Piagetian and Psychometric Conceptions of Intelligence
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Concepts As Correlates of Lexical Labels. a Cognitivist Perspective
This is a submitted manuscript version. The publisher should be contacted for permission to re-use or reprint the material in any form. Final published version, copyright Peter Lang: https://doi.org/10.3726/978-3-653-05287-9 Sławomir Wacewicz Concepts as Correlates of Lexical Labels. A Cognitivist Perspective. This is a submitted manuscript version. The publisher should be contacted for permission to re-use or reprint the material in any form. Final published version, copyright Peter Lang: https://doi.org/10.3726/978-3-653-05287-9 CONTENTS Introduction………………………………………………………………... 6 PART I INTERNALISTIC PERSPECTIVE ON LANGUAGE IN COGNITIVE SCIENCE Preliminary remarks………………………………………………………… 17 1. History and profile of Cognitive Science……………………………….. 18 1.1. Introduction…………………………………………………………. 18 1.2. Cognitive Science: definitions and basic assumptions ……………. 19 1.3. Basic tenets of Cognitive 22 Science…………………………………… 1.3.1. Cognition……………………………………………………... 23 1.3.2. Representationism and presentationism…………………….... 25 1.3.3. Naturalism and physical character of mind…………………... 28 1.3.4. Levels of description…………………………………………. 30 1.3.5. Internalism (Individualism) ………………………………….. 31 1.4. History……………………………………………………………... 34 1.4.1. Prehistory…………………………………………………….. 35 1.4.2. Germination…………………………………………………... 36 1.4.3. Beginnings……………………………………………………. 37 1.4.4. Early and classical Cognitive Science………………………… 40 1.4.5. Contemporary Cognitive Science……………………………... 42 1.4.6. Methodological notes on interdisciplinarity………………….. 52 1.5. Summary…………………………………………………………. 59 2. Intrasystemic and extrasystemic principles of concept individuation 60 2.1. Existential status of concepts ……………………………………… 60 2 This is a submitted manuscript version. The publisher should be contacted for permission to re-use or reprint the material in any form. Final published version, copyright Peter Lang: https://doi.org/10.3726/978-3-653-05287-9 2.1.1. -
Cognitive and Neuroscience Research on Learning And
The 11th International Conference on Education Research New Educational Paradigm for Learning and Instruction September 29 – October 1, 2010 Cognitive and Neuroscience Research on Learning and Instruction: Recent insights about the impact of non-conscious knowledge on problem solving, higher order thinking skills 12 and interactive cyber-learning environments. Richard E. Clark University of Southern California, USA Abstract There are as least three powerful insights from recent studies of the brain that support cognitive science research findings: First, our brains learn and process two very different types of knowledge; non conscious, automated knowledge and conscious, controllable, declarative knowledge. Evidence also suggests that we believe we control our own learning by conscious choice when in fact nearly all mental operations are highly automated, including learning and problem solving; Second, human beings have a very limited capacity to think during learning and problem solving and when that capacity is exceeded, thinking and learning stop without us being aware. Thus instruction and self managed learning must strive to avoid cognitive overload; and Third, nearly all of our instructional design and cyber learning theories and models fail to account for the influence of non-conscious cognitive processes and therefore are inadequate to deal with complex learning and performance. Evidence for these points will be described and their implications for instruction and the learning of problem solving and higher order thinking skills will be discussed. Models of learning and instruction that appear to help overcome some of these biological and cognitive barriers will be described. In addition, suggestions for new research questions on interactive learning environments that take account of the three insights will also be described. -
The Science of Psychology 1
PSY_C01.qxd 1/2/05 3:17 pm Page 2 The Science of Psychology 1 CHAPTER OUTLINE LEARNING OBJECTIVES INTRODUCTION PINNING DOWN PSYCHOLOGY PSYCHOLOGY AND COMMON SENSE: THE GRANDMOTHER CHALLENGE Putting common sense to the test Explaining human behaviour THE BEGINNINGS OF MODERN PSYCHOLOGY Philosophical influences Physiological influences PSYCHOLOGY TODAY Structuralism: mental chemistry Functionalism: mental accomplishment Behaviourism: a totally objective psychology Gestalt psychology: making connections Out of school: the independents The cognitive revolution FINAL THOUGHTS SUMMARY REVISION QUESTIONS FURTHER READING PSY_C01.qxd 1/2/05 3:17 pm Page 3 Learning Objectives By the end of this chapter you should appreciate that: n psychology is much more than ‘common sense’; n psychological knowledge can be usefully applied in many different professions and walks of life; n psychology emerged as a distinct discipline around 150 years ago, from its roots in physiology, physics and philosophy; n there are fundamental differences between different schools of thought in psychology; n psychology is the science of mental life and behaviour, and different schools of thought within psychology place differing degrees of emphasis on understanding these different elements of psychology; n most academic departments in the English-speaking world focus on the teaching of experimental psychology, in which scientific evidence about the structure and function of the mind and behaviour accumulates through the execution of empirical investigations; n in the history of psychology many different metaphors have been used for thinking about the workings of the human mind, and since the Second World War the most influential of these metaphors has been another complex information-processing device – the computer. -
The Rise of Cognitive Science in the 20Th Century
The Rise of Cognitive Science in the 20th Century Carrie Figdor (forthcoming in Kind, A., ed., Philosophy of Mind in the 20th and 21st Centuries: Routledge) Penultimate Draft Abstract. This chapter describes the conceptual foundations of cognitive science during its establishment as a science in the 20th century. It is organized around the core ideas of individual agency as its basic explanans and information-processing as its basic explanandum. The latter consists of a package of ideas that provide a mathematico- engineering framework for the philosophical theory of materialism. Keywords: cognitive science; psychology; linguistics; computer science; neuroscience; behaviorism; artificial intelligence; computationalism; connectionism Part I. Introduction. Cognitive science is the study of individual agency: its nature, scope, mechanisms, and patterns. It studies what agents are and how they function. This definition is modified from one provided by Bechtel, Abrahamson, and Graham (1998), where cognitive science is defined as “the multidisciplinary scientific study of cognition and its role in intelligent agency.” Several points motivate the modification. First (and least consequential), the multidisciplinarity of cognitive science is an accident of academic history, not a fact about its subject matter (a point also pressed in Gardner 1985). Second, the label “intelligent” is often used as a term of normative assessment, when cognitive science is concerned with behavior by entities (including possibly groups, as individual or collective agents) that are not considered intelligent, as well as unintelligent behavior of intelligent agents, for any intuitive definition of “intelligent”.1 Third and most importantly, the term “cognition” is omitted from the definiens to help emphasize a position of neutrality on a number of contemporary debates. -
Theories of Intelligence, Learning, and Motivation As a Basis for Praxis
Theories of Intelligence, Learning, and Motivation as a Basis for Praxis Dr Eulalee Nderu-Boddington Ph.D. Education Assistant Professor at Prince Sultan University Riyadh Saudi Arabia May 26th 2008 ABSTRACT This paper examines how Piaget, Werner, and Gardner differ regarding the roles of cognition, intelligence, and learning in the developmental process. Piaget believes in the predominance of genetic factors. Werner stresses the influence of biological factors, while Gardner proposes that the environment plays a greater influence in how intelligence and learning are acquired. This paper also surveys research on achievement and learning strategies and their role in student motivation. The development of conceptual understanding is related to prior knowledge, interest, learning goals, and achievement goals. Introduction This paper focuses on the developmental theories of Werner, Gardner, and Piaget, all of whom have significantly influenced the field of education through their differing understandings of how students learn from childhood to adulthood. Most researchers agree that a combination of biology and environment affects personality and intelligence, but they differ in assigning relative importance to these two influences. Although poor nutrition, poor health care, and head injuries have been linked to poor IQ scores, for the most part environmental variables have not been found to account for a substantial portion of observed variations in human intelligence. Therefore, some psychologists believe heredity is the dominant influence on intelligence. They base their views on research that concentrates on variations among people in general cognitive ability or IQ. Others believe that such research overemphasizes the concept of IQ and gives too much credit to genetics (Azar, 1995). -
Parenting Teens
Parenting Teens Positive stories about teens rarely make it into the headlines. But, believe it or not, nine in 10 teens do not get into trouble. Do we hear about those in the news?! ○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○ hether children are toddlers or teens, on more a role of counselor. The warmth, Wpreparing for parenting challenges is affection, and positive communication of a tough! The difficulty with teens is that they counselor, however, must be balanced with are becoming much larger, much more the teen’s need to be independent and in verbal, and are able to fight battles more on charge. One researcher found that teens an adult level. They may experiment with seek information from friends on social risk taking, and the stakes are higher than at events, dating, joining clubs, and other any other developmental stage to this point. social life aspects while they turn to their Teens do not turn into teens overnight. parents for information on education, career There are three phases of adolescence that plans, and money matters. include the teen years: preadolescence (age During late adolescence, there are many 9 to 13), middle adolescence (age 14 to 16) decisions to be made. Teens are beginning and late adolescence (age 17 to 20). to disengage, and they often prepare to During preadolescence, children feel leave home about the same time their disorganized, and their growth is rapid and parents are reflecting on their own lives and uneven. They are not quite adolescents yet needs. At this time, authority with children because their sexual maturity has not fully is redefined and there is a gradual shift completed, and they are often referred to as toward economic and emotional indepen- tweens, meaning between the stages of dence. -
The Association of Strategy Use and Concrete-Operational Thinking in Primary School
ORIGINAL RESEARCH published: 23 May 2018 doi: 10.3389/feduc.2018.00038 The Association of Strategy Use and Concrete-Operational Thinking in Primary School Moritz Börnert-Ringleb* and Jürgen Wilbert Department of Inclusive Education, University of Potsdam, Potsdam, Germany Concrete-operational thinking depicts an important aspect of cognitive development. A promising approach in promoting these skills is the instruction of strategies. The construction of such instructional programs requires insights into the mental operations involved in problem-solving. In the present paper, we address the question to which extent variations of the effect of isolated and combined mental operations (strategies) on correct solution of concrete-operational concepts can be observed. Therefore, a cross-sectional design was applied. The use of mental operations was measured by thinking-aloud reports from 80 first- and second-graders (N = 80) while solving tasks depicting concrete-operational thinking. Concrete-operational thinking was assessed Edited by: using the subscales conservation of numbers, classification and sequences of the TEKO. Michael S. Dempsey, Boston University, United States The verbal reports were transcribed and coded with regard to the mental operations Reviewed by: applied per task. Data analyses focused on tasks level, resulting in the analyses of Sharinaz Hassan, N = 240 tasks per subscale. Differences regarding the contribution of isolated and Curtin University, Australia Niels A. Taatgen, combined mental operations (strategies) to correct solution were observed. Thereby, University of Groningen, Netherlands the results indicate the necessity of selection and integration of appropriate mental *Correspondence: operations as strategies. The results offer insights in involved mental operations while Moritz Börnert-Ringleb solving concrete-operational tasks and depict a contribution to the construction of [email protected] instructional programs. -
JEAN PIAGET (1896–1980) Alberto Munari1
The following text was originally published in Prospects: the quarterly review of comparative education (Paris, UNESCO: International Bureau of Education), vol. XXIV, no. 1/2, 1994, p. 311–327. ©UNESCO:International Bureau of Education, 2000 This document may be reproduced free of charge as long as acknowledgement is made of the source. JEAN PIAGET (1896–1980) Alberto Munari1 A portrait of an educator that is also a portrait of the great Swiss epistemologist and psychologist might, at first glance, seem surprising. Indeed, why should Jean Piaget be regarded as an educator?—since he never practised that profession and always refused the title of educationist, going so far as to affirm: ‘I have no views on teaching’ (Bringuier, 1977, p. 194), and since all his writings on education2 do not amount to more than a three-hundredth3 part of his œuvre as a whole. Such bafflement is altogether in order if we refer only to Piaget’s own scientific output. But it is less surprising if we remember the many books that we owe to other authors on the educational implications of Piaget’s achievement4. Indeed, for several years, we have ceased to count the number of educators and educationists in different countries who explicitly refer to Piaget’s work to justify their methods and principles. But is the interpretation always the same? Do writers invariably refer to Piagetian psychology, or do they evoke other aspects of his complex and many- sided work? To which of the very different Piagets do we owe the most important contributions: to Piaget the biologist, Piaget the epistemologist or Piaget the psychologist? or are we particularly indebted to the educational ‘politician’?—as one might call Piaget in his capacity as Director of the International Bureau of Education. -
Developmental Psychology: Incorporating Piaget's and Vygotsky's Theories in Classrooms
Journal of Cross-Disciplinary Perspectives in Education Vol. 1, No. 1 (May 2008) 59 - 67 Developmental Psychology: Incorporating Piaget’s and Vygotsky’s Theories in Classrooms Barbara Blake and Tambra Pope In today’s society, there is disagreement of their students’ cognitive development, which will among researchers and educators as to the role of lead to the needs of the whole child being satisfied. developmental psychology and its application in the Cognitive psychology is a branch of psychology elementary classrooms. It is widely accepted in the that focuses on studies mental processes, which educational field that children must go through the include how people think, perceive, remember, and process of learning to think and thinking to learn. learn. Its core focus is on how people acquire, Therefore, teachers, who can incorporate the process, and store information. It is advantageous theories of Piaget and Vygotsky into their teaching for teachers to understand cognitive psychology strategies, will be better able to increase student because it can help them improve their teaching and achievement. student learning. Teachers become more cognizant Developmental Psychology, the study of to how people process, learn, and remember age-related changes in behavior, examines the information, which helps them plan more effective psychological processes of development, which lessons and create positive learning environments means it describes the sequence of biological, for their students. By using appropriate cognitive, and socio-emotional changes that humans developmental instructional techniques, teachers undergo as they grow older. It describes the growth have been able to increase the test scores of children of humans, which consists of physical, emotional, in public schools (Black & Green, 2005). -
Bandura's Social Cognitive Theory: an Introduction
Davidson Films Bandura’s Social Cognitive Theory: An Introduction Discussion Topics with Albert Bandura, PhD 1. This video includes footage from many parts of the world and historical times, reflecting the far- reaching aspects of Bandura’s theories and books. The best online source of information about Albert Bandura’s work, and other scholars who are using his theories, is at Emory University. It is at www.des.emory.edu/mfp/efftalk.html 2. Dr. Bandura was cited as the fourth most eminent psychologist of the 20th century from a study that combined journal citations, textbook citations and a survey of 1725 members of the American Psychological Society. B.F. Skinner was at the top of the list, followed by Jean Piaget, Sigmund Freud, then Albert Bandura. Numbers five to ten were Festinger, Rogers, Schachter, Miller, Thorndike, and Maslow. Unfortunately, there was not a woman until number 58, Elizabeth Loftus. 3. The Triadic Model. Our graphic was inspired by a conversation with Professor Frank Pajares at Emory University and a PowerPoint presentation he created. All six possible directions for interactions are illustrated in this video: B to E — a mentor and younger worker in an office vignette B to P — a jogger checking his own performance E to B — a mentor and younger worker in an office vignette E to P — people being instructed and experiencing modeled behavior P to B — cuts of various people, ending with basketball players P to E — a jaywalking sequence You may want your students to create their own examples to better understand the model. -
Coordination of Component Mental Operations in Sequences of Discrete Responses
Coordination of Component Mental Operations in Sequences of Discrete Responses Shu-Chieh Wu ([email protected] ) Roger W. Remington ([email protected]) NASA Ames Research Center, Mail Stop 262-4 Moffett Field, CA 94035 USA Harold Pashler ([email protected]) Department of Psychology, University of California, San Diego La Jolla, CA 92093 USA Abstract distributed across different resources, interleaving upcoming operations in the slack time created by queued bottleneck In daily life we often perform sequences of actions, which processes, and allowing operations from different resources with practice are accomplished by overlapping mental to proceed concurrently. The success of this approach operations for successive actions. Is it possible to derive depends on the underlying assumption that component performance predictions for such sequences from a mental operations inferred from discrete task performance characterization of the mental operations for a single do not function differently in extended task environments. stimulus-response pair? We explore this by examining the joint timing of eye movements and manual responses in a This assumption has yet to be tested. Also, success has been typing-like task following Pashler (1994). Participants made achieved for tasks that are largely perceptual-motor, with separate choice responses to a series of five stimuli spread good fits obtaining after about 100 contiguous trials (e.g., over a wide viewing area. Replicating Pashler’s results, John et al., 2002). responses to the first stimulus (RT1) were elevated, with The goal of the present research is to investigate the inter-response intervals (IRI) for subsequent items rapid and coordination of component mental operations in extended flat across items. -
Educating Young Children in Math, Science, and Technology
DOCUMENT RESUME ED 416 993 PS 026 271 AUTHOR Elkind, David TITLE Educating Young Children in Math, Science, and Technology. PUB DATE 1998-02-00 NOTE 16p.; Paper presented at the Forum on Early Childhood Science, Mathematics, and Technology Education (Washington, DC, February 6-8, 1998). PUB TYPE Guides Non-Classroom (055) Speeches/Meeting Papers (150) EDRS PRICE MF01/PC01 Plus Postage. DESCRIPTORS Abstract Reasoning; Concept Formation; *Early Childhood Education; Learning Motivation; Learning Processes; *Mathematics Education; Parent Role; *Science Education; Teaching Methods; Technology; Thinking Skills; Young Children ABSTRACT This paper asserts that any intellectually responsible program to instruct young children in math, science, and technology must overcome at least three seemingly insurmountable obstacles:(1) adults' inability to discover, either by reflection or analysis, the means by which children acquire science and technology concepts;(2) the fact that young children think differently from adults and do not organize their world along the same lines as do older children and adults; and (3) the fact that young children have their own curriculum priorities and construct their own math, science, and technology concepts which while age appropriate, may appear wrong from an adult perspective. After considering each of these obstacles, the paper offers suggestions as to how they can be best overcome:(1) the importance of observing young children's learning in order to make instructional decisions that truly reflect children's learning needs and processes;(2) the need to recognize the limits of instruction--for example, young children think transductively, and this limits the possibility of teaching abstract concepts; and (3) the value of employing capacity-linked and socially derived motivation, engaging the spontaneous learning motivation children experience as their cognitive capacity increases.