to

use the first positive instances in toto as his initial

hypothesis. The learner should then, be directed to look

for common elements between instances. If a partist

strategy is necessitated, ma&e past instances available.

If cuing partist strategy during reception learning,

avoid time limits which pressure.

4. Cue the ideal strategy by pretraining, by directions, by

order and type of instances.

5. Learners could be taught to assume the appropriate strategy

when told the type of concept to be formed and the learning

con d ition s. They can be taught to avoid persistence

forecasting.

Type o f A ctivity

The type of activity used for responding can be overt, covert, or implicit. Implicit responding is the learner's reaction to reading, viewing, hearing a presentation when specific responses are not cued. 260

Covert and overt responding are evoked by questions, gaps or directions

included in the presentation. A. A. Lumsdaine explains the difference

as follows;

In ordinary reading, listening to a lecture, or watching a film, responses are implicit rather than being explicitly evoked by specific questions or gaps which the student is directed to fill in. Experiments dealing with stimulus factors calculated to influence unidentified implicit or perceptual responses are described in a later section. . . . Explicit responding on cue need not, however, be overt (e.g., written or oral) but can be performed covertly or mentally. In this chapter, the term "covert response" is used to designate response acts which, un­ like implicit responding to a text or lecture, are deliberately made as explicit answers to a question or other express invita­ tion for response, but which are not performed overtly. Such responses may serve as active symbolic practice but afford a less clear basis for differential feedback to the student from an instructional program or teacher (and vice versa) than do overt responses. (Gage, 1963, p. 617)

Overt responding may take the form of constructed responses or overt verbalization of a concept. Covert responding may take the form of mental practice or covert verbalization of a concept.

The available research on these modes of response is limited for several reasons. First, most of the research has simply compared covert and overt responding under equivalent conditions. It has not asked the question, "What mode of response is best under what condi­ tions?" Such an a ll or none approach may have yielded no sig n ifica n t differences without really exploring the actual differences which did occur under varying conditions.

Second, it is difficult to check the effects of covert and im­ plicit responding. It is easier to associate results with overt re­ sponding. In fact, in order to check covert responding one must infer from some more removed type of overt response, such as test results, which may not clearly indicate covert learning. The resulting tendency 261

has been to emphasize overt responding. Because there are more findings

on overt responding, overt responding may seem to assume more relative

importance than it should•

Third, variables which determine the effectiveness of overt

responding have not been adequately researched or controlled in re­

search . These variables include frequency of overt response and type

of overt response. Findings of no significant difference might be due

to lack o f control o f such variab les.

F in a lly , researchers have not been concerned enough with making

the responses meaningful. No matter what the mode of response, learn­

ing w ill be lessened if the response is not made meaningful. Experi­

ments which require only feeding back rote responses do not validly

test meaningful learning. Results of no significant difference may be

due simply to the rote nature of the learning. Perhaps implicit re­

sponses are better for meaningful learning. The success of implicit

responses should be inferable from learning resulting from just reading

or observing.

Some of the gains in reading due to overt responding have been

attributed to implicit anticipatory response during reading. Implicit

anticipatory response means that the student is likely to anticipate

what is coming, usually because the material is repeated or redundant,

and consequently engages in ’’recitation" during reading. This means

that findings that overt responding helps reading may be due as much

to implicit response as to overt response. (Gage, 1963, p. 614)

Although generally research comparing overt and covert respond­

ing has produced no significant differences, there are some findings which can help delineate situations where a certain type of response 262

activity is more appropriate. The important variables for determining

whether a type of response activity is appropriate are time, motivation

and difficulty.

C ritics o f the need for immediate reinforcement say that the

evidence is against B. F. Skinner's assertion that overt responding is

best because it provides immediate reinforcement. In fact, overt re­

sponding may introduce a delay that interferes with learning. J. 0.

Cook and M. E. Spitzer (i960) concluded that overt practice interfered

with both the learning of the response term and with connecting it to

its proper stimulus.

Whether or not an overt response becomes d eb ilita tin g ly in ter­

fering may depend on the presentation media. E. Robert Spake and

Douglas D. Sjogren found that written responses to programs f a c i l i ­

tated learning when programmed textbooks were used. However, when

students were asked to actively operate rudimentary teaching machines when making overt responses, overt responding became debilitative.

(Cook and S p itzer, 1964) It is lik e ly that the teaching machine overt

response required more time delay and thus produced more interference, a c r it ic a l factor in remembering. The value of overt responding is probably due to i t s providing a response amenable to correction. Overt responding can make feedback easier.

Any b en efits due to presenting responses more amenable to cor­ rection are offset by the greater learning.time involved in overt re­ sponding. It becomes necessary to establish when the time consuming process of overt responding is warranted by special reinforcement needs. W. J. McGuire (1955, 1961) found that when responses to two second presentations were compared with responses to four second 263

presentations, covert responding was significantly better than overt

responding when the two second presentation was used. At the slower

rate of presentation there was no significant difference between overt

and covert responding. (Gage ,1963, p. 618) C. I . Hovland, A. A.

Lumsdaine and F. D. Sheffield (1949) found th at overt recitin g of

letter-word combinations helped students leam a phonetic alphabet.

(Hovland, Lumsdaine and Sheffield, 1949) This finding may be ex­

plained by a comment from David Ausubel;

In the first place, it is self-evident that overtness of re­ sponse facilitates perceptual-motor learning in instances where the overtly practiced response itself is one of the objects of learning (that is, part of the learning task). But where the overt response (for example, writing, pressing a lever) is al­ ready a w ell-estab lish ed component of the learner's response repertory and constitutes merely a nonspecific means of re­ sponding to test questions, it is obvious that the response- acquisition advantage of overtness is irrelevant and that overt responses are more time-consuming and less efficient than their covert counterparts. (Ausubel, 1968, p. 298)

Another explanation might be that the requiring of overt re­ sponses stimulated attention and motivation. Overt responding does seem to maintain interest better, especially when motivation isn't high or material is difficult. Covert responding, on the other hand, may be most successful when students are highly motivated. (Miller,

1957, pp. 95, 96) Evidence indicates that overt responding is more effective for helping the less motivated, slow students leam d iffi­ cult material than it is for helping the more motivated, bright stu­ dents leam easy material. R. A. Goldbeck (1960) determined that at the easy level of difficulty, the overt response group performed less well than the covert response group. At the intermediate level of difficulty, however, it performed better than implicit response or covert response groups. 264

The success of overt or covert responding depends on how well

responses are programmed. J. G. Holland (i960) found that overt re­ sponding was better than covert responding only when the response blanks represented the most relevant responses and only when the stu­ dent was cued w ell enough for the correct response to be read ily a v a il­ able. When multiple choice and overt responses have been used with retarded children, offering two choices rather than three produces better learning. (Gage, 1963, pp. 617-19) Experimenters have reported difficulty in keeping subjects at mental practice for longer than five minutes at a tim e. (Travers, 1967, pp. 70-71) Showing demonstration films during periods of mental practice seems to extend the period during which learners w ill practice mentally beyond five minutes.

This conclusion is based on an experiment by Harby in which the sub­ jects were male college physical education students. (Harby, 1952)

Overt responding can have the advantages of providing a detailed record of student responses which is readily available for diagnosis.

This detailed record of student progress can make program revision easier. (Fry, 1963, p. 150)

The conclusions on when each type of response activity is ap­ propriate are summarized in Table 9. The research on implicit re­ sponding does not yet provide a sufficient basis for drawing conclu­ sions .

Overt responding is warranted only if the concept to be learned is totally unfamiliar or difficult, if motivation is low or if the rate of presentation is slow. 265

TABLE 9

LEARNING CONDITIONS AND APPROPRIATE RESPONSE ACTIVITY

Appropriate Response Activity

Variables Overt Covert

Motivation Low High

Level of D iffic u lty High Low

Presentation Time Slow Fast

Response T otally P a rtia lly Units unfamiliar fam iliar

The means provided for responding must not cause a delay in responding that interferes with learning. A teaching machine that delays responding because a hand movement is called for may inter­ fere with concept learning.

Type of Practice

Practice refers to a learner’s involvement in doing something to reinforce learning. In order to improve learning the learner per­ forms the task presented or he covertly rehearses a response. He thus practices material presented. He is exercising his conceptual learning in order to strengthen it. Practice strengthens conceptual learning because it increases the stability and clarity of the new meanings and skills. It strengthens because it sensitizes the learner to potential meanings and to difficulties in learning. Practice can motivate be­ cause it can involve the learner. Types of practice are differentiated by the way in which they are distributed, by their frequency and by the 266

means used for responding. (Ausubel, 1968, pp. 274-75) Three important

considerations for incorporating practice in a message design are;

1. proper techniques for practice response,

2. proper timing of practice responses, and

3. proper amount of practice responses.

Practice responses may be made before, during and after a presentation. Anticipatory responses are elicited, by instructions or

suggestions, before learning. This type of practice can be introduced into a presentation by requiring students to imagine the correct re­ sponse and then to correct their errors after a presentation of the concept performance. (M iller, 1957, p. 94) Responses made during a presentation are participation responses. Participation responses can utilize overt or covert student activity. Post-presentation practice can occur immediately or can be delayed. Anticipatory, participation and post-presentation practice responses are classifiable according to the technique used for responding or for eliciting the response. Pos­ sible techniques include mental practice, overt recitation, motor re­ sponse, imitation, overt or covert answers to inserted questions, re­ capitulation, notetaking, test taking, review.

Uncued anticipatory responses can be totally incorrect. It is best, therefore, to ward off such responses by allowing no time for such responses. One way to do this is with a simultaneous presentation. (A simultaneous presentation makes all the cues avail­ able at once. See pages 177-81.) This conclusion means that the presenter must move to his points quickly enough to prevent students from going off on a tangent. Two corollaries to this conclusion are that it is important to establish set and that it is important to call 267

for cued responses soon enough to prevent uncued anticipatory responses.

The conclusion is suggested by a study by F. F. Kopstein and S. M.

Roshal (1955, 1961). (Gage, 1963, p. 625)

Findings on the value of specific participation and post­

presentation techniques are equivocal. Results seem to be too in ter­

woven with timing and amount of practice factors to be adequately in­

terpretable. Any significant differences or lack of significant dif­

ferences may result from increased exposure to content, to practice or

to increased motivation due to involvement.

The value of inserted questions for improving film learning

has not been proven. M. A. May studied the effects of inserted ques­

tions on learning from films. Although gains in learning were re­

ported the levels of significance for the differences found were not

reported. (May, 1947) Research on the value of inserted questions for

improving learning from other media is needed.

The value of notetaking is doubtful. Notetaking as an adjunct to normal film learning has indicated that, despite the aid to recall which it provides, notetaking interferes with learning too much to be helpful. Research is needed to determine whether notetaking with dif­

ficult material presented slowly enough to minimize interference can help learning. Many research studies have shown overt and covert verbalization of responses to be effective participation techniques.

Care must be taken, however, to use covert and overt responses as rec­ ommended on page 264. (Travers, 1967, pp. 61-79) Research has also shown that recitation, as a participation or post-presentation tech­ nique, is more effective for rote learning than for meaningful learning and retention. (Ausubel, 1968, p. 296) Another fertile area for 268

research is a study of the response techniques most appropriate for

each of the different types of concept learning (rote, meaningful,

discovery, reception, concept identification, concept attainment,

concept formation—see pages 55-58).

A technique may be suitable but ineffective if responses are

not timed properly. A delayed practice response is evoked a consider­

able time after the disappearance of its stimulus. An immediate prac­

tice response follows directly after the stimulus is presented without

allowing intervening stimuli to interfere. For example, if the task is

to tie a square knot a delayed (massed) practice response would occur

after a film on knot-tying was finished;an immediate (distributed) practice response would occur at intervals throughout the film.

Distributed (immediate) practice is generally more effective than delayed practice. Distributed practice is especially suitable for long, difficult or rote tasks. It is also the superior method for long term retention of meaningful concepts. Younger and less able learners find distributed (immediate) practice much easier to leam from than delayed practice. For example, a younger or less able learner would find it easier to leam how to add numbers in two places if they prac­ ticed on problems during the presentation instead of only after the presentation.

When a warm-up period or a long period of concentrated effort is required before responding, delayed practice may offer advantages.

(Ausubel, 1968, pp. 291-95)

It seems reasonable that one should not ask the student to start practicing u n til he has enough background and orientation so th at he w ill be likely to practice the correct rather than the incor­ rect responses. We would expect th is stage to be reached at d if ­ ferent times, depending on the difficulty of the material. 269

Although a study by the Commonwealth Office of Education (1950) concluded that it was best to hold a discussion immediately after the first showing, reinforcing the learning and retarding the rate of forgetting, in dealing with more complex material, it might be better to start the practice after the second show­ ing, when the students are more orientated and better able to perform correct responses- (Miller, 1957, p- 95)

Researchers need to establish whether delayed practice can aid in the

learning of complex concepts which are difficult to divide into seg­

ments for distributed practice- The learning of complex concepts by

delayed (massed) practice is suitable only for older, more able learn­

ers -

In a Miller-Levine experiment on the use of review as a prac­

tice response the conditions for massed review of a presentation create

the conditions for spaced (delayed) practice- Conversely, the condi­

tions for spaced review of a presentation create the conditions for

massed (immediate) practice- The condition of massed review (spaced-

delayed practice) presents a review of each section which is separated

from its initial presentation by intervening material- In the condition

of spaced review (massed-immediate practice) review of each section fo l­

lows immediately its initial practice- (See Table 10, page 270)

Miller and Levine found that the delayed covert practice re­

sponses caused by mass review produced the most learning. When an

active participation type of review was substituted for the passive

(slides with tape narration) review there was no significant differ­ ence in learning under immediate or delayed practice conditions-

(Miller and Levine, 1952) The results suggest that reception learning of concepts (concept assimilation) w ill be more effective when practice is given through a review which is delayed to the end of the presenta­ tion instead of dispersed throughout the presentation- When more 270

active responding is warranted (see page 264) immediate practice of

parts of the task may be effectively distributed throughout the

presentation. One area which has not yet been researched is the com­

bined use of active and passive practice.

The results of the Miller-Levine experiments and other experi­

ments on p ractice variables and e ffe c ts are summarized by th is writer

in Table 10.

TABLE 10

A COMPARISON OF PRACTICE CONDITIONS AND EFFECTS

Immediate Long Term Condition Revi ew Practice Retention Retention

I . (passive Spaced Massed Inferior Superior response) (throughout (immediate, presentation) distributed)

I I . (passive Massed Spaced Superior Inferior response) (at end of (delayed, presentation) massed)

III. (active Spaced Massed n.s.d .* Superior response) (throughout (immediate, presentation) distributed)

IV. (active Massed Spaced n .s.d .* Inferior response) (a t end of (delayed, presentation) massed)

*No Significant Difference,

So far research evidence indicates that short and widely spaced

practice (or review) sessions are best for concept learning as long as the practice is not so widely spaced as to allow too much forgetting,

or to fragment the task excessively. Because this conclusion is 271

derived from a small body of experimental research done with motor

learning and principle learning as well as with rote and meaningful

concept learning, it can be applied only tentatively to conceptual

communication.

Feedback to Response

Factors: Amount and Type of Feedback, Ratio and Timing of Feedback,

Postfeedback Interval

Responses to responses are called feedback. Feedback can serve

to reinforce and can add information to the stimulus. Feedback comes

from those signals which indicate something about the correctness of

individual responses. Feedback, while contingent upon the student's response, is not synonymous with reinforcement. It is one among many means for reinforcement. Furthermore, feedback may reinforce a re­ sponse, or it may lead to the extinction of a response. The condi­ tions under which feedback takes place vary in the amount and type of information presented, the ratio and timing of feedback and the post­ feedback interval.

Amount and Type of Feedback

Feedback which produces neither learning to repeat the response nor learning to avoid the response does not reinforce. When reinforce­ ment does not occur a response can weaken until extinction occurs.

Reinforcement can be described as a strengthening of a response.

There are two types of reinforcement which can occur: negative and positive. In negative reinforcement, the response is simply indicated to be wrong and in positive reinforcement the right response is given.

Positive reinforcement trains a subject to make a response by rewarding 272

or confirming (or correcting) his response. "Negative reinforcement"

describes "a way of training a subject not to make a response by giving

him a dissatisfying or punishing or tension-increasing stimulus."

(English and English, 1958, p. 453) Negative reinforcement leads to

an escape response.

The message designer should ask whether the feedback provided

actually reinforces. If it does, he should ask whether it reinforces

with success or failure, with reward or punishment. Negative rein­

forcement, such as punishment, is likely to be disruptive of learning,

inhibiting further trial and error. It is not, therefore, as desir­

able as no reinforcement or as simple correction of errors. (Bruner,

1966, pp. 207-10)

Negative reinforcement has been found to be effective in pre­

venting recurrence of errors for a while. After a time lapse, how­

ever, the negative reinforcement w ill no longer retard the undesir­

able behavior, and it may recur unless some relearning has been pro­ vided as an effective substitute. (Fry, 1963, p. 160) Feedback which does not reinforce is more desirable than feedback which rein­

forces negatively but is not as desirable as feedback which rein­ forces positively. It is better to reward (or correct) the right response or to give no feedback to a response than to punish a wrong response.

D ifferent forms o f knowledge of resu lts can be id en tified depending on the completeness of the informative feedback and on the extent to which the learner can control the instructional sequence by h is response. These various forms of knowledge of resu lts are called complete feedback (correction of response), incomplete or 273

partial feedback (confirmation of extinction of response), differential

feedback (i.e., branching programing) and invariant feedback (i.e.,

linear programing). In a complete (correction) type of feedback, the

learner is shown the correct answers. In a partial (confirmation)

type o f feedback, the learner is only given a right-^wrong in d ication .

Research findings report that complete feedback or correction

is the most effective means for using knowledge of results. It is

probable that the greater success of complete feedback is due to its

enabling learning to be more efficient because information is more

quickly and easily available. L. Bourne Jr. and R. B. Pendleton

(1958) found the superiority of complete feedback constant over

three levels of complexity. (Bourne, 1966, pp. 64-66) D. N. Michael

and N. Maccoby's (1961) research on knowledge of results found com­

plete knowledge of results superior to no knowledge of results.

They attribute this finding to the reinforcing properties

of complete knowledge of results to the opportunity it provides for

correction of errors and for an additional implicit-practice trial.

Research done by Briggs alone (1961) also resulted in showing the correct answers producing more successful learning than a simple right-wrong indicator.

The other forms that knowledge of results takes are differen­ t i a l feedback and invariant feedback. Branching programs use d iffe r ­ ential feedback because feedback given depends on the response made.

With invariant feedback, such as in linear programing, the feedback remains the same no matter what the response. Knowledge o f resu lts in a motor skill can sometimes be called differential feedback be­ cause the feedback can be adapted to the learner's response by the 274

learner's interpretation of his own errors. Differential feedback can also mean providing for self-correction as compared with teacher-

correction. The relative effectiveness of each method depends on the type of learning and on the extent to which learner's responses need individual consideration and feedback. (Gage, 1963, pp. 619-20)

To be most e ffe ctiv e knowledge of resu lts should be sp e c ific .

Knowledge of r esu lts has been effe ctiv e as a reward when applied sys­ tematically. B. F. Skinner has suggested that the mere manipulation of a teaching machine or some participation with the media of presenta­ tion may be a reward. (Fry, 1963, pp. 157-60)

Ratio and Timing o f Feedback

Reinforcement by feedback can be presented according to dif­ ferent types of reinforcement schedules. C. B. Ferster and B. F.

Skinner proposed these categories for reinforcement ratios:

1. Fixed ratio reinforcement—administered regularly after so

many t r i a l s , e.g., a reward after every five successful

t r ia ls ;

2. variable ratio reinforcement—administered irregularly but

on an average of every so many tria ls, e.g., after three

trials, after seven trials, after four trials, after one

trial, after five trials or an average of every four trials;

3. fixed interval reinforcement—administered after a set pe­

riod of time, e.g., every five minutes;

4. variable interval reinforcement—administered irregularly

but on an average of a certain period of time, e.g., a fter

one minute, after ninety seconds, after two minutes, after 275

150 seconds or on an average of every 105 seconds*

(Ferster and Skinner, 1957)

They applied these categories in research on animal learning

rewarded by food p e lle t s . In th e ir experiment variable ratio rein­

forcement proved more effective than fixed ratio reinforcement. This

was because when fixed ratio or intervals were used there was a tendency

to slack off immediately after reinforcement. With fixed reinforcement

schedules the subject could anticipate the timing of rewards. Further­

more, when a subject accustomed to reinforcement on a fixed schedule is

not reinforced on schedule, the subject quickly fails to respond.

Lyle Bourne has probed ra tio s o f feedback by studying prob­

ability of informative feedback. Research on probability of informa­

tive feedback was conducted by omitting feedback on some trials irres­

pective of the correctness of the subject's response. Bourne and

R. B. Pendleton (1958) found that om itting feedback strongly in ter­

feres with concept attainment. Bourne proposes that this is due to

lack of feedback allowing neutral stimuli to interfere because the

subject can't decide what to respond to. When feedback is omitted

on a certain percentage of trials (e.g., 30 per cent of trials), the

subject adds stimuli to his memory load because he does not leam which

of the stimuli to ignore. These distractors cause a disproportionate increase in the number of trials needed to attain the concept. If re­ inforcement is omitted on 10 per cent of fifty trials, more than five additional trials w ill be needed for the subject to perform correctly.

If it is omitted on 20 per cent of fifty trials more than 10 addi­ tional trials w ill be needed. (Bourne, 1966, pp. 66-69) 276

Ferster and Skinner's conclusion conflicts with the work of

Lyle Bourne. The question which arises from this conflict is whether

reinforcement on every trial while increasing initial learning will

lead the learner to demand reinforcement even after learning has been

acquired. In the absence of continued feedback w ill the learner re­

fuse to retain concepts.

Immediacy of reinforcement is another ratio and timing condi­

tion of feedback. Immediacy of reinforcement refers to the time be­

tween the subject's response on any trial and the presentation of feed­

back. Reinforcement can be described in this case as immediate or

delayed. There are two reasons why immediate reinforcement has been

thought to be better. First, the longer the delay the more the sub­

ject must rely on memory of the stimulus and the less information he

is liable to have retained about it. Secondly, the longer the delay

the more likely there is to be interference which may prove especially

harmful because the correct response hasn't been strengthened.

Using human subjects Robert Hayes tested the effects of "Imme­

diate Learning Reinforcement" on motor learning. His subjects used

simulators to leam to drive. Partial knowledge of results was pro­

vided by red lig h ts which indicated errors. Immediate reinforcement

by the lights increased learning. Students thus reinforced made fewer

errors in practice driving than students taking a conventional driver

education course. (Hayes, 1966) G. W. Angell (1949) determined that

immediate knowledge of quiz results was significantly more effective

than delayed knowledge of results. In Angell's experiment delayed

knowledge of results occurred a day or two after the test (in the next recitation section meeting). (Angell, 1949) 277

Experiments on lower animals have found that the effect of the

longer delay is deleterious when the animal is engaged in other activi­

ties during that delay. Lyle Bourne Jr. and C- V. Bunderson (1963)

investigated delay of informative feedback using human subjects. Their

experimental task was a concept identification problem. They found

that delay of feedback had no deleterious effect. They assumed that

this was due to the largest delay being only eight seconds and to the

fact of no interpolated activity. (Bourne, 1966, p. 71)

The writer thinks that there is probably a critical limit to the delay in terval—a point beyond which delay in terferes even though no activity is interpolated. This point probably varies according to the memory capacity and motivation of the learner. In any event, the safest procedure seems to be to present feedback as soon as possible.

When there is a delay before feedback, non-relevant activity should not be allowed to occur during this period.

Postfeedback Interval

A 1957 experiment conducted by Lyle Bourne Jr. revealed a variable which confounded the e ffe c ts of delay of feedback. This vari­ able was the postfeedback interval. This variable should not be con­ fused with delay of informative feedback, which is delayed reinforce­ ment. Postfeedback interval seems to be a more important determiner o f learning than immediacy of reinforcement. Postfeedback in terval is the time interval separating informative feedback and the presentation of the next stimulus. If the first stimulus is represented as S^, the response as R, the feedback as F and the next stimulus to be presented as S2 , we have 278

Si > R < -

Post Feedback Interval

In 1963 Lyle Bourne J r . and C. V. Bunderson replicated Bourne’s

1957 experiment on delay in terv a ls. Bourne and Bunderson discovered

that learning did not seem to take place immediately and automatically

as a function of reinforcement. This is not surprising in view of the

evidence that some forgetting and an interval of at least an hour is

necessary for retention.* This time Bourne tried to keep the postfeed­

back interval variable effects independently of the delay of informa­

tive feedback interval variable effects. He found that increasing the

postfeedback interval helped learning. The facilitating effect of ex­

tending the postfeedback interval increases in magnitude with task com­

plexity . The more complex the concept learning problem, the longer

the interval from feedback to presentation of the next stimulus should

b e.

In Bourne's 1963 experiment no activity was interpolated during

the postfeedback interval. The data indicated that the subjects used

the time for some task relevant activity such as rehearsal, hypothesis-

revision, memorization or otherwise processing information received

from the feedback. (Bourne, 1966, pp. 70-72)

As with delay of informative feedback, there seems to be an

optimum length for postfeedback interval. This is the length of time beyond which the delay no longer facilitates learning or beyond which delay starts interfering with learning. Allowing time for too much

*See p. 124. Also Ausubel, 1968, pp. 98-109 279

forgetting from one trial to the next can have a detrimental effect on

learning. In 1967 Bourne collaborated with David H. Dodd, Donald E.

Guy and Donald R. Justensen on an experiment on optimal duration times

for postfeedback intervals. Observing the effects of intervals of one

through tw enty-five seconds they found an in terval beyond which per­

formance worsened and up to which performance improved. This optimal

in terv a l was around nine seconds for problems with one irrelevant

dimension. For more complex problems, problems with five irrelevant

dimensions, the optimal interval time was seventeen seconds.

When the long interval was used on only part of the trials,

it did not appear to make any reliable difference whether the long

interval was limited to correct or incorrect response trials. Learn­

ing of complex problems was best when all trials had long postfeedback

intervals. In their conclusions the authors propose a ceiling effect

theory.

Having some (approximately f i f t y per cen t, conditions I and III) is nearly as facilitative as having all (Condition IV) long intervals under the performance conditions used here. There is then the possibility of a ceiling effect, which might be explored by varying the percentage of long inter­ vals (randomly assigned to trials, irrespective of S's re­ sponse) across conditions in these problems. On the basis o f current d ata, performance would be expected to improve directly and monotonically with this percentage up to some optimum. (Bourne, et a l . , February, 1967, p. 8)

In designing a presentation for concept learning the media

specialist is advised to use feedback in these ways. Reinforce the

right answer or correct the answer by giving the complete right

answer. Reinforce by feedback frequently. If delay of feedback is warranted, allow as little task irrelevant activity to interpolate

as possible. If the problem is complex extend the interval between 280

feedback and presentation of the next stimulus. Don't remove the dis­

play before the learner has time to process the information received

from the feedback.

Before ending this chapter the writer would like to stress that

although the many curriculum design and audiovisual design factors have

been analyzed separately, they seldom have independent influence- Be­

sides interacting with learner variables they interact with each other.

With a specific educational goal, a certain presentation order may be

advisable only if suited to the ideal response strategy and to the num­ ber of instances to be presented. If there are too many instances to be presented concisely simultaneously then a successive presentation is in order. This presentation order may be ineffective if a scanning strategy is used. Therefore, it is advisable to cue a more desirable strategy. This hypothetical design problem reveals why it is necessary to make design decisions intendependently.

The conclusion given on page 86 bears reiterating as a conclu­ sion to this chapter. The complexity of the learning problems con­ fronting the teacher, the number of students a teacher must help, and the limited time a teacher has available for preparing materials all suggest that it may be futile to expect teachers to effectively apply learning principles without the help of the media specialist. We need curricular packages which have sound learning principles as their or­ ganizational base. The media specialist's job is to prepare materials based on principles substantiated by research evidence. The teacher's job is to use materials according to principles substantiated by re­ search evidence. Both the teacher and the media specialist can thus 281 influence the characteristics of the communication. Both the teacher and the media specialist can, therefore, determine the characteristics of the concepts formed. CHAPTER VII

THE CHARACTERISTICS OF THE CONCEPTUALIZER

We know that learners vary or can be categorized according to

age or maturity, sex, personality and ability- We also know something

about the conceptualizing patterns of different types of learners-

Consequently, we can forecast methods of conceptual communication

suitable for different types of learners- An authoritarian person­

a lit y cannot handle or produce ambiguous concepts as other learners

can- A message designer should allow for factors such as low toler­

ance to ambiguity- Consequently, for some learners ambiguous content

may be inadvisable-

For each learner the characteristics of several types of learners are relevant- A learner is not just a preschooler- A learner may be male, preschool and deaf- Or a learner may be adult, authoritarian, and culturally deprived-

In this chapter learners are categorized according to age, sex, personality and ability differences- It should be recognized that there is some unavoidable overlapping between categories which the writer ignores- For example, sex differences could be related to back­ ground or cu ltu ral differences- Age differences could be related to ability differences as could sex differences- Nevertheless, since much research has been done on sex differences and on age differences and

2 8 2 283

since these factors are distinguished from, as well as associated with

the other factors, they are considered separately.

The writer reminds the reader about the earlier discussion of

design factors, conceptual processes and the characteristics of con­

cepts. Learner differences are influenced by each of these. A cul­

turally deprived learner cannot produce imagery and verbalization as

can an enriched student.

Age Differences

The effects of age on concept formation seem to fa ll, at

present, into these categories: (l) changes which accompany the men­

tal development of the child as he progresses into adulthood, and (2)

changes which accompany the aging o f adults.

Mental Development

Jean Piaget's Work

Jean Piaget pioneered the study of the conceptual development of the child. All of Piaget's theorizing about the development of in­ telligence pivots around the structure or the organization of thought.

He refers to structure as organizational properties of intelligence, or organizations created through functioning (manners of responding) and inferable from the content of thought (the uninterpreted be­ havioral data—guesses, estimates, perceptions).

The writer has developed Table 11 to show Piaget's periods, subperiods, stages and substages. This table is based on the writings of J . H. Flavell and Lee Cronbach. (Flavell, 1963; Cronbach, 1963) 284

TABLE 11

PIAGET'S THEORY OF MENTAL DEVELOPMENT

Conceptual Periods Subperiods Stages Substages Development

Sensory (0-1 mos.) 5 substages- Acquiring Motor (1-4 mos.) prehension sen sori­ (0-2 y r s .) (4-8 mos.) motor (8-12 mos.) control (12-18 mos.) (18 months-)

Concrete Preopera- Beginning Extraction Operations tio n a l representa­ of concepts (2-11 yrs.) tio n a l from (2-4) thought experience

Represen­ Simple repre­ In tu itiv e tation s sentations use o f (2-7) (4-5 1/2) or concepts in tu itio n s

Articulated In tu itiv e representa­ use o f tions (5 1/2 - concepts 7) or in- • tu itio n s

Concrete Concrete operations opera­ (7-11) tio n a l thought

Formal Mastering Operations formal (11-15 yrs.) operations

Granting Piaget his due, let us consider the criticism that has been made of his work and the findings of studies which have repli­ cated his work. First, a critique of Piaget starting with his methods of research. Piaget believed that the only way to get at the heart of 285

a child's cognitive structure to describe it as it really is, was to make careful observations of ongoing task behavior in response to a

stimulus ; sometimes with experimenter intervention and sometimes without experimenter intervention. His experiments are conducted usually as either an observer only or as experimenter determinant in which he poses simple questions to clarify a child's answers. There are dangers and difficulties associated with this clinical method:

1. Even the h igh ly sk illed interview er must always guard

against temptations to lead and to suggest.

2. There is always the danger of missing the significance

of important behavior.

3. There are evaluation pitfalls. One should not try to

either overestimate or to underestimate the child's

intellectual level through incautious interpretations.

4. One must be able to identify those structural charac­

teristics which many children of the same age possess

and which can thereby define a meaningful stage or level.

Piaget is also a developmental psychologist and as such uses longitudinal studies. The dangers of time effects and allowing con­ founding variables, such as environmental factors, to confuse the experimenter are associated with the longitudinal method. Further­ more, Piaget often based his data on observations made with only a few children—in many cases his own children, who had been used as subjects many times before and thus might have exhibited practice e f f e c t s .

Moreover, in presenting his data Piaget often makes it d iffi­ cult for the reader because: 286

1. The primary data in the form of behavior protocols

are presented in the text of his study.

2. The primary data are preceded, followed and accompanied

by a great deal o f commentary.

3. He seldom gives information such as tested intelligence,

socioeconomic background, number of children performing,

e t c ., which i s usually provided in most reports in the

field of child psychology.

One might also say that Piaget has a tendency to overgeneralize

on the basis of experimental tasks as well as on the basis of the num­

ber of subjects tested. Most of his experiments were concerned with mathematics, physics or logic; yet he generalizes his observations to apply to all thought. And, often the experiments deal with a few selected concepts in each of those areas; yet he often generalizes his observations to all mathematical or physical or logical thought.

There is a far higher ratio of discussion, analysis and interpreta­ tion to the amount of data presented than is usual.

Because Piaget is primarily concerned with developing a theoretical system to describe the changes in thought patterns, he becomes more concerned with general principles than specific laws.

Piaget's work is more oriented toward description and explanation of the developmental change than to making predictions. Since his descriptions are mainly explanatory rather than predictive, his theories could also be characterized as "loose" rather than "tight" in their specification of content meaning.

I f Piaget had done the major part of h is work la te r in th is century he might not have produced data which i s so separated from 287

other research streams. His tendency to think, produce and write in

r e la tiv e iso la tio n from others' works is probably both a strength and

a weakness. Since the field needed a pioneer and a theoretical system

to start testing, it was probably to Piaget's advantage not to head

the scattered, specific research findings available.

However, h is work might have more meaning i f i t had been cor­

related with research on child training patterns, on ability differ­

ences, on maturation and on measurement of child development.

P ia g et's works show a strong b e lie f in the power of careful reasoning to decide among possible interpretations. While this is true, care­

ful reasoning should also be checked by further experimental evidence.

Hence the need to replicate and add to many of Piaget's experiments.

Careful reasoning should lead to choosing the best alternatives for testing, but it does not obviate the need for testing. Probably be­ cause of time and other limitations, many of Piaget's theoretical formulations are based on careful reasoning of alternatives only, without further experimentation. It should be noted, however, that his perceptual studies were designed and presented much more com­ pletely than his intelligence studies.

A second major criticism of Piaget is that he did not take sim ilarities among children and adults or the differences among chil­ dren of similar ages sufficiently into account. Piaget's categories or stages are presented too rigidly. His writings seem to have a pen­ chant for symmetry and neatness of classification. As a result his divisions between children's and adult thought and between the levels of thought seem too arbitrary. Piaget notes that there is much over­ lapping among stages and variability among individuals, but he does 288

not emphasize such qualifications strongly enough to prevent his cate­

gorization from seeming too arbitrary.

Piaget implies that logical thought dominates the adult but not

the child. He implies that intuitive associational thought dominates

the child and not the adult. It has been found that associational

processes dominate in adults unless intentional (deductive) set is

established. In other words, associative processes w ill dominate when

adults do not deliberately attempt to form concepts, and deductive

processes w ill dominate when they do. Evidence suggests that associa­

tive processes, as compared with deductive processes, are primary among

young children and older children who have a limited memory or atten­

tion span. Evidence also supports the conclusion that children of

superior intelligence attain concepts by testing hypotheses while chil­

dren of average intelligence attain concepts on a more rote basis.

(Amster, 1965) The maturity and ability of the child affects the pro­

gression and presence of stages. A very young child often uses logic

in a match-non-match way and even in a deductive way. Furthermore, according to Kenneth L ovell,

We are s till at a loss to understand why some pupils who have clearly developed first- and second-order operational schemas*

*A schema, according to Piaget is similar to a concept. It is the motor equivalent of a concept. A schema must be (l) an organized totality, (2) a behavior sequence, (3) a cognitive structure likely to repeat itself. A first order schema is an elementary grouping which has characteristics (l), (2) and (3). Only mathematical concepts which can be derived from contact with r e a lity are f ir s t order schema. F irst order schema include the logical operations of adding, subtracting, measuring, equating. Second order shcema are v isu a lly reached at eleven years of age. Second order schema involve more complex rela ­ tio n sh ip s. Examples of second order schema are proportion mathe­ matics and heat in physics. Second order schema depend on f ir s t order schema being detached from their concrete contexts and manipulated. (Klausmeier and Harris, 1966, pp. 213-16; Flavell, 1963, pp. 52-55) 289

find great difficulty in forming mathematical concepts. Far from a ll pupils who are backward in mathematics are intellec­ tually dull, emotionally disturbed, or have had a pucity of relevant experience. (Klausmeier and Harris, 1966, pp. 220-21)

That the very young child is never capable of some true social

maturity or awareness is also debatable. The idea of true social ma­

turity is not developed sufficiently enough by Piaget to allow this

question to be answered. The writer feels further that the child can

distinguish play from reality earlier and more often than Piaget sug­

g e sts.

A third major criticism of P iaget's work i s that i t depends so

much on the correctness of his assumptions about logic and structure.

Piaget's view is one of holism. He interprets everything in terms of

its organization as a total system. His writings show a continual

moving back and forth between experimental findings and philosophical

problems•

Of a ll the criticism s th is third criticism i s the one most cru­

c ia l to the study o f communication o f concepts. I t ra ises the question

of whether the differences Piaget discovered are due to language prob­

lems rather than inability in logical formulation of a problem. If

this is so, then many concept learning differences associated with age

could be overcome by language development.

A fourth criticism is that Piaget begs the question of the

cause of conceptual development differences associated with age. His

answer that such differences are caused by growth of logical ability

leaves us with another question. This question is to what extent in­

ability in logical formulation is culturally caused or the result of maturation? Piaget says, "both," without clarifying the relationship 290

between these two causal factors. Jerome Kagan explains why Piaget's

theoretical structure is as of yet inadequate for explaining the con­

ceptual changes associated with age.

The noteworthy flaw in Piaget's prodigious output is the absence of any set of theoretical statements that accounts for how or why a child passes from one stage of operations to another. A second void is the absence of a systematic description of the nature of the conceptual structures the child possesses at any one stage in development. What is the hierarchical organization of concepts at age six in contrast to age two or twelve? (Klausmeier and Harris, 1966, pp. 98, 113-14)

A fifth criticism could be made of Piaget's equating logical thought with abstract thought. Does not the preoperational child who concentrates on one aspect of an object abstact? Since not all con­ cepts are at the same level of abstraction, it is possible that a level of concrete conceptual thought could be equated with abstract thought just as, or even more, correctly as could logical thought.

Finally, a sixth criticism could be made of Piaget's emphasis on sensory responses made during infancy. This emphasis is placed by the label Piaget gave the first eighteen months—the sensory-motor stage. A motor-sensory label gives motor behavior, not perception, the primary place in this stage of child behavior. A sensory-motor stage gives perception, not motor behavior, such as grasping or crawling, the primary place in this stage of behavior. It is perhaps more a motor- senory stage. Until our means for testing sensory responses at earlier ages are better developed and our findings are more extensive Piaget's sensory-motor label can at the most be accepted only tentatively.

(Klausmeier and Harris, 1966, pp. 106-107)

Before we conclude our consideration of Piaget let us acknowledge some findings of studies which have replicated his work. Generally, the 291

conclusion of the studies which have replicated Piaget's work agree with

Piaget's progressive passing through stages but find more variability than Piaget suggests.

Piaget reported that abstract responses to mass first appeared at age 11-12. According to Piaget, the criterion of an abstract con­ ception of mass is the child's judgment of its conservation, its same­ ness despite perceptual change. P. Elkind replicated Piaget's work and confirmed his finding on a child's understanding of conservation of mass and weight but not of volume. Elkind's study extended Piaget's experiments further to junior and senior high school students (12-18 years) and found that age, sex and intelligence influence the attain­ ment of an abstract concept. (Elkind, 1961)

In a classic study, P. G. Dodwell tried to do a more thorough investigation of Piaget's work on numerical concept development.

Dodwell's results confirmed the behavior Piaget had associated with his stages but found the stages did not necessarily occur in Piaget's sequence and that the stages were not necessarily as distinct from other stages as Piaget indicated. (Dodwell, I960)

Henry Van Engen and Leslie Steffe studied "First Grade

Children's Concept of Addition of Natural Numbers" and found a sig­ nificant relationship between intelligence and ability to abstract the concept of addition of whole number from the physical situation.

This and other findings were interpreted as follows:

Two possible interpretations of the results were offered, the more logically acceptable being that children at the first grade level have not abstracted the concept of addition from physical situations but have memorized the addition tasks. (Van Engen and S te ffe , 1966, p. ix ) 292

In a study on "The Performance of First Grade Children in

Four Levels o f Conservation on Numerousness and Three IQ Croups

When Solving Arithmetic Addition Problems" Leslie Steffe manipulated

and observed the effects of four levels of thought, of three ability

groups in each level of thought, or explanation of transformation

versus no explanation and of the presence of physical and visual

aids in an arithmetic addition task. He found that explanations and

physical and visual aids helped such problem solving. (Steffe,

1966)

Some of Piaget's work on the development of imagery has been tested further by Barbara Boe. Piaget theorizes that the child de­

velops mental imagery in order to be able to represent space. Boe

interprets this theory to mean that there must be imagery involved in hypothetically sectioning a solid figure and reproducing a concrete representation of it. She conjectures that if such mental imagery is developed, it is realistic to suppose that a multiple choice response test would result in a higher response score than a drawing response test. The results of her experiment on "Secondary School Pupils'

Perception of the Plane Sections of Selected Solid Figures" showed this was not the case.

She interprets this finding to mean that mental imagery may not be as developed for this age as Piaget would imply. (Boe, 1966, p. 30) Furthermore, performance showed no sig n ifica n t improvement through all grade levels. This suggests that the development of operational thought does not proceed as naturally with maturation as Piaget tries to persuade us. 293

Jerome Kagan's Work

In an article entitled "A Developmental Approach to Conceptual

Growth" Jerome Kagan tries to identify (1) the conceptual units asso­

ciated with developmental stages and (2) the reasons that conceptual

structures change with experience. Kagan describes the conceptual

units and processes associated with each age up to age ten. He de­

scribes how conceptual development is influenced by attention vari­

ab les.

Kagan's theory is important because it attempts to relate in­ tellectual development to more than the concrete-abstract continuum or the progressive development of logical thought. Kagan views a child's intellectual performance as the results of the interaction of elemen­ tary skills in labeling and rules of transformation and of attention determinants, such as motives, standards and sources of anxiety. He theorizes, that a child has difficulty progressing to certain stages because of genetic, school, and home factors.

Here are some of Kagan's thoughts on the characteristics of stages of conceptual development.

The first 12-18 months are characterized by growth of per­ ceptual schema. The first schema to develop are related to those stimuli that have natural attention-getting qualities (such as high contrast and movement) and those that have been associated with reward (primarily food and tactile contact). Rate of growth in schema is related in part to variability of input from the human beings who are sources of reward. . . . Learning to perceive, attend, focus and assimilate a stimulus to a schema, as well as attending to violations of that stimu­ lus, are the major cognitive developments in this first stage of human growth. The second period of cognitive growth is marked by the on­ set of expressive language and a rapid increase in capacity for comprehension of speech which occurs usually between 13 and 18 months. The most important development during this time is the growth of a labeling vocabulary. The child acquires a s e t of symbols that allows him to categorize and conceptualize aspects 294

of his environment. Responses are attached, in turn, to these categories. There are also some basic rules of organization, so-called transformation rules, that are being established and these tend to describe a functional-relationship basis between objects, in contrast to an analytic or categorical basis. . . . Empirical investigations of preschool children and their cate­ gorizations of people and events confirm the prediction that good-bad, male-female, large-small, and adult-child are four fundamental conceptual dimensions the preschool child uses in organization of this world. The early school years are witness to a flowering and crys­ tallization of the basic cognitive structure of the child. Al­ though the growth of a labeling vocabulary continues to be im­ portant, it now assumes secondary significance alongside the now rapid growth of two other basic conceptual processes.. One in ­ volves the growth of rules for transformations and the second the growth of the habit of evaluation- (Klausmeier and Harris, 1966, pp. 102-11)

Harvey, Hunt and Schroder's Work

According to 0. Harvey, D- Hunt and H. Schroder there are four stages of conceptual development, each stage representing a further progression along the concept-abstract thought continuum.

The stages are described as follows.

1. Unilateral Dependence (external control)

Conceptual systems in the first stage are characterized by external control, by the acceptance of externally de­ rived concepts or schemata not built up through experience with the actual stim uli, and by the absolutistic nature of such concepts . . . thinking is more concrete ("this is the way it is because it is"); behavior associated with this stage is characterized by a greater immediacy, by greater sensitivity to lim its, to what is right and wrong, to what is tolerated and not tolerated , and by greater sub­ missiveness to external control.

2. Negative Independence (negativism)

Second stage concepts represent a d ifferen tia tio n from external forces, but such concepts are not highly articu­ lated. However, they are the foundations on which informa­ tional and independent standards can develop and represent the initial form of internal control. 295

3. Conditional Dependence and Mutuality (mutuality)

. . . The progression is from externally derived structure (first stage) through resistance to external control (second stage) and, if this can be achieved, to a more empirical ap­ proach in the third stage. Group functioning in the third stage is characterized by cooperation instead of submission and by competition rather than dominance and opposition. During this stage, mutuality, obtaining sa tisfa c tio n from pleasing o th ers, and empathy re­ place unilateral functioning and concern with dominance and power. A new basis for relating to people is established. No doubt the advent of language has much to do with this initial progression to third stage functioning. In child development functioning more typical of the transition from the second to the third stage and of the third stage is modal at ages three, seven and eight, and again perhaps at fourteen and fifteen. We would expect an association between speech problems and increasing difficul­ ties in developmental transition to the third stage.

4. Interdependence (independence)

In the fourth stage mutuality and autonomy are in te ­ grated so that neither interferes with the other and yet both are important. We refer to this integration as posi­ tive interdependence. The nature of subject-object linkages at this level is abstract, interdependent, and informational. . . . The most general characteristic of such abstract func­ tioning is resistance to stress. Concrete functioning may be categorized by more decisiveness, but it breaks down more rapidly under stress.

(Harvey, Hunt and Schroder, 1961, pp. 94, 98, 101-104, 106-109)

This progressive conceptual development has been represented diagrammatically by Harvey, Hunt and Schroder in Figure 30 on the following page.

The Growth of Intellectual Abilities

Our knowledge of the growth o f in te llig e n c e i s dependent on the validity of our testing devices. The stability of test scores indicates the validity of the generalization that there is increasing differentiation and integration of intellectual abilities with age. 296

Stages of Conceptual Development* F irst Fourth Stage Second Third Stage External Stage Stage In ter- Cycle Age Negativism Mutuality dependence

1 1/2

2 1/2 Infancy 3 3 1/2-4 1/2

Childhood

it * III 11 Late 12 - 14 Childhood 15 - 16

*Based on an interpretation of the normative observations taken at the Gesell Institute (llg and Ames, 1955). **This part of the graph is hypothetical to show the expected progression to more abstract functioning in the third cycle.

■\ Fig. 31.—Cyclical and saccadic nature of progressive social development. (Harvey, Hunt and Schroder, 1961, p. 96)

Intelligence testing also indicates that there is an initial (infancy and preschool stage), an intermediate stage (preschool to adolescence) and a la te r stage. Because measurement of the in i t ia l stage has largely been of sensorimotor development that stage has seemed unrelated to the intermediate stage which has been measured by tests of various corre­ lated cognitive activities and to the later stage which has been measured by the differentiation of various intellectual abilities. 297

Findings on the developmental rate of specific conceptual task

relevant abilities are of interest. Simple rote memory develops before

general intelligence, vocabulary or arithmetic ability. More meaning­

ful and analytic types of memory develop relatively late. Vocabulary

and language ability develop sooner than reasoning abilities. (Ausubel,

1968, pp. 233-35)

Howard and Tracy Kendler (1956) asked, When does the child

reach the age of reason? As a consequence they designed a study pri­

marily to determine whether children three to four years old would be

capable of inferential behavior. Using a simple and direct procedure

they found that nursery school children could do inferential reasoning.

They a lso found th at order of presentation affected the likelihood of

inferential behavior occurring. N. R. F. Maier (1936) used a more com­ plex problem and found nursery school children could not do inferential reasoning. (Dececco, 1963, pp. 271-76) Evidence supports the hypothe­ sis that deductive processes are used more as the child grows older.

Evidence also supports changes in methods of grouping asso­ ciated with age. Subordinate grouping increased from ages 6-19 while complexive grouping decreased. Subordinate grouping was preceded by grouping according to heaps. Heaps are groupings on the basis of ar­ bitrary structure. Subordinate groups are groupings on the basis of a rule which accounts for a ll members o f a s e t. Complexes are group­ ings on the basis of a rule that does not account uniformly for all members of a set. Types of features used for classifying also changed. The tendency to categorize on perceptual bases (6-9 years) declines while categorizing on the basis of function increases.

(Amster, 1965) 298

Verbal and Nonverbal Development

Some of the changes in nonverbal development parallel language

development. Helga Eng has included a chapter on children's drawings

as an expression of their mental development in The Psychology of

Children’s Drawings. According to Eng there is a wide parallelism

th at can be proved to e x ist between the ch ild 's drawings and h is

speech, his formation of concepts and his thinking. For example,

when children are at the babbling stage they are also at the scrib­

bling stage. In both cases they are concerned with the whole rather

than the part. Imagination can make connections for the child be­

tween the scribbles and words babbled, especially in the later stages

of scribbling. Furthermore, as a child learns speech by imitation,

self-expression, repetition and new language acquisitions, so he leams

drawing by imitation of mental pictures or objects, by presenting his

own version of perception, by learning ways of representing and prac­

ticing them. As a child grows, his drawings become more complex just

as h is speech does. He becomes aware o f perspective drawing, r e a lis tic

color, highlights and shading. A child's early drawings although weak

in some ways testify to an imagination which is active and lively.

Similarly, a child's early speech although crude testifies to ongoing active verbal concept formation just as his drawings testify to on­ going active nonverbal concept formation. (Eng, 1954) Verbal and non­ verbal development between grades three, four and eight was compared by Norman Eagle using the Lorge-Thomdike intelligence tests. The es­ timated nonverbal changes were found to be more than three times as great as estimated verbal changes. (Eagle, 1966) 299

Lack of language development may be due to lack of concept

formation, rather than lack of concept formation being due to lack of

language development. More likely the two are interdependent. In a

study of "Expectancy and Perception of an Ambiguous Figure in Pre­

school Children" J . Reese and LeRoy Ford Jr. found some perceptual

development to be hampered by lack of concept formation. Six nursery

children were shown pictures of either animals or human faces and were

required to name them. The subjects were then asked to state their

expectancy about the next picture before it was named. The subjects

were then shown a rat-man ambiguous p ictu re. The resu lts showed that

the subjects more often got a stronger set and percept with the animal

p ictu re. Human set was harder to estab lish in young children than

animal set and once established mediated concepts less well. The

fin din gs suggest that the d eficiency in mediation found in young c h il­

dren may be a characteristic of early stages of concept formation,

rather than of early stages of child development. (Reese and Ford,

1962)

Striking changes in word associations have been found to be

concomitant with age. Jean Berko discovered that as age increased there was more matching of words with word class (noun, pronoun,

etc.) and less matching of the word with word meaning. The extent to which this phenomenon is due to education is not known. Doris

Entwisle studied word association s of young children. She found that one word calls forth several phrases or images. She also found that words were associated more by grammatical function than by meaning as children grew older. (Entwisle, 1966) On the basis of this and other 300

research, the writer postulates that conceptual language development

progresses from concrete to functional to abstract usage.

Aging

The study of aging deals with developmental trends after adult

maturity has been reached. It is important to understand that conclu­

sions about the aging process do not necessarily imply any inherently

natural progression or irrevocable state. Furthermore, there is a

wide variability among people of the same age group. Changes in in­

telligence which are associated with age can be due to cultural role

expectations, to education or lack of it, to environmental situations,

or to biological-physical changes, and to research errors.

General in te llig e n c e as measured by in tellig en ce te s t s seems to decline steadily but slightly with aging until about fifty years

and then to decline more sharply. (See Figure 32, page 301)

Relative superiority within a group and between groups is maintained, however. A person of superior intelligence w ill remain superior, although there is intellectual decline compared to his or her earlier level. C. C. Miles and W. R. Miles (1932) found that the d eclin e measured could depend on the type o f t e s t administered. There was greater decline and decline showed at an earlier age when speed tests were used. There have been some contradictory studies which found an increase in in te llig e n c e associated with aging. These in ­ creases have been attributed to continuing education. (Tyler, 1956, pp. 340-50)

Generally learning abilities hold up well. Older subjects do seem to leam a little less readily and the deficit increases with 301

100 Wechsler Full Scale

80

Otis

U) oS u CO 40

20

20 Age

Fig. 32.—The development of general learning ability as shown by three intelligence tests. (Dickinson, 1969, p. 55)

age. Older groups tend to show exaggerated tendencies towards the very types of mistakes that are troublesome for people in general.

Modifying a pattern is what becomes difficult. The greatest deficit in learning ability due to aging is likely to be ability to adapt read ily to change. However, as David Ausubel points out, while the individual does not continue to grow as rapidly in his ability to solve novel problems, he extends his knowledge about and ability in ,302

solving old problems. Ausubel describes the latter as an increase in

horizontal intelligence and the former as an increase in vertical intel­

ligence. According to Ausubel, intelligence testing has primarily meas­

ured increases in vertical intelligence. (Ausubel, 1968, pp. 231-33) The

consensus is that age does not prevent learning.

In making decisions about conceptual communication objectives and

methods i t i s important to know which sp ecial a b ilit ie s seem to decline

with age. Contrary to common opinion motor skills are not the earliest

to mature and the quickest to d eclin e. They hold up w ell u n til advanced

age as does judgment. It is visual perception which matures early and

is the first to decline. Other sensory and perceptual skills also tend

to decline early, such as deafness to high pitches, less sensitivity to

touch, to taste, smell, pain. However, there is generally no signifi­

cant decline in these perceptual abilities before the fifties. While

motor s k ills hold up w ell u n til through middle age, there i s a change

in the methods by which task s are done. The idea seems to be that by

changing to a different procedure it is possible to maintain a complex

skill even when perceptual abilities decline. Increased efficiency

from reorganization compensates for decreased perceptual efficiency.

Whereas vocabulary and reading a b ilit ie s tend to remain con­

stant or increase with aging, nonverbal abilities such as numbers and

reasoning decline with age. Memory decrement before advanced age de­ pends on the subject matter and the extent to which it is used. Re­

sults with the Wechsler-Bellevue test showed the least age decrement to occur on the information test and the most on the Digit Symbol t e s t . 303

In "Learning in Adulthood : the Role of Intelligence" Nancy

Bayley considers what kinds of intellectual abilities show growth into

adulthood? And, how are these related to concept learning? What are

the implications for the teaching of concepts to adults? (Klausmeier

and Harris, 1966, p. 117) Bayley reports on the examination of intel­

ligence in adults by L. M. Terman (a study she also worked on) and by

herself in the Berkley Growth Study.

It is hard to generalize Terman's findings to the general pop­

ulation because his subjects were gifted people and their spouses. It

is also hard to generalize Terman's findings to general intelligence trends because his testing was almost entirely of verbal abilities.

Terman defined intelligence as the ability to carry on abstract thinking. He devised a test for adults called the Concept Mastery Test.

Because his conclusions are based on scores on this test one could cor­ r ec tly assume that he equates abstract thinking processes with high le v e l concepts. The Concept Mastery Test includes the subtests of synonyms, antonyms and analogies. Although both are highly verbal, the former requires word knowledge, the latter relatively more reasoning. There was more increase on the synonym-antonym scale than on the subtest that required more reasoning, less rote verbal knowledge.

Terman's study was a follow-up of his study of gifted children.

The former gifted children and their spouses were used as subjects.

The study included ages 20-50 years. While all scores showed increases, there was a tendency for the greatest increase to occur in the males and for the least to occur in the older groups of the wives of gifted males.

Terman's study indicates that ability to leam (at least in verbal areas increases with age (at least to fifty) in people of superior intelligence. 304

The Berkley Growth Study was designed to compensate for some

of the shortcomings of the Terman study. Its population was more rep­

resentative of the general population, and its several subtests in­

cluded nonverbal and verbal abilities. There were research difficul­

tie s, however, which could not be overcome. The study was longitudinal

and therefore subject to attrition and confounding environmental fac­

tors. Practice effects of repeated testing could not be controlled.

The mean education for the fifty-eight longitudinally followed cases

was 15.5 years. The mean education of the group of fathers of the

sample originally chosen was 13.7 years. Attrition seemed to change

the nature of the sample little.

The Berkley Growth Study used the Wechsler-Bellevue Test of

Adult Intelligence (W-B) and the Wechsler Adult Intelligence Scale

(WAIS). These are called the Wechsler Scales of Intelligence. Adults

were studied to the age of thirty-six years. Generally, it appeared

that the intellectual potential of subjects for continued learning is

unimpaired through thirty-six years and, it was hypothesized, probably

beyond to at le a st f if t y years or longer.

The study's conclusion was based on findings that generally

intelligence scores remained stable. Scores on verbal subtests in­

creased. Other exceptions were that there was a slight decline in

female performance on most nonverbal tests after age twenty-six and that arithmetic and digit span scores declined in both males and fe­ males after age twenty-six. (Digit span is a subtest of recall from memory.) With males there was an improvement in scores on block de­ sign tests and a decline in scores on picture competition. Generally, however, males maintained stable scores on nonverbal tests. The 305

verbal test of similarities (as it had in other studies) showed no in­

crease but remained stable. Bayley notes that the Berkley Growth Study

and other research studies have indicated that the continued ability

to leam seems to depend not just on intelligence and aging but also

on motivation, drive, ample time and opportunity factors in learning.

To summarize: for older adults message designers may need to

reorganize lessons on complex sk ills so that common mistakes are avoided

and to use presentation methods that do not cause time pressures. Extra

care in explanation and reinforcement should be given in nonverbal skills learning. Continuing education helps prevent decline in concep­ tual ability. Conceptual development probably becomes more dependent on verbal presentation after aging occurs.

Sex Differences

The results of research on sex differences in general cognitive ability have proved to be so insignificant and so inconsistent from one test situation to another that they are of little use. Another reason for their relative worthlessness is the great variability found within each sex. There are too many exceptions to allow one to generalize easily about the intellectual characteristics of either sex. The more generalizable differences seem to lie in the area of emotions, apti­ tudes and attitudes. Even in these areas it is as yet impossible to pinpoint the causes of any differences. The exact extent to which the differences are biological, cultural, educational or experiential in origin is not known. Cultural and other experiential factors seem to contribute most to any sex d ifferen ces. 306

It would be h elpful for determining the extent to which sex

differences are culturally caused if another extensive investigation

like the L- M. Terman and the C. C. Miles study of 1936 was conducted.

This study administered a battery of tests with items designed to

measure m asculinity or fem ininity as defined by our culture. Data

were gathered from many occupational, age and educational level

groups. The battery consisted of tests on Word Association, Inkblot

Association, Information, Emotional and Ethical Attitudes, Interests,

Opinions and Introvertive Response. If this study were replicated

today and extended to include tests of specific cognitive abilities

the results could be compared with the findings of the 1936 Terman

and Miles study and the Dorthea McCarthy studies on language develop­

ment. The effects of culture could be revealed by changes over time.

Biologically caused sex differences which influence cognitive

achievement include the tendency of girls and boys to mature at dif­

ferent rates and the greater vital capacity of males. Because girls

mature sooner their linguistic abilities may have had a better chance

to develop so that by the time a girl enters school she has an advan­

tage over a boy. Her maturity may also make it easier for a girl to

adjust to a school atmosphere. While the development acceleration of

girls has been proven, the intellectual acceleration of girls is still

only inferred by analogy with physical development.

The average male weighs about 5 per cent more than the average

female at birth and about 20 per cent more at age twenty. He is about

1 to 2 per cent taller than the female at birth and about 10 per cent taller at age twenty. From early infancy he exhibits more vigorousness and restlessness. He seems to be able to inhale and exhale a much 307

greater volume of a ir from h is lungs. (The amount of a ir that can be

inhaled and exhaled is called vital capacity. Vital capacity is an im­

portant factor in sustained energy output.) In early childhood the

average vital capacity of boys exceeds that of girls by about 70 per

cent, by adulthood the male excess is about 35 per cent.

The ratio between body weight and vital capacity is called the

vital index. At all ages the vital index of boys is greater than that

of girls. Even in proportion to his size, the average male consumes

more fuel and produces more energy than the female. The greater vital

capacity of males may increase the likelihood of their manipulating

and coming across a variety of mechanical objects. This may indirectly

facilitate the development of clearer mechanical concepts. Aggressive­ ness and dominance may also be fostered by th e ir greater v it a l capacity.

This may lead to greater achievement and control by males.

The specific cognitive aptitudes attributed to each sex by our western culture seem to result from rearing boys and girls in different subcultures. Boys and girls receive differential treatment in many ways. Whatever the cause—biological or cultural or both—the cogni­ tive differences between the sexes can be sketched as follows.

Females excel in verbal fluency. While females have an early superiority in verbal reasoning and verbal fluency, they do not neces­ sarily surpass males in knowledge of discrete word meanings. When word knowledge tests are controlled for sex differences, no significant dif­ ferences are found. The language ability of boys is more variable.

This is primarily due to increased incidence of language disturbance among boys. About four to six times more boys than girls are af­ flicted by stuttering. ("Stuttering,” World Book Encyclopedia, 1969, p. 744) 308

Support for environment as well as maturational causes of sex

differences in language ability comes from studies which show the only

child or first child to have superior verbal ability regardless of sex.

Amount of conversational contact with adults seems to be a very impor­

tant factor in the development of verbal ability. In England, boys

surpass girls on vocabulary tests. Negro boys in this country sur­

pass Negro girls on vocabulary tests. This is further evidence for

the roles of experience and cultural expectation in language develop­

ment.

Girls excel in school achievement but not in nonschool achieve­

ment. In a follow-up of the Stanford Gifted Child Study two-thirds of

the women with IQ's of 170 or above were housewives or office workers.

Most of the women who have achieved prominence have done so through

their position as wives, mothers or daughters. (Bird and Briller,

1968)

The women who achieve the most intellectually in nonschool en­ vironments have many masculine characteristics. Females excel in memory, esp ecia lly in lo g ic a l memory and in memory for d e ta ils . Women

seem to have a much more vivid mental imagery than men in every sense modality. When tasks require accuracy, manual dexterity, frequent shifts if attention, or rapid perception of details, women are superior performers.

They show superior clerical aptitude. On the Minnesota Cleri­ cal Test, for example, women were far superior to men in checking simi­ larities or differences in lists of names and numbers. This difference was significant from fifth grade through twelfth grade. The reason for this superiority on this and other clerical tests is that the tests are 309

speed tests. Women excel in perceptual speed when categorizing and dif­

ferentiating is required. Girls excel in categorizing ability on non­

speed tests too but only until the sixth grade. (Ausubel, 1968, p. 242)

Girls tend to set their aspirations lower no matter what their

ability. They also revise their aspirations downward more quickly when told of inadequate achievement. Men are less apt to accept more realis­ tic aspirations in the event of failure.

Women are mainly interested in occupations dealing with people's welfare. Women tend to be more impulsive. Women do not have as many vision defects as men. (Anastasi, 1958, pp. 47 0-92)

One other characteristic of women is their field dependence.

This means they find it harder to disregard the perceptual field and environment. The environment controls their response more. They are less able to find embedded figures in confusing contexts for example.

Despite their ability to perceive details they use a more global, scanning, non-analysis approach to problem solving. They find it hard to resist irrelevant cues. (Ross and Messick, 1962, pp. 201-202)

Eckhard H. Hess (1965) has used records of pupil size and eye movement in reaction to pictures to study sex differences in inter­ ests. He found men paid more attention to the whole picture and women concentrated more on special areas in the picture. Women showed more interest in people and men in buildings and the general environment.

Women were interested in facial features and foreground objects. Men were interested in d e ta ils of clothing and equipment in background fea tu res.

While g ir ls are very dependent on environment, boys seem to be dependent very much on emotional climate. Different child rearing 310

patterns can produce different emotional climates and thus can lead to

cognitive differences. Boys with positively evaluating, equalitarian,

affectionate mothers tend to have high intelligence quotients. The in­

te llig e n c e quotients of g ir ls do not seem to be as related to emotional

climate as much as are boys’-(Klausmeier and Harris, 1966, pp. 130-33)

There are other sex differences attributable to males. Males

seem to be b etter able to restructure a problem. They can solve prob­

lems by approaching it in different ways—by reconstructing the prob­

lem. There is some evidence that superior ability in restructuring is

a matter of attitude. As such, it is susceptible to training. (Tyler,

1956, p. 253) While males excel at some types of problem solving,

females may be able to handle better the less structured problem

solving situation. This is an especially good area for research.

In more abstract conceptual thinking such as scien ce, mathe­

matics and history, men seem to excel. Perhaps abstract thinking is

made more difficult for females by her more vivid, concrete, people

not object-oriented imagery. Men find it easier to form concepts which

have visually expressed form characteristics as defining attributes.

Males fractionate more when visually analyzing a stimulus. (Bruner,

1966, pp. 11-12) A boy breaks the stimulus up into more parts and thus

comes to associate more characteristics with a concept he has formed.

Males have a significantly greater average category width. (Crane,

1965, pp. 44, 45) This means a boy has a greater probability of asso­

ciating a correct concept when presented with only a fraction of a

stimulus. It also means a boy is likely to have more flexibility in hypothesis formation and testing. Males also excel in tasks which 311

require large body movements and in tasks which require spatial orienta­

tion. They are more object than people oriented.

When the effects of sex differences on concept attainment have

been studied directly, findings have revealed no significant differences

in overall ability. (Van Engen and Steffe, 1966) There are some differ­

ences due to the kind of concept being attained•

A study by Wayne Frederick revealed no significant differences

in average speed of concept attainment. However, in attaining the con­

cept women did make fewer card choices and did react more to the dif­

ferences between the training concepts. The results of Frederick's

experiment suggest that females have more difficulty in attaining a form concept when they must represent it figurally instead of ver­ bally. (Frederick, 1965, pp. 14-15)

What are the implications of sex differences in concept attain­ ment for conceptual communication design? None of the implications is substantiated well enough to be offered as a principle. Nevertheless, these nine implications are preferred as starting points for further research.

1. Perhaps the comparative rarity of specialization of in­

terests in women until recently has contributed to their

inability to maintain their lead in achievement. Women

should be encouraged to take a deep interest in a few

special areas of conceptualizing. (Tyler, 1956, p. 260)

2. Perhaps the environment should be very free of irrelevant

cues when girls initially leam a concept.

3. Girls should be trained in restructuring a conceptual

problem. 312

4. Boys w ill probably develop concepts better in a warm,

equalitarian emotional climate.

5. Girls handle form concepts best probably when the con­

cepts are given verbal labels.

6. It may be helpful to give young boys special opportunities

for adult conversation and young girls special opportunity

for outdoor play and object-oriented conversation.

7. Males may need sp ecial help in verbal s k ills . Females

may need special help in spatial manipulation of concepts.

8. Allowances probably should be made for boys needing to

proceed at a slower rate on manual dexterity and perceptual

tasks and girls needing to proceed more slowly on tasks re­

quiring large, continuous outputs of energy. Boys should

probably be allowed more time when forming concepts. Girls

should probably be allowed more time when collecting expe­

rience.

9. Girls may need special training in "fractionating"—

analyzing a mathematical or mechanical concept into many

component a ttrib u tes.

Such information may be most helpful, not for maintaining sex differ­ ences, but rather for enabling us to take them into account, so that both sexes have an equal chance at all kinds of concept attainment.

Personality Differences

So far the only personality types to have had extensive re­ search done on their concept formation processes are the extreme types, authoritarian and schizophrenic. The more extreme personality types 313

are easier to id en tify and measure because th eir syndromes of charac­

teristics seem to be more consistently and completely present and con­

sequently, yield le s s ambiguous measurements. (English and English,

1958, p. 384)

For the purpose of this study "personality" shall refer to pat­

terns of physical, affective and cognitive traits which determine be­

havior tendencies—probable reactions or responses. One might ask how

the construct "personality" differs from the construct "cognitive struc­

ture." The terms are nearly synonymous being distinguished primarily

by the nature of the research and theory supporting each construct. The

emphasis of personality is on emotional tendencies—on emotional causes

and effects. The emphasis of cognitive structure is on habitual organi­

zational tendencies—on cognitive causes and effects. This study will

not consider abilities separately from personality traits as is cus­

tomary. Cognitive abilities will be related to personality traits and

discussed as cognitive style.

Conceptual Systems

0. J. Harvey, D. E. Hunt and M. M. Schroder prepared a massive historical survey and theoretical study in which they attempted to in­ tegrate cognitive and dynamic th eories of development. They examined diverse areas such as child development, attitude change, psychopathology and personality measurement. They tried to relate research findings on child training to research findings on adult personality, especially in the cognitive structure area. Some of their theoretical system has al­ ready been described on pages 294-95, 296 under the top ic Mental Devel­ opment . In brief, they postulated that there were three conceptual 314

systems or stages which have to be passed through before maturity or

conceptual System IV is reached.

A conceptual system in our view is a schema that provides the basis by which the individual relates to the environmental events he experiences. It describes, in part, how he will per­ ceive and experience these events. (Harvey, Hunt and Schroder, 1961, pp. 244-45)

Thinking at the level of any of the systems. I, II, III, or IV, can

assume one o f two forms depending on what dimensions predominates.

Problems such as threat produced by increased pressure can prevent transition from one stage to the next.

I f the w riter were to recommend any one book as supplementary

reading on conceptual communication, it would be Harvey, Hunt and

Schroder’s book on Conceptual Systems and Personality Organization.

Their theory is constructed in great detail. Their theoretical system warrants further testing to determine if it holds up as well practi­ cally as it does theoretically. Until this further testing is done, their ideas can be presented as suggestive and provocative but not as established truths.

It is important to realize though that Harvey, Hunt and Schroder did test some of their theory. Furthermore, they note when their theo­ ries have not been tested experimentally. (Ibid., p. 264) System I was not tested as extensively as were Systems II, III and IV. There was more previous research available on System I (authoritarian personality studies) than on the other systems.

The present dimensional structure and its method of derivation are quite different from Eysenck's which was developed by factor analysis of psychiatric ratings and other standard measures. We have proceeded on the basis of theory, observation and experimen­ tation, viewing factorial and other statistical approaches as means for testing derived hypotheses. (Ibid•, p. 324) 315

The aspect of their theory which is of most interest for this

study is presented in Chapter Ten, "Modifications of Conceptual Systems:

Education and Psychological Therapy." The chapter describes the impli­

cations of their theories for conceptual modification by education.

The general aim of the progression from Systems I to IV is to

produce a conceptual structure less vulnerable to harmful internal and

external influences. This means that the general aim of modification

by education is to produce a more abstract conceptual structure.

Harvey, Hunt and Schroder characterize this abstract conceptual struc­

ture with creativity, stress, tolerance, flexibility cr adaptability.

They hypothesize that personalities which have excessive closedness* have a chance to progress to more abstract conceptual systems through

education.

The authors state that in order for structural change to occur, there must be openness to progression. When one desires to reduce ex­ treme closedness special procedures are recommended.

Two general principles apply. First the procedure cannot deviate too far from the conceptual baseline of the structure of the per­ son. Second, the determinants of the current structure provide the logical basis for selecting appropriate procedures. One must know how the structure developed in order to know how to change i t . (Ib id . , p. 335)

As examples Harvey, Hunt and Schroder give these suggestions.

To reduce System I closedness one can create a simpler le s s ambiguous environment as is done when schizophrenic patients are hospitalized.

In Stage II closedness can be the result of perceived threat from

*"Openness-closedness refers to the receptivity of the system to external events or varied interpretations of the situation. Com­ plete closedness would mean the inaccessibility .to external impinge­ ments; i f one's concepts were completely closed they would be impossible to refute." (Harvey, Hunt and Schroder, 1961, pp. 76, 82) 316

pressures towards imposed control or toward dependency. Therefore,

progression is fostered when adult control is more minimized in favor

of self or group control. Casual friendliness may encourage progres­

sion from Stage I I .

Because Stage III closedness is more abstract than Stage II

closed n ess, verbal methods may be more effectiv e for encouraging pro­

gression than they would have been in Stage II. Thus, in-depth dis­

cussion may be more helpful.

The factor most important to the success of a procedure with

each system is called a system's area of sensitivity. System I is

sensitized to react negatively to ambiguity. System II is sensitized

to react negatively to imposition of restriction. System III is sen­

sitized to react positively to source attractiveness. System IV is

sensitized to react positively to source competence (information poten­ tia l). Thus System I personalities tend to make overgeneralized re­

sponses in concept formation. System II personalities would, in

forming concepts, sort on the basis of restrictio n s imposed by the stim ulus. In System III concept formation would be influenced by normative evaluations of concepts. System IV personalities would sort on the basis of information potential. (Ibid., pp. 263-64)

Thus i f in Stage II the communication i s made to seem le ss potentially restrictive the behavior is less likely to be restriction of the message. Similarly, if the learner is in Stage III and the source is made attractive, then the learner behavior is more likely to accept the message. If the learner is in Stage IV and the source's competence is stressed, the learner is more likely to accept informa­ tion presented. 317

The authors note four training conditions and their interaction with the conceptual stages or levels. Because the conditions were de­ duced from child studies, they are defined more in terms of parental be­ havior in the home than teacher behavior. Similar conditions could be

expected in the school. Classroom climates and training conditions can vary in consistency, in dogmatism, in freedom allowed.

The training conditions are defined in Table 12, which is taken from Conceptual Systems and Personality Organization.

TABLE 12

DEFINITIONS AND EXAMPLES OF TRAINING CONDITIONS

Condition

R eliable Unreliable P rotective Informational U nilateral U nilateral Interdependent Interdependent

D efin ition Arbitrary, In con sist­ Encourages sub­ Encourages sub­ but con­ ent con­ jects to ex­ ject to explore s is t e n t. t r o l. Ex­ plore environ­ environment. im position cessiv ely ment, but Reflects infor­ of source- high goals. guides ex­ mational conse­ defined In d iffer­ ploration . quences to sub- standards ence and Source an­ j e c t . Subj ect or abso­ n e g le c t. tic ip a te s reacts to conse­ lu te c r i­ fa ilu r e. quences of own terion . behavior.

Examples Overdomina­ Parental Some forms of Intrinsic eval­ tion; auto­ rejection; maternal over­ uation (Ausubel, cratic parental protection 1952). Some train in g; n e g le c t. training that forms of demo­ bureau­ Overly emphasize cratic training. cra tic high de­ "getting along Autotelic activi­ role mands with others" t i e s (Anderson tr a in in g . based on and avoiding and Moore, (Merton, impulsive fa ilu r e. 1959). 1940) or chang­ ing standards.

Source: Ibid., p. 133. 318

The varying effects of the different training conditions are

given as amount of openness to Poles A-F. Poles A-F are the opposing

poles of the conceptual system at each stage. (Table 13)

TABLE 13

POLES OF CONCEPTUAL SYSTEM AT EACH STAGE

Stages Poles

I. A. External control

B. Opposition to external control

II. C. Negative independence

D. Dependency on others

III. E. Mutuality

F. Autonomy

Source: Ibid., pp. 116-17

The interaction between training conditions and conceptual stages has the hypothesized consequences for concept development shown in Table 14 on the following page. To use Table 14 the communications designer could decide what conceptual stage the learner was at and then check on the effects of a proposed training condition on that stage.

If the student seems more interested in his independence than in consid­ ering information it is likely he is at Stage II of conceptual develop­ ment. If so, he will flourish under protective interdependent or in­ formational interdependent training conditions and fail under unreli­ able unilateral training conditions. TABLE 14

INTERACTION BETWEEN TRAINING CONDITIONS AND STAGES OF DEVELOPMENT

Training Conditions

Stage R elia b le U n reliab le P ro tectiv e Informational or Level U n ila tera l U n ila te r a l Interdepend ent Interd epend ent

F ir s t Openness to Pole A and Openness to Pole B and Openness to Pole A and Openness to Pole A Stage closedness to Pole B. increasing closedness Pole B. Plus Stage III and P ole B. Plus Arrestation at Stage I to Pole A. tendencies in Pole A. Stage IV tendencies.

Level I Openness to Pole B and Integration of modi­ Integration of T ransi­ closedness to Pole A fied Pole A and Pole B. Pole A and P ole B. tio n increasing.

Second Failure to integrate Emergence of Stage II Emergence of Stage Stage P ole A and Pole B- concepts. Increasing II con cep ts. Open­ Closedness to Pole A relative openness to ness to Pole C and and to P ole D. Ar­ P ole D. Pole D. Stage IV restation to Stage II. ten d en cies

L evel II Openness to Pole D and Integration of Pole T ransi­ closedness to Pole C C and P ole D• tio n increasing •

Third Failure to integrate Emergence of Stage Stage Pole C and Pole D. III concepts. Closedness to Pole C Openness to Pole E and Pole F . A rresta­ and P ole F. tion at Stage III. CO (-■ so TABLE 14— Continued

Training Conditions

stage Reliable Unreliable Protective Informational or Level U n ila tera l U n ila tera l Interd epend ent Interd epend ent

Level III Integration of T ransi­ P ole E and Pole tio n F.

Fourth Emergence of Stage Stage IV con­ cep ts .

Source: Ibid., p- 134.

CO to o 321

The problem with Harvey, Hunt and Schroder's theoretical system

is that it is one dimensional. Conceptual development is seen only in

terms of the abstract-concrete continuum. Furthermore, in their system,

concreteness seems to mean rigid and authoritarian.

Personality Types

Authoritarianism

A few personality types have now generated considerable amounts

of research on conceptualization. Foremost among these well-researched

personality types is the authoritarian personality. The classic re­

search in this area was done by T. W. Adomo. (Adomo, 1950) Adorno

identified the authoritarian personality as,

( l ) r ig id ity , the intolerance o f ambiguity, and the dogmatism of attitude, (2) a greater tendency toward anti-introceptive orientations as opposed to reflective insight, (3) the anti- scientific attitudes based on a relative inability of question rules, dogma, or principles, and (4) an anti-democratic ideology. (Harvey, Hunt and Schroder, 1961, p. 176)

Adomo constructed an F scale (prefascism) to measure authoritarianism.

Harvey, Hunt and Schroder classify the authoritarian personality as ar­

restation at System I functioning. (Harvey, Hunt and Schroder, 1961, pp. 211-18) David Reisman describes an extern ally-con trolled , conform­

ing personality as tradition-directed.

Authoritarian p erso n a lities seem to accept messages most

readily from institutionally derived high status sources. The concep­ tualization of such personalities is characterized by categorical judg­ ments which are too black and white, too rigid, too either/or. The authoritarian personality tends also to be more highly anxious. 322

Zoitan p. Dienes designed an experimental study of the connec­

tion between the cognitive and orectic (appetitive) aspects of person­

ality. Dienes' findings are in line with other findings about the

authoritarian's personality. He found that the more stereotyped a per­

son's personality is, the more that person thinks in concrete and un-

creative terms. Furthermore, the less intelligent subjects showed more tendency to stereotypy.

Dienes also suggests ways of measuring how people organize con­

cepts and the rigidity or flexibility with which they hold these organ­ izations of concepts. (Dienes, 1965, pp. 9-10) A large number of con­ cepts usually means that an individual is flexible enough to organize his concepts in many ways. Concepts which are organized into smaller regions are usually more rigid and produce a point of view that is harder to shift.

Ruth Gordon's study of the controllability of imagery (see page 131) resulted in a significant relationship between controlla­ bility of imagery and the rigidity with which beliefs are held. The less a person was able to control his imagery the more rigid a thinker he tended to be. For example, upon being presented with a stimulus and asked to produce as many associations to it as possible, the more rigid thinker stopped after giving one or a few associations. They could not associate fluently. (Gordon, 1962)

A subject's performance in a task of restricted association may be highly task-specific, however. Evidence of this is provided by P.

Hofstaetler, J. O'Connor and A. Suzieddis' study of "Sequences of Re­ stricted Associative Responses and Their Personality Correlates."

(H ofstaetler, O'Connor and Suzieddis, 1957) This study found no 323

relationship between number of associations produced in a limited amount

of time and temperamental characteristics or performance characteristics

as measured by Thurstone's factors V and W. Gordon's task was to pro­

duce associates to names for common stereotypes. It may be, therefore,

that controllability of imagery is related to authoritarianism only

when known stereotypes are involved.

It would be helpful if there were more research on the relation­

ship between student dogmatism and the success o f various in stru ction al

approaches- Harvey, Hunt and Schroder suggest that for the authoritar­

ian personality learning w ill be likely to occur only in situations with

a high degree of structure and clearly prescribed rules of behavior.

Int roversi on-Extraversi on

Zolton Dienes also tried to find out if there was any relation­

ship between introversion-extraversion and cognitive style. His re­

sults were equivocal. Introversion correlated positively with anxiety,

cohesion (connectedness of stories) and general intelligence in boys

but only with cohesion in girls. Anxiety seems to play a different

role in a girl's personality. In girls anxiety is more connected with

conformity. (Dienes, 1965, pp. 62-63) Extraversion correlated with

conformity in boys.

The writer believes there is a need for more research on any relationship between the factors of introversion-extraversion, of im- pulsively-reflectivity and of conceptual system- Is an introverted personality likely to be reflective, and if so is he likely to be a mature thinker? Will an introverted personality who is impulsive be likely to be compulsively independent? Questions such as the foregoing 324

need to be asked experimentally. The need for such research is under­

scored by the finding that authoritarian personalities avoid introspec­

tion and by the hypothesis that impulsive thinking is associated with

less involvement in intellectual mastery than reflective thinking.

(Bruner, 1966, p. 10)

Mental Disturbance

D. Moriarty and L. Kates state that researchers of schizo­

phrenia, however, divided on other issues,

. . . agree that schizophrenia is a reaction to severe inter­ personal disturbance in infancy and early childhood with a re­ sulting sensibility to interpersonal stimuli, particularly to stimuli that threaten personal security. (Moriarty and Kates, 1962, p. 355)

Schizophrenic conceptualization is characterized by being

1. Unrealistic—a lack of integration of private concepts

with reality, an inhibition of the checking of concepts

with reality, with outside sources;

2. Private—no agreement with others on meaning can be

reached, so cia l communication becomes d if f ic u lt ;

3. Overgeneralized—overinclusion of meanings associated

with a concept, inclusion of incorrect objects in a con­

ceptual category;

4. Open—the more open a concept is the more abstract it is

and the fewer the attributes that are used to define it;

thus the concept becomes private, not public. (Pikas,

1966, p. 71)

5. Rigid—incapable of shifting from a thought pattern.

The schizophrenic is more dependent on interpersonal communi­ cation than is normal. He finds social concepts difficult to attain 325

or retain, perhaps because they are threatening. They might touch on

sensitive areas. All of these characteristics of schizophrenia may be

summed up as a lack of differentiation, especially of reality and un­

r e a lity .

Harvey, Hunt and Schroder offer the opinion that although ex­

treme System II functioning is often considered the form of mental

disturbance that is most dangerous for society, extreme System I func­

tioning may be a more dangerous form of mental disturbance. Witness

Nazism and other forms of intolerance as contrasted with the aggres­

sion, hostility or rebellion of delinquents. The former accepts or

promotes external control to such an extent that it becomes a more

general organizational influence than the System II behavior which

often rejects external control entirely.

Because the classic Goldstein studies in this area found that

schizophrenics had narrow concepts characterized by over-exclusion of

objects from a conceptual category, the thought of schizophrenics was

originally believed to be characterized by extreme concreteness.

(G oldstein and Scheerer, 1941) Later research by N. Cameron advanced

the theory that impairment was greatest in social concepts so that

there was not necessarily a general deterioration of abstract ability.

Cameron further challenged K. Goldstein’s theory of over-exclusion.

(Pikas, 1956, pp. 69-74) Cameron found schizophrenia more character­

ized by over-inclusion. L. J. Chapman clarified the issue somewhat.

He found th at i f brain-damaged p atien ts were considered separately

from schizophrenic patients, brain-damaged patients gave evidence of

over-exclusion and schizophrenic patients, of over-inclusion. Chapman

could separate these two types of disturbance because schizophrenia 326

could now be identified by the social disarticulation characteristic

(in general, impairment of social concepts only). Thus, it was de­

cided that rigidity was not synonymous with concreteness.

In schizophrenia there is rigidity of more abstract thought.

Yet schizophrenic thought is not characterized by concreteness or

over-exclusion but rather by openness (abstraction) and over­

inclusion (overgeneralization).

The rigidity of schizophrenia is thus related to systematic

training which allows for no dissent. The rigidity of brain-damaged

thought is thought to be due to a biological inability to function

at a higher conceptual level.

Ability Differences

Types of learners classified according to ability differences include the mentally retarded, the culturally deprived, the physically handicapped, the gifted, the creative, the middle class, the rural, the suburban, the urban, the modem, the primitive. In this sec­ tio n the ch a ra cteristics of each of th ese types which are most impor­ tant for conceptual communication w ill be related to the training methods which experience has shown to be most e ffe c tiv e with that type. Because each person belongs to national, geographical and socioeconomic groups as well as to other groups, it is clear that a person can be categorized by more than one ability type.

Mentally Retarded

One of the important issues in educating the mentally retarded i s suggested by fin din gs which seem to have co n flictin g im plications.

The cognitive abilities of mentally retarded children who are kept in 327

the simpler institutionalized environment deteriorate. More stimulating

environments and education seem to cause improvement in mentally re­

tarded children. On the other hand, Samuel Kirk and G. Orville Johnson

state that the usual classroom environment is too stimulating to allow

mentally retarded children to concentrate. (Kirk and Johnson, 1951)

Teachers are urged to dress plainly and simplify methods and surround­

ings. It is hard to judge Kirk and Johnson's conclusions because there

are confounding factors such as amount of attention given and the com­

plexity or simplicity of lessons. It would not be surprising if there

were optimal conditions or amounts of complexity or simplicity for the

mentally retarded just as there are for normal learners. Moreover,

different mentally retarded learners w ill probably differ in the amount

of complexity they are able to tolerate in their learning environment.

Mentally retarded pupils are often hyperactive and very dis- tractible. They have poor imaginai, verbal and memory ability. (See page 130) They can enjoy monotonous ta sk s. (Kirk and Johnson, 1951)

Teachers of the mentally retarded have been advised to enforce their conventions and rules very consistently; to be more concerned with patterning, than with motivating; to avoid talking too much by engaging students in "doing" activities; to structure learning by topical activities which are easy to remember; to avoid discovery learning which requires mental leap s. Rote learning methods are rec­ ommended. Abstract content and creative learning activities are not recommended.

Some mentally retarded children are not able to place things in sequence. They need to leam to do activities step by step. The 328

mathetic* approach to programmed instruction has been found to help

mentally retarded learners place activities in sequence. Labels and

marks can help mentally retarded learners recognize parts. Games and

play can help the mentally retarded child improve his coordination.

It is difficult for them to do abstract thinking, to general­

ize, to form concepts. Nevertheless, the retarded can form and

verbalize concepts; although they have more difficulty than normal or

schizophrenic students in shifting from one correct concept to another.

According to Kirk and Johnson, when the mentally retarded are to be

taken on field trips, special controls are recommended. Students can

be schooled in advance to stop and look every six steps. With the

mentally retarded, too great a change in a scene can cause wildly

overreacting emotions that are difficult to handle.

The most important aspect of conceptual communication with the

mentally retarded seems to be confidence. They need to have confidence

in their own ability to leam. Teachers need to have confidence that they can leam some things when the correct approach is used. (National

Institutes of Health, 1968, pp. 14-17)

The writer thinks that conclusions that the mentally retarded are incapable of attaining abstract concepts or of being creative need further research. It may be that under the right learning conditions the mentally retarded can show some constructive creativity and can

*The mathetic approach is designed to keep motivation contin­ ually before the student. The program starts with the event to be achieved—the motivating event. The program then proceeds to the steps immediately preceding the final event. Then the program re­ views these steps and the final event. By this means the program eventually reaches the in itial steps. A mathetic program proceeds from the final event to the first steps. There is review throughout the program. The motivation is kept before the student. 329

attain some abstract concepts* This reaction is prompted by Leon

Radaker's findings on the imagery of the mentally retarded. (Radaker,

1961) Radaker found the imaginai ability of the mentally retarded to

be poor. Consequently, he tried pretraining the mentally retarded in

imagery before he attempted to teach them spelling. The pretraining

helped their learning. It may be that pretraining in creativity or

generalizing could help some of the mentally retarded leam.

The perceptual image received by the mentally retarded i s d if ­

ferent from that received by normal children. Retarded children with

perceptual disturbances may be unable to recognize the whole and may

see only a part of it. Normal children see figures against ground—

see parts related to whole. Retarded children may see only a part

and not recognize the whole* (Thresher, 1962) Because they have dif­

ficulty in copying as well as in perception of the whole perhaps due

to confused brain perception, the mentally retarded need extra oppor­

tunity to practice copying and concept identification.

Culturally Deprived

I Cultural deprivation seems to be a cause of mental retardation,

especially when coupled with environmentally caused emotional disturb­

ances and biologically caused low intellectual ability. Among learners

of marginal (close to retardation) intelligence more members of the

lower or culturally deprived classes develop mental retardation than

do members of the upper classes. Culturally deprived learners have many characteristics in common with mentally retarded learners. Cul­ turally deprived learners characteristically have poor verbal ability including fewer concepts, poor usage and sentence structure and a 330

smaller vocabulary, especially in relational words like conjunctions*

They are used to sparse, emotional, authoritarian conversation; thus,

th e ir language background i s more " restricted." A child from a more

enriched background w ill ch a ra cteristica lly use a more "elaborated"

language. (Smith, 1966, pp. 427-41)

Because objects are not as readily available to the culturally

deprived, th e ir imaginai background i s also often poor or at lea st d if ­

ferent. Research is needed on the extent to which the imagery of the

culturally deprived is poor or simply different. The culturally de­

prived are very anxious in a school environment. Their concentration

spans are short. They are more responsive to the prospects of imme­

diate than delayed gratification. The culturally deprived have a

greater need for security.

The teaching methods most e ffe c tiv e with the cu ltu ra lly de­ prived are not surprising. They seem to need cultural enrichment; activity, not lectures; short lessons; training in learning skills; tangible rewards and incentives; guided discovery or structured learn­ ing; immediate reinforcement; a warm, accepting atmosphere; praise and friendship and help in developing a self-concept (a feeling of self- id e n tity ) .

One of the issues which needs investigating is the extent to which the cumulative effects of cultural deprivation can be reversed.

Another relevant issue is whether there are critical periods for learning certain things. If so, to what extent are these periods determined biologically, and to what extent can they be determined by educational preparation or readiness? Another issue is the means by which cognitive drive can be u tiliz ed most su ccessfu lly for 331

culturally deprived learners. How can the aggressiveness and violent

imaginations characteristic of many of the urban culturally deprived

be directed into constructive, perhaps creative, channels?

The culturally deprived need compensatory education in concept

formation which means very detailed instruction in areas where th eir

background i s poor. We should not forget th at most learners are cu l­

turally deprived in some areas. Even middle class learners can have

poor backgrounds for learning. Boys are often culturally deprived in

some areas and girls in others. (Klausmeier and Harris, 1966, pp. 189-

206; Robison and Mukerji, 1965; Taba and Elkins, 1966)

Middle Class

Social class differences in child rearing, values, interests and attitudes influence the conceptual needs and abilities of middle class children, as well as those of the more culturally deprived chil­ dren. Middle class children consistently score higher on intelligence tests than do lower class children. Much of this difference may be due to a middle class verbal bias built into intelligence tests. Middle class children have less difficulty with verbal problems than do lower class children.

While lower class children need security most, middle class children are most concerned with advancement and success. Middle class learners are likely to be better adjusted. They show strong artistic and literary interests, have more social poise, security and confidence in themselves and others and report fewer fears and anxieties. (Anastasi, 1958, p. 512) 332

Middle cla ss parents demand more conformity. They are more

likely to stifle creativity. On the other hand, the middle classes en­

courage education and intellectual development. The middle class child

is likely to be reared in a warm, child centered home and to leam to

value interpersonal relationships. He is sometimes sheltered from re­

sponsibility, or overprotected.

Because middle class children are studious, value education,

and trust adults they adjust well to schools. However findings on the

middle class suggest that there is wide variability within it. Because

independence is given later, middle class children may be more immature, more inhibited, less aware and more conforming. This suggests that the school’s job is to give special encouragement to creative, independent thought and experience with the values of other classes.

The average middle class child wants to be given work, but does not want to be challenged to the extent th at the g ifted child does.

This is probably because the average middle class child values success and has more fear of failure than does the gifted child.

Rllral/Suburban/Urban

Rural, suburban and urban cultures produce a b ility differences just as socioeconomic classes do. Rural cultures can produce a kind of deprivation in terms of conceptual sophistication; whereas urban depri­ vation may be more in terms of verbal and imaginai abilities. This is because rural cultures are more homogeneous and iso la te d . In some areas, such as Appalachia, rural cultures produce both types of cul­ tural deprivation—verbal ability and cultural sophistication.

The middle class child has also been described as lacking sop h istication because he is often isolated in a homogeneous group 333

and overprotected. However, because his parents are more likely than

the rural child's to be educated, the middle class child is less likely

to be conceptually unsophisticated or naive than is the rural child.

By a lack of sophistication this writer means a certain lack of

"cosmopolitanism" or a narrowness of view. The urban child is more

likely to come in contact with many different viewpoints and is there­

fore, more likely to develop a tolerance for ambiguity. While the ur­

ban deprived need compensatory education in verbal skills and the sub­

urban children need to be encouraged in independent concept develop­

ment, the rural child often needs both a compensatory education in

verbal skills and an education which encourages independent thought.

As with other isolated groups there often tends to be an age

decrement in intellectual development in rural areas. In other words, the intelligence quotient of rural children and adults often declines with age. (Anastasi, 1958, pp. 524-31) The detrimental effects of poor educational environments become cumulative. The more isolated the group, the more likely there w ill be a decrement and the larger the decrement is likely to be. Generally, rural children score lower on in tellig en ce te s ts than do urban and suburban children.

Rural subjects work more slowly in experiments unless prompted to hurry. Prosperous farm areas produce higher scores on intelligence tests than the poorer rural areas. This intelligence quotient differ­ ential might be due to the urban, middle class verbal bias of tests, to a less stimulating environment or to differences in the educational system, such as required teacher preparation. (Ibid., p. 533) This is supported by the finding that rural schools in Great Britain do not generally produce students with inferior educations. (Ibid., p. 527) 334

The British education system is able to maintain a more consistent

quality of education even in rural areas. In Great Britain, the oppo­

site is likely to be true, deprivation is most likely to be related to

urban areas. A factor which needs investigation is the extent to which

deprivation is related to urban or rural areas in other countries.

Primitive/Modem

The developmental levels in the acquisition of motor and cog­

nitive skills seem to be surprisingly uniform in hierarchy across cul­

tures. The age or time of these developments does not hold across

cultures. The intellectual or conceptual potential of learners does

not seem to differ from culture to culture. (Beaglehole, 1967) Be­

cause of different socialization processes, however, conceptual ability

does differ from culture to culture. The differences seem to divide

into differences associated with primitive cultures and with more

tech n ologically advanced or modem cultu res.

The conceptual learning and abilities of primitive and modem

cultures contrast in the following ways, beaming in a primitive cul­

ture tends to be by rote, to be continuous and to be object-centered

(fairly direct symbolic learning, sign learning), beaming in a modem

culture tends to be based more on reasoning, to be more discontinuous

and to be abstract symbol-centered (fairly indirect symbolic learning,

leaming from symbols interpreted by other symbols).

By discontinuous leaming is meant the necessity to switch

from one form o f behavior to another with l i t t l e preparation. In modem societies there is sharp separation of the mature from the immature personality. This produces discontinuities. Some of the 335

d isco n tin u ities in the American culture which produce conceptual con­

flict are (l) between one's family and the wider world, (2) between

generations, (3) between play and work, (4) between submissiveness and

assertiveness, (5) between childhood self-control and adult indulgence,

(6) between education and occupation. (Kneller, 1965, pp. 95-114) In

primitive societies the transition to mature independence is more

gradual and continuous. It proceeds regularly by small degrees.

Conceptualization in a primitive society is more concrete,

simpler and more homogeneous. Conceptualization in a modem society,

on the other hand, i s more abstract, more complex and more heteroge­ neous. A modem society must tolerate more differences and ambigui­ ties. Therefore, conceptual change is rapid. In a primitive society today conceptual change occurs very slowly. Early in the history of man this was not true. The concepts taught in a primitive society are stable (Aristotelian classifications). The concepts developed in a modem so ciety are dynamic (flu id , changing). This means th at a highly technological, modem society needs education to develop flexible, adaptable conceptualizers. (Kneller, 1965, pp. 67-94)

Another difference between primitive and modern conceptual development is that the primitive society proceeds by family instruc­ tion. The modem society proceeds by formal instruction through many institutional organizations.

In a primitive culture the leamer develops the concepts society decides are needed. The learner in a modem society has more leeway to determine what he will leam. In a modem society a leamer is supposed to determine the conceptual areas he wishes to pursue. 336

The differentiations made by primitive cultures are different

from those made by modernized conceptualizers. There are not necessarily

fewer differentiations in a primitive society though- If something is

differentiated a great deal in a culture, that thing is probably very

important in that culture. A study of the vocabulary of a culture will

reveal the concepts important in that culture.

P h ysically Handicapped

The physically handicapped learner may be deaf, blind, mute,

cerebral p a lsie d , crippled or otherwise handicapped. Whatever the case, he is characterized by a limited ability in some area of communication

for which he must compensate. In the case of the crippled or cerebral palsied leamer, the main effects are likely to occur in the limited ability to gather experience by motion. Since experience is the basis for concept formation, this means that such learners w ill need help to associate meanings with concepts- In the case of deaf, blind or mute learners, some areas of symbolic communication ability limit their concept formation. Such learners w ill need professional help to de­ velop alternative means of communicating symbolically, such as lip reading, sign language or braille.

Physically handicapped learners are often cut off from normal social communication. They may need guidance in developing abstract social concept, such as democracy. Another area of importance for the physically handicapped is the development of a self-concept. Special attention should be given to helping them discover (l) their abilities and lim itations, (2) the roles they can play in society and (3) how to develop self-confidence. 337

Students who have been blind since birth or early childhood can

be expected to have poor imagery at best, especially in hard to describe

visual areas, such as colors. A concentrated effort should be made to help the blind develop some form of imaginai ability and to help the deaf develop some verbal ability. Physically handicapped students w ill also need special help in vocabulary including help in leaming both the symbol and some concrete associations that give the symbols meaning.

Words without simple concrete meaning, such as conjunctions, w ill need special attention. Hans Furth suggests that we need to develop non­ verbal sign language for the deaf when young so that they have visual units to use like syllables. He thinks we could teach logical thought to the deaf by the use of symbolic logic. (Furth, 1966)

In sum, the education of the physically handicapped needs to be especially concerned with conceptual communication including the pro­ vision of an experiential basis for concept formation, training in imaginai or verbal ability, developing a vocabulary, developing social concepts. The most important area for these learners is to develop a symbolic communication a b ility th at w ill help them extend, communicate, check their experience.

Some, although not much, research has been done by using media to communicate with the p h ysically handicapped. Filmed courses in lip reading have been developed and used with some success via television or cartridge projectors. (Broberg, 1968)* In the lip reading courses

*The huge program of captioned films for the deaf is described in "Captioned Films for the Deaf," American Annals of the D eaf, 110 (January, 1965), 323; "Films with Meaning for the Deaf: Captioned Films Branch, U. S. O ffice of Education," American Education, 1 (March, 1965), 23. 338

it has been found helpful to use a slow rate of development and to use

dark lipstick to define the lip's outline well as it changes. Jack

Birch and Ross Stuckless have researched the use of programmed instruc­

tion with the deaf. (Birch and Stuckless, 1963) They compared the

learning of correct grammar for written compositions under conditions

of single programmed instruction presentation (conventional treatment)

or a repeated programmed instruction presentation and of inductive or

deductive programming. No sig n ifica n t differences were found due to

inductive or deductive programming. No sig n ifica n t differences due to

single or repeated presentations were reflected in mean scores on gram­

mar and composition tests. Nevertheless, those who experienced re­

peated presentations seemed to exhibit greater skill in the use of grammar.

The retentive abilities of the handicapped need study. How are the schema which they can employ different? Must the ability to schematize be specially developed with the handicapped? Does the blind person's dependence on sound and the sequential nature of sound have implications for the short term memory ability of the deaf? (Conrad and Rush, 1965) How do the memory abilities of deaf and blind stu­ dents compare?

Gifted

There are several important questions related to the character­ istics of the gifted. How much is the gifted learner's experience in independent study due to his being given this type of learning expe­ rience? How much is it due to his taking the initiative in learning?

To what extent is his giftedness due to his emotional adjustment? To what extent is his emotional adjustment due to his giftedness? Is he 339

bored in school? To what extent is boredom lik e ly to hold back the

gifted child's achievement in school? Did he develop his ability in

spatial manipulation? If so, how? How is ability in spatial manipu­

lation related to abstract conceptual ability? How can gifted students

be defined? All gifted students cannot be described as creative- Can

all creative students be described as gifted?

The writer believes the term gifted should be used to mean one

who has superior conceptual ability in general or in certain areas, one

who has a very high store of concepts and one who is capable of inde­

pendent learning to a superior degree. What are the implications for

education or the communication of concepts?

First, such a learner can work effectively on abstract concepts,

on conceptual problems requiring the use of verbal logic. He can work

well in less structured learning situations. He can do problem solving

requiring spatial manipulation. He can assume leadership roles. Such

a learner needs to be challenged. He needs to be allowed freedom since

he can often work in a certain area beyond the depth of other students

of the teacher. Although high-socioeconomic level correlates highly with gifted ability, it should not be considered a defining require­

ment.

Herbert Hoffman studied concept formation with subnormal, aver­ age and superior adolescents. He found a positively correlated rela­ tionship between conceptual ability and intelligence. (Hoffman, 1955)

In spite of the nonverbal nature of the conceptual problems, the sub­ jects' scores on the conceptual tests correlated higher with verbal than with nonverbal Wechsler scores. The concepts studied were size, symmetry, depth, thickness, acuteness and solidity. . 340

L- M. Terman's follow-up studies showed that while giftedness

makes high adult achievement likely it does not guarantee it. The most

interesting result was that the most successful adults could not be

predicted from the test scores of these gifted children. (Tyler, 1956,

pp. 403-404)

C. C. Miles tabulated teachers' ratings of gifted and average

children on various personality traits. (Miles, 1954) Miles concluded

that gifted children differed largely in their desire to know, origi­

nality and general intelligence; slightly in leadership, desire to

excel, conscientiousness, common sense and perseverance; insignifi­

cantly in fondness for groups, freedom from van ity, sympathy and popu­

larity. It should be remembered that although intelligence quotients

as well as teacher judgments were used to select the subjects, the

selection, sample and procedures could have biased the results.

Gifted children read much more and c o lle c t much more. They

have a better basis for concept formation. They have more interest

in science. Again, we do not know how much of this is attributable

to their usually enriched environment and how much to their innate

in t e r e s t.

The very high intelligence learners have been studied sepa­

rately. In such individuals, according to L. S. Hollingworth,

creativity and originality are likely to be evident even in early

childhood. (Hollingworth, 1942) Hollingworth further pointed out

■ that there were more problems of adjustment in the very high intel­

ligence learners. 341

Creative

As Horace and Ava English define creativity, the essential

characteristic is bringing into being a new product—not necessarily new to others but new to the creator. We don't adequately understand the nature of creativity, but we are able to describe it. We can say that creativity is a type of motivation, that it is integrating, that it is conceptualization, that it is personality expression.

There is a need to debate and state various forms of creativity.

As there are different types of giftedness, there should be different types of creativity. If conceptualizing is always creating, is creating always conceptualizing? Even if it is there it is probably a type of c re a tiv ity which can be called conceptual c r e a tiv ity . (As compared with motor or aesthetic creativity.) It is probable that the nature of conceptual creativity varies from field to field but that it always involves symbolizing.

We can learn about creativity from the characteristics of those who have creative ability and from the conditions under which they ex­ hibit such ability. Studies of highly creative individuals have been conducted by the Institute of Personality Research and Assessment at the University of California Berkeley Campus.

Taher Razik has surveyed studies on creativity for characteris­ tics of creative people. Razik's list and the Berkeley list have in common: openness to experience, independence, cognitive flexibility, creative energy and a commitment to creativity. (Razik, 1966) 342

J . B. Guilford* has divided research on creativity into the

areas of creative potential and creative performance. In the area of

measuring creative potential he concludes from factor analytic studies

that there are three categories of characteristics associated with

creativity: fluency, flexibility and elaboration. There are different

forms and functions which each of these ch aracteristics assumes. There

is ideational, associational or expressional fluency. There is flexi­

bility with class ideas (classifications) and with meanings (reinter­

pretations for problem solving purposes).

Fluency is the basis for divergent production; flexibility for

originality, ingenuity, inventiveness. "Elaboration is a facility for

adding a variety of details to information that has already been pro­

duced." (J. p. Guilford in Razik, 1966, p. 188) What does Guilford's list of characteristics have in common with the Razik or Berkeley lists?

The common characteristics are cognitive flexibility, creative energy and commitment to c re a tiv ity .

It would seem, then, that the highly creative person is very concerned with conceptualization as well as with creativity. The cre­ ative conceptualizer is likely to produce a concept that is original, general, theoretical (relevant to a system of explanation) and intui­ tive rather than explicitly rational.

What is the relationship of intelligence to creativity? For the highly creative a certain high level of intelligence is needed.

S till even the mentally retarded can be creative in some areas, such

*J . p. Guilford, "Measurement and Creativity," in Razik, 1966, pp. 186 —8 9. 343

as art. Nevertheless, there seems to be a certain minimal intelligence

level necessary for creative conceptualizing. The feebleminded are not

creative conceptually.

Michael Wallach and Nathan Kogan took "A New Look at the

C reativity-In telligen ce D istin c tio n .” (Wallach and Kogan, 1965) Fol­

lowing experimentation their results suggested the following. High

intelligence-low creativity persons tend to be conservative and aca­

demically competitive. Low intelligence and creativity persons tend

to be anxious. High intelligence-high creativity persons tend to be

most adaptable. High creativity-low in tellig en ce persons tend to fe e l

inferior and flourish best in a noncompetitive situation.

J. W. Getzels and P. W. Jackson (1962) showed that creative

ability and high IQ are not necessarily one and the same. They found that children of high IQ differed significantly from children of creative

ability in respect to personal values, career goals, creative produc­ tivity and family background.

What are the implications of the characteristics of creative a b ility for education and p articularly for conceptual communication? A certain level of generality and originality is needed in order to solve the learning tasks chosen for presentation. Independent study is likely to be very successful with this type of learner. Educators need to learn to recognize and to value creative conceptualizing.

Torrance* lists these teacher skills for developing creativity.

1. Recognize and acknowledge potentialities by signs such as the following :

*Paul E. Torrance, "Nature of Creative Talents," in Razik, 1966, pp. 168-73. 344

Intense absorption in listening, observing, doing. Intense animation and physical involvement. Challenging ideas of authorities. Checking many sources of inform ation. Taking a close look at things. Eagerly telling others about one's discoveries. Continuing a creative activity after the scheduled time for quitting. Showing relationships among apparently unrelated ideas. Following through on ideas set in motion. Manifesting curiosity, wanting to know, digging deeper. Guessing or predicting outcomes and then testing them. Honestly and intensely searching for the truth. Resisting distractions. Losing awareness of time. Penetrating observations and questions. Seeking alternatives and exploring new possibilities. (Razik, 1966, p. 171)

2. Be respectful of questions and ideas.

3. Ask provocative questions.

4. Recognize and value originality.

5. Develop elaboration ability.

6. Have periods of unevaluated practice and experimentation.

7. Develop creative readers (active, not passive; sensitive to problems and possibilities).

8. Help students develop skill in predicting behavior.

9. Provide guided, planned experiences.

10. Cultivate attitudes and skills of searching for truth with methods of research.

11. Try to improve s k ills in creative problem solvin g.

While Torrance emphasizes the role of the teacher in training students for creative conceptualizing, others emphasize the roles of media in guiding a student to be creative. In "Programed Instruction and Creativity" Richard S. Crutchfield and Martin V. Covington try to show how programmed instruction can avoid or minimize its potentially detrimental effect ori creativity. (Razik, 1966, pp. 179-85) 345

To do th is programmed instruction must avoid fostering too much

homogeneity, being too structured, making learning too effortless and

spoonfed, being too authoritative. Programmed materials for the train­

ing of creativity should be designed so as to give the individual re­

peated practice in making creative responses to creative tasks. Pro­

grams should present problems that involve insight and discovery, as

well as reformulating and generating ideas. The sequencing of the ma­

t e r ia ls should become even more demanding. A lternative forms and se ­

quences of the program should be provided in order to accommodate d if ­

ferent cognitive styles. Some students may find, under some conditions,, their learning most facilitated when they are allowed to pick the se­ quence of their assignments. Other students, under some conditions, w ill find learning most facilitated when assignments are presented in a prearranged order. The size of step for creative programmed instruc­ tion needs to contain more complex materials and to allow for more re­ flection. Programs need to offer open-ended questions (questions re­ quiring no particular response in order to be answered correctly).

As Crutchfield and Covington suggest, the most difficult method­ ological problem in programming for creativity is how to provide appro­ priate feedback or confirmation of responses. A great many different answers should be possible. A kind of creative feedback must be pro­ vided. Perhaps such feedback should be in the nature of suggestions.

Kinds o f creative feedback need to be developed.

What can we conclude are some of the research and measurement needs in the area of conceptual creativity? Harvey, Hunt and

Schroder's conceptual stages as they relate to creative ability should 346

be explored. Is it necessary for one to reach the most abstract state

of functioning, interdependence, in order to be highly creative?

Eugene Gaier has said that creativity is most likely to occur

in individuals who are impulsive, dominating and characterized by a

lack of deliberation, self-control and restraint. (Razik, 1966, p. 192)

The writer believes that this conclusion needs further research. The

lack of inhibition of creative individuals should not be automatically

equated with lack of restraint or self-control. This area of research

could be called the relationship of creativity to conceptual style.

A third area for research is that of cultural influence on

creativity. What effects does our educational system have on cre­

ativity? What different modes can creativity take within a culture

or between cultures. Children in India perform better on verbal than

on figurative tests of creativity. Yet children in Western Samoa,

Negro children in Georgia and lower class children in Pittsburgh per­ form better on figurative than on verbal tests of creativity. In the

United States girls are superior to boys in verbal creating and in

India the reverse is true. (Razik, 1966, p. 169) Why? What are the cultural influences that nurture highly creative conceptualizing?

How can crea tiv ity te s t s broad enough to have cultu ral v a lid ity be developed and utilized?

A fourth area for research is ways of training and fostering creativity. Is creativity inhibited by some children when they are in a competitive environment? Are we utilizing our national poten­ tia l for conceptual creativity? What roles does conceptual creativity play in our society? What w ill be its role in the future? How do literary and scientific methods of creative problem solving differ? 347

What are the specific effects of different media and techniques of com­

munication on conceptual creativity? How can television be used to

foster creativity? Does television restrain creativity?

A fifth area is how creative individuals use accepted postulates.

Do they ignore accepted postulates? Do they transform them? Are they

motivated by the desire to form new postulates? How highly are ac­

cepted postulates valued by the highly creative? Under what conditions

do the highly creative conceptualizers accept postulates? How do they

form postulates, especially classification postulates and other postu­

lates which define concepts?

A sixth area is the relative powers of discrimination of those with high creative ability. How do the highly creative perceive stim uli?

A seventh area i s the use of crea tiv ity measurements as predic­ tors of success in adult occupations and in school subjects. Can cre­ ativity measurements be used more in aptitude tests?

The ability differences most relevant to conceptual communica­ tion are summarized in Table 15, which was developed by the writer. 348

TABLE 15

CONCEPTUAL CHARACTERISTICS OF LEARNERS OF DIFFERENT TYPES OF ABILITY

A b ility Conceptual Recommended Group Characteristics Teaching Procedures

Mentally 1. The abstract is dif­ 1. Attempt only simple Retarded f ic u lt . forms of abstract so­ cial concepts. 2. Poor verbal and 2. Pretrain. imaginai ability. 3. Poor retentive 3. Use ea sily remembered a b ility . topical units; pattern; provide extra practice. 4. Find conceptual leaps 4. Structure learning; or large stimulus proceed by small steps. changes confusing.

C ulturally 1. Restricted language. 1. Use simple language. Deprived 2. Poor vocabulary. 2. Enrich experience. 3. Poor self identity. 3. Help develop self- concept . 4. Short verbal attention 4. Use learning by doing span. a c tiv itie s accompanied by simple and brief language.

Middle 1 . Conforming concepts 1. Expose them to value of Class valued. concepts from other m ilieus. 2. Studious. 2 . Challenge. 3. Elaborated language. 3. Use reception learning as well as guided dis­ covery.

Urban 1. Unfamiliar with rural 1. Base concept formation concepts. on urban experiences. 2. Often deprived. 2. Compensatory education in verbal abilities. 3. Ethnic subcommunities e x ist.

Suburban 1. Limited l i f e experience. 1. Broaden experience. 2. Education oriented. 2. Encourage crea tiv ity . 3. Heterogeneous groups. 349

TABLE 15—Continued

A b ility Conceptual Recommended Group Characteristics Teaching Procedures

Rural 1. Unfamiliar with many 1. Compensatory education. urban phenomenon. 2. Often products of author­ 2. Help develop tolerance itarian atmospheres. for ambiguity,-for dif­ ferent points of view. 3. Homogeneous groups.

Prim itive 1. May be unacquainted with 1. Develop pictorial film, pictorial language. lite r a c y . 2. Physical (concrete) con­ 2. Help develop symbolic, cepts important. technological concepts from concrete concepts.

Modem 1. Verbal culture. 1. Develop verbal concepts. 2. Abstract culture. 2. Relate abstract to concrete.

Physically 1. Substitutes for impaired 1. Help develop substi­ Handicapped sense. tute concepts, vocabu­ la ry . 2. Lack o f so cia l communica­ 2. Develop social concepts tio n can lead to lack of by exposing to social social concepts. situations and giving guidance.

Gifted 1. Abstract ability. 1. Teach abstract concepts. 2. Verbal, logical ability. 2. Can teach with much symbolism. 3. Experienced in inde­ 3. Less structured, open- pendent learning. ended. 4. Ability to manipulate 4. Teach a r t is t ic and spatial concepts. mathematical concepts. 5. Often from enriched 5. Challenge backgrounds.

Creative 1. In terest in complex 1. Introduce complexity. concepts. 2. Need freedom. 2. Unstructured. 3. Tolerance for ambiguity. 3. Teach dynamic concepts. 4. Imaginative. 4. Provide opportunities for wide-range of be­ haviors and approaches. CHAPTER VIII

GUIDELINES FOR STUDY AND PRACTICE

Basic Research on the Communication of Concepts

The beginnings of research on conceptualization occurred in the

last quarter of the last century and the first quarter of this century.

The research paradigm used at that time could be called an association

paradigm. The typical research task was for the subject to report by

introspection the associations which came to mind when presented with

a stimulus. Variations on this paradigm included statistical tabula­

tions of associations and observation of physiological responses to

stim uli. Early researchers were trying to identify what thought con­

sisted of: sensations, images or ideas.

Developments in the measurement of in tellig en ce paralleled the

contributions of the early and later paradigms for experimental re­

search in conceptual communication. Our understanding of cognitive

functioning comes from the use o f both these to o ls: the measurement

of intelligence and experimental research with conceptual tasks. The

developments in testing which were most relevant to the study of con­

ceptual communication were the te stin g of general in te llig e n c e , the testing of specific abilities and factor analysis.

A. Binet and L. M. Terman influenced the field by establishing that changes in intelligence could be measured. Their concept of

350 351

intelligence included imaginai or verbal knowledge indicative of con­

ceptualizing ability. Correlated indicators of intelligence, such as

vocabulary testing, became important indicators of conceptual ability.

The second experimental research paradigm to gain general ac­

ceptance in the study of conceptualizing has been called the reception

paradigm. (Bourne, 1966) With this method the experimenter guides the

information presented. The learner's mind functions as a relatively passive receiver of this information. The steps which constitute the

reception experiment in concept learning are in order:

1. The subject is given instructions to categorize stimuli.

2. The stimulus dimensions are sometimes described.

3. The subject identifies a stimulus as a negative or posi­

tive instance, or he sorts the stimuli into categories

representing so many concepts.

4. The subject may be required to leam labels for catego­

r ie s .

5. Feedback is given as to the correctness of the subject's

categorizing of instances.

6. The presentation of stimuli is usually successive. Each

stimulus is followed by a response and feedback. A varia­

tion is to tell the subject what category the instance

falls in and to require a hypothesis about the factors

for sorting.

7. This process continues until the correct hypothesis is

reached or until the subject gives ten or twenty correct

categorical responses. 352

The reception paradigm, developed by C. L- Hull, has been used

for research on concept learning from 1920 to today. It is still being

used. Its concept of "concept" is "common response to dissimilar

stimuli." Its favorite subject matter for the laboratory situation

includes geometric figures and nonsense syllables.

The most recent research paradigm to gain wide acceptance in the study of concept learning is the selection paradigm. With this

paradigm the subject can control the information presented, be more

active mentally. The subject selects the strategy to be followed in

learning. The steps followed in most selection paradigm experiments are in order:

1. The subject is given instructions to categorize or to de­

velop hypotheses which explain categorizing.

2. Simultaneous presentation may be used.

3. An instance designated as positive is presented.

4. The subject tries to guess the concept. He establishes

a hypothesis.

5. If he is wrong, he selects another instance.

6. He is told whether the instance he has selected is posi­

tive or negative.

7. He revises his hypothesis to take the information he has

just received into account.

8. This process of selection, feedback and hypothesis revi­

sion continues until a solution is reached.

The selectio n paradigm was developed by J . Bruner. Bruner varies this paradigm by manipulating the factors of time elements in presentation, of stimulus availability, of presentation order 353

(simultaneous and successive), of task requirements and of number of

dimensions or examples used.

The association paradigm in concept research was a simple

stimulus-response paradigm. It gave way to the reception paradigm

which involved learning common tra its—discovering common elements.

The reception paradigm was followed by the selection paradigm. With

the selectio n paradigm one could determine whether the subject was

using any systematic plan of attack for learning a code. (Pikas,

1966) In some cases the subject in the selectio n paradigm could in ­

vent a code.

Recent developments in measurement have led research on con­

ceptual communications to take new directions. B. S. Bloom and others

developed The Taxonomy of Educational O bjectives: Cognitive Domain.

The taxonomy sketched the difference between knowledge, comprehension

and application of concepts. Howard Stoker at Florida State Univer­

s it y has developed te s ts to measure ob jectives in the cognitive domain.

(Bloom, 1956; Cox and Unko, 1967; Kropp and Stoker, 1966)

Another recently developed measurement technique which has led to new forms of research is the semantic differential technique devel­

oped by Charles Osgood and his associates. The semantic differential technique has revived the use of the association paradigm.

Impetus has been added by the adoption of tools such as the

computer, the electroencephalograph and devices to measure visual re­ sponse.

The mediating function of imagery in the conceptual processes, unlike th a t of language or gesture and posture, is not amenable to d irect observational methods o f study. . . . Although far from being adequate at the moment, the use of the electroencephalograph 354

may, in time, provide a suitably objective method of assessing the strength of imagery. (Wallace, 1965, p. 236)

Computer simulation techniques have been adopted to study con­

cept attainment. Studies on the authoritarian personality and on

imagery have combined with studies on attitude formation and crystal­

lization to start research on clusters of concepts as they influence

conceptual style.

The Study of Interacting Factors

The study of the communication of concepts should continue to

attempt to integrate diverse areas of psychology and communications.

Basic research findings will not yield practical principles until inter­ action between factors is clarified. The factors which interact are shown in Table 16.

A more complete listing of the interacting factors which re­ search should study is given in Table 17, page 356, A Taxonomy of

Characteristics Which Interact in the Communication of Concepts. The taxonomy presented in Table 17 is the main result of this study. The classification summarizes concisely the information and issues pre­ sented throughout th is report. The taxonomy provides a to o l for analyzing the variables in a conceptual learning situation. 355

TABLE 16

CHARACTERISTICS WHICH INTERACT IN THE COMMUNICATION OF CONCEPTS

Internal Learner Concept Curriculum Presentation Processing

Age Form Experiences Set Recoding

Sex Function Training in Cuing R eticular conceptual­ formation ization

Personality Content Approach Content Symbolic responses

A b ility Learning Response Storage

Structure

Retention

Transfer 356

TABLE 17

A TAXONOMY OF CHARACTERISTICS WHICH INTERACT IN THE COMMUNICATION OF CONCEPTS

I. The Characteristics of Concepts

A. D efin itiv e C haracteristics 1. A Capacity 2. A Symbol 3. A Discrimination 4. A Response

B. Variable Characteristics 1 . Form a) Models b) Definitions c) Classifications (1) Taxonomies (2) Diagrams (3) Outlines (4) L ists (5) Grids (6) Continua d) Modality (1) Audio (2) Visual (3) Kinesthetic e) Dimension(s) (1) One (2) Two (3) Three 2. Effect a) Primary (1) Cuing (2) Associating (3) Responding b) Secondary (1) Public (2) Private (3) Advantageous (4) Disadvantageous 3. Content a) Abstractness b) Generality c) Complexity d) Fluidity e) Subject better f) Theoretical Level g) Experiential h) Logical 357

TABLE 17—Continued

4. Learning a ) Forms of (1) Generalization (a) Stimulus (b) Response (c ) Mediated (2) Problem Solving (a) T rial and Error (b) Sudden Reorganization (c) Gradual Analysis b) Task of (1) Identification (2) Acquisition (3) Formation (4) Attainment (5) Utilization (6) Assimilation c) Methods of (1) Rote (2) Meaningful (3) Reception (4) Discovery 5. Style a) Conceptual Ability b) Category Width c) Conceptual Differentiation d) Cognitive Structure 6. Amount and Application a) Retention (1) Clarity of Organization (2) Nature of Practice (3) Cuing for Recoding b) R ecall (1) Immediate (2) Delayed c) Transfer (1) Negative (2) Positive

II. The Characteristics of Internal Processing A. Nervous System Transmission 1 . Receptor Pathway 2. E ffector Pathway

B. Recoding 1. Excitation of Fibers 2. Inhibition of Impulses

C. R eticular A ctivating System 1. Inhibition of Attention 2. Arousal of Attention 358

TABLE 17—Continued

D. Symbolic Responses 1. Imagery a) Visual (1) Nonverbal (2 ) Verbal b) Auditory (1) Nonverbal (2 ) Verbal c) T a ctile d) Olfactory e) Kinesthetic 2. Verbalization

E. Storing Symbolic Responses 1. Short Term Memory 2. Long Term Memory

III. The Characteristics of External Transmission A. Curriculum Design 1. Providing Experiences a) New b) Ordered c) Rich 2. The Development of Creativity a) Critical Thinking b) Creativity Training c) vocabulary Development d) Conceptual Analysis 3. Approach a) Discovery Learning b) Guided Discovery c) Reception Learning d) A Process Approach e) Fundamental Ideas f) Unifying Principles or Themes g) The Structure of a Discipline

B. Audiovisual Design 1. Cuing Factors a) Establishing Set (1) Directions (2) Pretraining (3) Pretesting (4) Nature of the Task b) Cuing (1) Familiarization (2) Availability of Cues (3) Presentation Order (a) Simultaneous (b) Successive 359

TABLE 17—Continued

(4) Perceptual Principles (a) Proximity Leads to Association (b) Sim ilarity Leads to Association (5) Channel U tilization (a) Audio (b) Visual (c) Audiovisual (6) Compelling Stimuli (a) Color (b) Novelty (c) Contrast (d) Size (e) Placement (f) Attention-Directing Devices (7) Abstraction (a) Amount of Realism (b) Amount of Generality 2. Stimulus Factors a) Choice of Media (1) Forms (2) Unique C haracteristics (3) Type(s) of Experience (4) Advantages (5) Limitations (6) Utilization b) Content (1) Instances (a) Ratio of Positive to Negative (b) Order of P ositive and Negative (c) Number Used (2) Attributes (a) Number of Relevant (b) Number of Irrelevant (c) Intradimensional Variability (d) Interdimensional Variability (e ) Redundancy o f Dimensions (f) Attribute Salience (g) Ability to Systematically Eliminate Irrelevant Attributes (3) Amount (a) Complexity (b) Simplification (c) Repetition (d) Redundancy (4) Approach (a) Treatment (b) Structuring (c) Editing 3. Response Factors a) Rate o f Responding 360

TABLE 17—Continued

(1) Pacing (a) S e lf (b) Group (c ) Machine (2) Rate of Development b) Type o f Response (1 ) Type o f Strategy (a) Selection (b) Reception (c) Focusing (d) Scanning (2) Type o f A ctivity (a) Overt (b) Covert (c) Implicit (3) Type o f Practice (a) Participation (b) Mental Practice (c ) Spaced, Delayed (d) D istributed , Immediate c) Feedback to Response (1 ) Amount and Type (a) Confirmation (b) Correction (c) Negative (d) Positive (2) Ratio and Timing (a) Fixed Ratio (b) Variable Ratio (c ) Immediate (d) Delayed (3) Postfeedback Interval

IV. The Characteristics of Learners A. Age D ifferences 1. Mental Development 2 . Aging

B. Sex D ifferences 1. Cultural 2. Emotional 3. Developmenta1 4. Perceptual

C. Personality Differences 1. Conceptual Systems 2. Personality Types a) Authoritarianism b) Introversion-Extraversion c) Schizophrenia 361

TABLE 17—Continued

3. Personality Dispositions a) Anxiety b) Objectivity c) Work Habits

D* Ability Differences 1. Mental Retardation 2. Cultural Deprivation 3. Middle Class 4. Rural/Suburban/Urban 5. Primitive/Modem 6. P h ysically Handicapped a) Deafness b) Blindness c) Muteness d) Cerebral Palsied e) Crippled 7. Giftedness 8. Creativity

The nature of the concept to be communicated and of the learner

w ill influence how a concept i s communicated. How a concept i s commu­

nicated influences how it is processed internally. How a concept is

processed internally influences the nature of the concept formed.

This relationship is represented in Figure 33.

Learner Concept

External Transmission

V Internal Processing

Concept

Fig. 33.—The relationship between categories of characteris­ tics in the communication of concepts. 362

D irections for Research on the Communication

of Concepts

As a result of her exploration the writer has uncovered some

themes which pose underlying questions for research* The question,

"Is abstraction a continuum?" is a key issue* (P ik a s, 1966, p. 85;

Harvey, Hunt and Schroder, 1961, p. 27) The issue is whether abstract

conceptualizing is only an extension of concrete functioning or whether

it is so qualitatively different that it is discontinuous with concrete

functioning* This question is important because if abstraction in con­

cept formation is discontinuous then the emphasis on creating meaning

with experience may be misplaced•

A second theme which is a major research problem i s the nature

of a concept * This writer believes that until "concept" comes to have

a meaning o f a complex of images i t w ill not be a highly valued profes­

sional construct* If "concept" comes to have a meaning more synonymous with image as Kenneth Boulding interprets image, i t s meaning w ill be

more testable, less variable, more specific* Whether this comes to

pass or not, the construct "concept" will have to be better defined

(and this definition will have to be generally accepted) before re­

search can proceed satisfactorily.

Another problem area which research must tack le is the under­

standing of internal symbolic processes: imagery and verbalization*

It would be very helpful to understand how different types of imagery

(kinesthetic, visual, etc*) work together internally to abstract and generalize* 363

The area of personal style of conceptualizing and cognitive

structure is a fourth important research problem. The first step in

solving this problem is to continue discovering the variables involved

in cognitive structure and style.

Finally, communications research needs to pay more attention to

influencing conceptual responses. Research on motor and other behavioral

responses cannot simply be extrapolated and used to explain conceptual behavior. We need communications research on conceptual problems. Large

scale studies of interacting factors representing each category of

characteristic—learner, internal processing, concept, external trans­ mission—should be undertaken.

Guidelines for Practice

The premise on which this study is based is that the character­ i s t i c s of communication w ill a ffec t the ch aracteristics o f the concept formed. The ways in which the concept formed would be influenced were assumed to depend on how the external and internal ch aracteristics of communication interact with the characteristics of the learner. The writer believes that adequate support for the validity of these assump­ tions has been presented in the preceding chapters.

We have reached a stage where findings are beginning to je ll— to combine together to form an area o f conceptual communications. Al­ though findings are beginning to fit together and have integrated meaning, we are not yet able to sufficiently substantiate principles for the communication of concepts. In lie u o f presenting such prin­ ciples, the writer can present steps and questions for students. 364 teachers, media and curriculum specialists to use in prepaving their designs for concept learning.

Steps to follow are in order:

1. Enumerate the factors that interact in the specific design

situation with which you are concerned. To do this use The

Taxonomy of C haracteristics Which Interact in the Communica­

tion of Concepts (Table 17, p. 356).

2. Design a study program, lesson, presentation or curriculum

taking the interaction of factors (as shown in Figure 33,

The Relationship between Categories of Characteristics of the

Communication of Concepts, p. 361) into account.

3. Use the following checklist of questions to judge the validity

of your design (a brief example of the application of the

question to a specific design situation is given):

a. What are the specific symbolized, discriminatory re­

sponses I wish to communicate?

e.g. It is necessary to understand the concept of em­

pathy. This includes the concepts of role playing,

vicarious experiencing and sympathy.

b. What variable characteristics of the concepts to be commu­

nicated do I wish to determine?

e.g. The concept "empathy" should be very general yet very

concrete.

c. How much conceptualization is required for successful

application?

e.g. It is necessary that the concept empathy transfer to

real life interpersonal relations. It is necessary

that the concept be retained permanently. 365

d. Will the conceptualizer be motivated? If so, how?

e.g. The conceptualizer may be motivated by praise for

achievement and by seeing the usefulness of the con­

cept "empathy."

e. What w ill be the role of imagery; of verbalization in the

process of conceptualization?

e.g. Pictorial imagery is needed to give concreteness

which is necessary if this concept is to be applied.

Verbalization is needed to label the concept so that

it can be discussed and the learning of it evaluated.

f . When w ill I try to influence conceptualization—at what

stages in internal processing?

e.g. Try to influence conceptualization at the stage of

visual, tactile or kinesthetic imagery.

g . Is there a sp e c ific curriculum approach which is most

lik e ly to be helpful?

e.g. Provide rich experience that helps a learner value

empathizing. (See pp. 141, 142) h . What audiovisual design factors are most important to

manipulate? How shall I establish set? Cue? Incorporate

content? What responses should I require?

e.g. It is important to use both negative and positive

examples so that concept learning will transfer. i . What are the characteristics of the learner who must do

the conceptualizing? Does the learner's age, sex, per­

sonality or ability suggest certain conceptual limitations

which should be considered? 366

e.g. The learner is dogmatic. Present the case for

empathizing in a sim ple, unambiguous way. Reasons

for empathizing can be given in terms of institu­

tional recommendations, such as church principles,

hospital or professional procedures. The learner

should be given extra help in overcoming prejudice—

in controlling imagery. (See pages 130-31)

j . Bearing in mind the characteristics of the learner and of

the conceptual processing needed, to what extent do the

characteristics of the design I have devised produce the

desired characteristics of the concept specified? Is there

consistency between the characteristics of the learner,

process, message and product?

e.g. Attitude films may be too open ended and general to

be effective with the planned type of learner,

k. What are the characteristics of the conceptualization re­

sulting from the communication? Can the design be eval­

uated as successful or as in need of revision?

e.g. Role playing and films from institutional sources

are apt to be su ccessfu l, but many broad and rich

experiences w ill be needed to reinforce the learning

of the concept "empathy" enough so th at i t w ill

transfer to many diverse situations.

Issues in the Communication o f Concepts

One of the main issues in applying research findings to the communication of concepts is the extent to which a designer would 367

capitalize on learner characteristics and the extent to which he should

try to broaden or change these characteristics= When does adapting to

such characteristics degenerate into detrimental catering. When is it necessary catering? When should an introverted personality be given a presentation designed for encouraging extraversion even if it is more difficult for him to adjust to than a presentation designed for an in­ troverted personality?

Another main issu e i s what variable ch aracteristics can be de­ veloped at varied age levels. With what learner characteristics?

Under what conditions? Can a mentally retarded learner develop a con­ cept at a higher theoretical level if presented as simplified rote reception learning?

A New Paradigm for Study and Practice

The new paradigm for finding research areas and for considera­ tions in practice which has been presented by this study is a list of four questions which reveal factors to be considered. The questions, which were the basis for the chapters into which this report was divided, are reiterated below.

1. What are the conceptual needs and limitations of the

learner?

2. What are the characteristics of the concept which it is

important to influence?

3. What internal processes should be influenced in order to

control the characteristics of the concept finally

d eveloped ? 368

4. What means of curriculum design or audiovisual design would

be useful?

Earlier in this chapter the need for studying interacting fac­ to rs in th e communication o f concepts was stressed . This paradigm pro­ vides for the study of interacting factors. APPENDIX APPENDIX

TESTS FOR THE CHARACTERISTICS OF CONCEPTUALIZING

This list includes projective tests, nonprojective personality tests, intelligence tests, association tests and other indices, scales and inventories.

Association Adjustment Inventory (Bruce) Measures aspects of mental health important in conceptualizing such as rigidity, depression, objectivity; uses adaptation of Kent-Rosanoff word lis t.

The Behavioral Complexity Test (Alexander) Measures complexity of response categories, highest category attained, symbolization, emotional expression.

Behavior-Sorting Test (Gardner and Schoen) Measures categorizing.

Betts Imagery Inventory Measures modality and vividness.

Category-Width Scale (Pettigrew) Measures category width.

Check L ists (Gardner and Schoen) Measures identification of attributes. '

Cognitive Preference Test: High School Chemistry (Marks) Measures preference for memory of specific facts, critical ques­ tioning, practical application, fundamental principle.

Concept Formation Test (Krasanin and Hanfmann) Measures concept learning.

Consequences (Christensen, Merrifield and Guilford) Measures originality and ideational fluency.

Draw a Person Quality Scale (Wagner and Schubert) Measures level of intelligence functioning.

370 371

Evaluation Modality Test (Engelmann) Measures realism , individualism , moralism*

Fantasy Scale (Page and Epstein) Measures daydream content; th is in d icates imaginai tendencies.

Eels Child Behavior Scales Measures vocabulary.

Figure Reasoning Test: A Nonverbal Intelligence Test (Daniels) Measures ability to manipulate nonverbal symbols logically.

Find the Fourth Word Test (Lehtovaara and Koskenniemi) Measures intelligence according to abstract functioning.

Goldstein-Scheerer Tests of Abstract and Concrete Thinking Measures sorting of colors, objects, forms; measures level of performance in terms of complexity, concreteness, simplicity and abstractness.

Gordon Test for Autonomy of Imagery Measures controllability.

Gottschaldt Test Measures ability to relate new pattern to memory pattern.

Grazzi's Block Sustitution Test Measures simple-complex and concrete-abstract dimensions of concepts.

Holtzman Inkblot Technique Measures definiteness for form perceived, abstractiveness of content, quality of verbalization.

The IES Test: Impulses, Ego, Superego (D'ombrose and Slobin) Picture Completion Test included in this test measures conception of outside world.

Kent-Rosanoff Free Association Test Measures meaning; uses word l i s t to gather association s which can be compared with the associations of other subjects.

Lorge-Thomdike Intelligence Tests Measures verbal and nonverbal intelligence and intelligence changes.

Machorer Draw a Person Test Measures form and content o f concept.

Memory for Designs Test (Graham and Kendall) Measures r ec a ll as indicator of brain damage. 372

Narrow-Mindedness Test (Rokeach) Measures authoritarian tendencies in conceptualizing.

Object-Sorting Test (Clayton and Jackson) Measures conceptual d ifferen tia tio n .

Person Perception Tests (Gardner and Schoen) Measures perception of sim ilarities and differences.

Photo-Sorting Test (Gardner and Schoen) Measures categorizing.

Pictorial Study of Values: Pictorial Allport-Vernon Measures a e sth e tic , economic, p o lit ic a l, r e lig io u s, s o c ia l, theoretical values and strength of liking things in general; these values influence the characteristics of concepts.

Pressey Classification and Verifying Tests Measures categorizing a b ility .

Proverbs Test (Dureman and Salde) Measures understanding o f symbolic or abstract meaning.

Proverbs Test (D. Gorham) Measures verbal comprehension, particularly in the area of abstraction, measures level of abstract functioning.

Rapaport Modification of the Goldstein-Gelb-Weig Object-Sorting Test Measures conceptual level and conceptual area or the publicness- privateness and openness-closedness with which a concept is held.

Robbins Speech Sound Discrimination and Verbal Imagery Type Test Measures auditory verbal imagery and visual verbal imagery.

Rorschach Index of Repressive Style Measures indications of repressive functioning such as vagueness, impersonality, unelaborated interpretations, lack of integration, poor flow of ideas.

Self Valuation Test (Liggett) Measures self-co n cep t.

Semantic D ifferential Tests (Osgood, Suci and Tannenbaum) Measures meaning.

Social Comprehension Questionnaire (Higgins) Measures a ttitu d e.

Sp atial Comprehension Schedule (Pflaum) Measures symmetry, motion, inadequacy. 373

Structured-Objective Rorschach Test (Stone) Measures elaboration, s p e c if ic ity , movement, self-r efe r en ce s, preliminary process thinking, abstract-symbolism, associational flow.

Subsumed A bilities Test (Sanders and Bruce) Measures recognition, abstraction, conceptualization.

Sutcliffe Imagery Battery Measures modality and vividness.

Symbol Elaboration Test (Krout, Tabin) Measures meaning associated with symbols.

Test of Behavioral Rigidity (Schaie) Measures motor-cognitive rigidity and personality-perceptual rigidity, psychomotor speed.

Thurstone Primary Mental Abilities Battery: Controlled Association Test (Sim ilar Words) Measures conceptual knowledge.

The Visual-Verbal Test: A Measure of Conceptual Thinking (Feldman and Drasgow) Measures conceptualization of schizophrenic subjects.

Vocabulary and Poems Test (Saarinen) Measures abstract thinking.

Wechsler-Bellevue IQ Test: Similarities Subtest Measures capacity for abstraction.

Which Word to be Omitted Test (Taylor and McNemar) Measures intelligence according to abstract functioning.

Wisconsin Card-Sorting Test (WCST) Measures concept attainment-

For a more extensive bibliography of rigidity tests see McNemar, 1954. For an annotated l i s t o f t e s t s u sefu l for research on opinions see Opinions and Personality (Smith, Bruner and White, 1956). Sources of information on the testing and research of verbal concepts are listed by Edgar Dale and Taher Razik in Bibliography of Vocabulary Studies. (Dale and Razik, 1963)

(Buros, 1959) (Buros, 1961) (McNemar, 1954) (Smith, Bruner and White, 1956) (Rosanoff, 1938) (Start and Richardson, 1964) (Levine and Spivack, 1964) (Pikas, 1965) Dale and Razik, 1963) (Marks, 1967) BIBLIOGRAPHY BIBLIOGRAPHY

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