Visual Versus Auditory Learning and Memory Recall Performance on Short-Term Versus Long-Term Tests
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Problem Solving and Learning
Science Watch Problem Solving and Learning John R. Anderson Newell and Simon (1972) provided a framework for un- computer simulation of human thought and was basically derstanding problem solving that can provide the needed unconnected to research in animal and human learning. bridge between learning and performance. Their analysis Research on human learning and research on prob- of means-ends problem solving can be viewed as a general lem solving are finally meeting in the current research characterization of the structure of human cognition. on the acquisition of cognitive skills (Anderson, 1981; However, this framework needs to be elaborated with a Chi, Glaser, & Farr, 1988; Van Lehn, 1989). Given nearly strength concept to account for variability in problem- a century of mutual neglect, the concepts from the two solving behavior and improvement in problem-solving skill fields are ill prepared to relate to each other. I will argue with practice. The ACT* theory (Anderson, 1983) is such in this article that research on human problem solving an elaborated theory that can account for many of the would have been more profitable had it attempted to in- results about the acquisition of problem-solving skills. Its corporate ideas from learning theory. Even more so, re- central concept is the production rule, which plays an search on learning would have borne more fruit had analogous role to the stimulus-response bond in earlier Thorndike not cast out problem solving. learning theories. The theory has provided a basis for con- This article will review the basic conception of prob- structing intelligent computer-based tutoring systems for lem solving that is the legacy of the Newell and Simon the instruction of academic problem-solving skills. -
Compare and Contrast Two Models Or Theories of One Cognitive Process with Reference to Research Studies
! The following sample is for the learning objective: Compare and contrast two models or theories of one cognitive process with reference to research studies. What is the question asking for? * A clear outline of two models of one cognitive process. The cognitive process may be memory, perception, decision-making, language or thinking. * Research is used to support the models as described. The research does not need to be outlined in a lot of detail, but underatanding of the role of research in supporting the models should be apparent.. * Both similarities and differences of the two models should be clearly outlined. Sample response The theory of memory is studied scientifically and several models have been developed to help The cognitive process describe and potentially explain how memory works. Two models that attempt to describe how (memory) and two models are memory works are the Multi-Store Model of Memory, developed by Atkinson & Shiffrin (1968), clearly identified. and the Working Memory Model of Memory, developed by Baddeley & Hitch (1974). The Multi-store model model explains that all memory is taken in through our senses; this is called sensory input. This information is enters our sensory memory, where if it is attended to, it will pass to short-term memory. If not attention is paid to it, it is displaced. Short-term memory Research. is limited in duration and capacity. According to Miller, STM can hold only 7 plus or minus 2 pieces of information. Short-term memory memory lasts for six to twelve seconds. When information in the short-term memory is rehearsed, it enters the long-term memory store in a process called “encoding.” When we recall information, it is retrieved from LTM and moved A satisfactory description of back into STM. -
Brain Disorders and Therapy the Composition of Visual Memory and the Impact of Emotions: the Color of Memory
Brain Disorders and Therapy Extended Abstract The composition of visual memory and the impact of emotions: the color of memory Nydia J Gutierrez ABSTRACT between DE and VR are disparate. It is important to remember that in many visual memory tasks the guess factor in DE is Art therapy creates an implicit memory that helps to reduce smaller than that observed (e.g., 50 percent guess rate for Faces stress and anticipates emotional cognitive changes and in WMS – III). behavior. It creates a regular function between peripheral nervous system, autonomic nervous system, and the somatic nervous system. This model is represented as a neural Long-term memory is a central component of human learning algorithm that defines brain functions and models. The that allows for a range of abilities and behaviors that are also model represents a brain relation, behavior, and correlation to essential to survival. While this core competency for human thought and the human mind. In the peripheral procedural and declarative memory has been widely nervous system we find dividend between the autonomic established, it remains uncertain if specific mechanisms nervous system and the somatic nervous system. subserve basic sensory or perceptual processes. Here we use a visual learning model to demonstrate how people are prepared The model design and created in this research presents daily to look for Different visual features in the environment functioning cognitive variables that serve as a unity to reduce contribute to consistent performance changes over consecutive stress and negative emotional experiences. There is an days but, oddly, the subsequent ability to learn similar visual increase of variation and stimulation that carries effects and features is removed. -
Teacher Training: Learning to Be Instigators of Thought™ Through a Process Aligned with Inspired Teaching's Educational Phil
Transforming education through innovation teacher training Teacher Training: Learning to be Instigators of Thought™ Through a process aligned with Inspired Teaching’s educational philosophy – which engages participants intellectually, physically, and emotionally - Inspired Teaching trains teachers to design and implement rigorous, student-centered lessons and activities that meet student needs and academic standards, including the Common Core State Standards. Like the teaching process itself, our teacher training is complex and allows for customization to meet the specific needs of each teacher. This audience-sensitivity creates a permanent shift in teachers’ thinking about their jobs and is one of the key reasons our process is so effective. Inspired Teaching’s Five Step Process for Teacher Education Each teacher navigates the following process: Step 1. Analyze and deepen my understanding of the ways I learn through a rigorous examination of the teaching and learning process, including my including my own experiences as a child and adult learner. Step 2. Articulate and defend my philosophy of teaching and learning , including what I believe about children. Challenge myself to listen to and consider other points of view and to find room in my philosophy for an appreciation of children's natural curiosity and innate desire to learn. Step 3. Make the connection to classroom practice , analyzing my current instructional strategies and whether they support my philosophy, so that I can explore and develop new ways to make sure what I do in the classroom matches my philosophy of teaching and learning. Step 4. Build the skills of effective teachers , including active listening, asking questions that will spark students' intellect and imaginations, observing to assess for student understanding, and communicating effectively. -
1 Learning Styles As a Basis for Paddlesports Instruction
Learning styles as a basis for paddlesports instruction: A review of the literature and some alternatives to add to the conversation Jayson Seaman Ph.D ACA Level 4: Whitewater Kayaking Instructor Trainer When I became certified as a whitewater kayak instructor, I was told I needed to consider students’ learning styles. This point was emphasized by the ITs who taught my course and it was included as a main content area in my instructor manual. I felt as if I would be a terrible paddlesports instructor if I failed to teach to students’ different learning styles. I have a confession: I have never quite figured out how to do this. I’ve been teaching paddlesports for over ten years now, and other outdoor activities and content areas for nearly 20, and I still struggle with the idea of learning styles. Don’t get me wrong: I have watched students doze off because I’ve talked too much and others flip their boats because I haven’t sufficiently helped them acquire a ‘feel’ for a particular skill, so I know people have diverse aptitudes I need to address somehow. And I’m always trying to find better ways to reach them – it just doesn’t seem possible for me to identify what people’s learning styles are, and then use this knowledge to cater to them more effectively. My situation isn’t helped by the fact that I regularly work with a very talented and respected instructor who does seem to have this ability. She seems to be able to diagnose learning styles on the spot and adapt her instructional methods accordingly – a little more talking here, a slightly longer drill there, and some visualization exercises for others. -
Internal Attention to Features in Visual Short-Term Memory Guides Object Learning ⇑ ⇑ Judith E
Cognition 129 (2013) 292–308 Contents lists available at ScienceDirect Cognition journal homepage: www.elsevier.com/locate/COGNIT Internal attention to features in visual short-term memory guides object learning ⇑ ⇑ Judith E. Fan , Nicholas B. Turk-Browne Green Hall, Department of Psychology, Princeton University, Princeton, NJ 08540, United States article info abstract Article history: Attending to objects in the world affects how we perceive and remember them. What are Received 11 October 2012 the consequences of attending to an object in mind? In particular, how does reporting the Revised 1 April 2013 features of a recently seen object guide visual learning? In three experiments, observers Accepted 20 June 2013 were presented with abstract shapes in a particular color, orientation, and location. After viewing each object, observers were cued to report one feature from visual short-term memory (VSTM). In a subsequent test, observers were cued to report features of the same Keywords: objects from visual long-term memory (VLTM). We tested whether reporting a feature Features and objects from VSTM: (1) enhances VLTM for just that feature (practice-benefit hypothesis), (2) Memory encoding Memory retrieval enhances VLTM for all features (object-based hypothesis), or (3) simultaneously enhances Selective attention VLTM for that feature and suppresses VLTM for unreported features (feature-competition Visual short-term memory hypothesis). The results provided support for the feature-competition hypothesis, whereby Visual working memory the representation of an object in VLTM was biased towards features reported from VSTM and away from unreported features (Experiment 1). This bias could not be explained by the amount of sensory exposure or response learning (Experiment 2) and was amplified by the reporting of multiple features (Experiment 3). -
Scaling up Visual Attention and Visual Working Memory to the Real World
CHAPTER TWO Scaling up visual attention and visual working memory to the real world Timothy F. Brady*, Viola S. Stormer,€ Anna Shafer-Skelton, Jamal R. Williams, Angus F. Chapman, Hayden M. Schill Department of Psychology, University of California, San Diego, La Jolla, CA, United States *Corresponding author: e-mail address: [email protected] Contents 1. Introduction 30 2. Visual attention 31 2.1 Introduction 31 2.2 From simple features to multi-feature objects: Principles of attentional selection 32 2.3 Attentional selection at the level of real-world objects and semantic categories 35 2.4 Attention to, and processing of, “ensembles” and groups of objects 39 2.5 Cross-modal influences on perception and attention: Real-world objects make sounds 42 2.6 Visual attention conclusion 46 3. Visual working memory 47 3.1 Introduction 47 3.2 Visual working memory stores not just individual items, but ensemble information 48 3.3 The world has more than objects: Scenes and surfaces in visual memory 52 3.4 We have knowledge about the objects we wish to remember: Learning and knowledge in visual working memory 54 3.5 Expertise and visual working memory 58 4. Conclusion 59 References 60 Abstract Both visual attention and visual working memory tend to be studied either with very simple stimuli and low-level paradigms, which are designed to allow us to understand the representations and processes in detail, or with fully realistic stimuli that make such precise understanding difficult but are more representative of the real world. In this chapter we argue for an intermediate approach in which visual attention and visual # Psychology of Learning and Motivation, Volume 70 2019 Elsevier Inc. -
Auditory and Visual Memory Skills in Normal Children
University of Montana ScholarWorks at University of Montana Graduate Student Theses, Dissertations, & Professional Papers Graduate School 1977 Auditory and visual memory skills in normal children Joanne Mae Moulton The University of Montana Follow this and additional works at: https://scholarworks.umt.edu/etd Let us know how access to this document benefits ou.y Recommended Citation Moulton, Joanne Mae, "Auditory and visual memory skills in normal children" (1977). Graduate Student Theses, Dissertations, & Professional Papers. 4956. https://scholarworks.umt.edu/etd/4956 This Thesis is brought to you for free and open access by the Graduate School at ScholarWorks at University of Montana. It has been accepted for inclusion in Graduate Student Theses, Dissertations, & Professional Papers by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact [email protected]. AUDITORY AND VISUAL MEMORY SKILLS IN NORMAL CHILDREN By Joanne M. Moulton B.A., University of Montana, 1973 Presented in partial fulfillment of the requirements for the degree of Master of Arts UNIVERSITY OF MONTANA 1977 Approved by: an, Graduate Schoo. UMI Number: EP40420 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the uniikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. Oisssrtatteft PsiMisMng UMI EP40420 Published by ProQuest LLC (2014). Copyright in the Dissertation held by the Author. Microform Edition © ProQuest LLC. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code ProQuest LLC. -
Metaphors of Memory a HISTORY of IDEAS ABOUT the MIND
Metaphors of Memory A HISTORY OF IDEAS ABOUT THE MIND DOUWE DRAAISMA Translated by Paul Vincent published by the press syndicate of the university of cambridge The Pitt Building, Trumpington Street, Cambridge cb2 1rp, United Kingdom cambridge university press The Edinburgh Building, Cambridge, cb2 2ru, United Kingdom www.cup.cam.ac.uk 40 West 20th Street, New York, ny 10011–4211, USA www.cup.org 10 Stamford Road, Oakleigh, Melbourne 3166, Australia Ruiz de Alarcón 13, 28014 Madrid, Spain Originally published in Dutch as De Metaforenmachine – een geschiedenis van het geheugen by Historische Uitgeverij 1995 and © Douwe Draaisma 1995, 2000 First published in English by Cambridge University Press 2000 as Metaphors of Memory: A History of Ideas About the Mind English translation © Cambridge University Press 2000 Printed in Great Britain at the University Press, Cambridge This translation was supported by a grant from the Netherlands Organization for Scientific Research Typeface Swift 10/13 pt. System QuarkXPress™ [se] A catalogue record for this book is available from the British Library Library of Congress cataloguing in publication data Draaisma, D. [Metaforenmachine een geschiedenis van het geheugen. English] Metaphors of memory: a history of ideas about the mind / Douwe Draaisma. p. cm. Includes bibliographical references and indexes. isbn 0 521 65024 0 1. Memory – History. I. Title. bf371.d6813 2000 153.1Ј2–dc21 99-088502 isbn 0 521 65024 0 hardback Contents List of illustrations page x Acknowledgements xiv Introduction 1 1 The Mystic Writing-Pad -
Cognitive Psychology
COGNITIVE PSYCHOLOGY PSYCH 126 Acknowledgements College of the Canyons would like to extend appreciation to the following people and organizations for allowing this textbook to be created: California Community Colleges Chancellor’s Office Chancellor Diane Van Hook Santa Clarita Community College District College of the Canyons Distance Learning Office In providing content for this textbook, the following professionals were invaluable: Mehgan Andrade, who was the major contributor and compiler of this work and Neil Walker, without whose help the book could not have been completed. Special Thank You to Trudi Radtke for editing, formatting, readability, and aesthetics. The contents of this textbook were developed under the Title V grant from the Department of Education (Award #P031S140092). However, those contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. Unless otherwise noted, the content in this textbook is licensed under CC BY 4.0 Table of Contents Psychology .................................................................................................................................................... 1 126 ................................................................................................................................................................ 1 Chapter 1 - History of Cognitive Psychology ............................................................................................. 7 Definition of Cognitive Psychology -
Cognition, Affect, and Learning —The Role of Emotions in Learning
How People Learn: Cognition, Affect, and Learning —The Role of Emotions in Learning Barry Kort Ph.D. and Robert Reilly Ed.D. {kort, reilly}@media.mit.edu formerly MIT Media Lab Draft as of date January 2, 2019 Learning is the quintessential emotional experience. Our species, Homo Sapiens, are the beings who think. We are also the beings who learn, and the beings who simultaneously experience a rich spectrum of affective emotional states, including a selected suite of emotional states specifically and directly related to learning. This proposal reviews previously published research and theoretical models relating emotions to learning and cognition and presents ideas and proposals for extending that research and reducing it to practice. Our perspective The concept of affect in learning (i.e., emotions in learning) is the same pedagogy applied by an athletic coach at a sporting event. A coach recognizes the affective state of an athlete, and, for example, exhorts that athlete toward increased performance (e.g., raises the level of enthusiasm), or, redirects a frustrated athlete to a productive affective state (e.g., instills confidence, or pride). A coach recognizes that an athlete’s affective state is a critical factor during performance; and, when appropriate, a coach will intervene with a meaningful strategy or tactic. Athletic coaches are skilled at recognizing affective states and intervening appropriately. Educators can have the same impact on a learner by understanding a learner’s affective state and intervening with appropriate strategies or tactics that will meaningfully manage and guide a person’s learning journey. There are several learning theories and a great deal of neuroscience/affective research. -
A Psychometric Study of the Index of Learning Styles©
A Psychometric Study of the Index of Learning Styles© THOMAS A. LITZINGER education [2]. In a related document, Coffield et al. report that The Leonhard Center for the Enhancement of there are literally thousands of papers related to learning styles in Engineering Education the literature [3]. The use of learning styles in engineering educa- Pennsylvania State University tion has become fairly widespread. A search of the term “learning styles” in the ASEE conference proceedings from 2000 through SANG HA LEE 2006 turned up hundreds of articles covering a wide range of topics Educational Psychology including the effects of learning styles on academic performance [4] Pennsylvania State University and on retention [5] as well as on the design of technology-based learning tools [6]. Among the ASEE articles referring to learning JOHN C. WISE styles are nearly 50 that use the Index of Learning Styles© (ILS) of Engineering Instructional Services Felder and Soloman [7]. Pennsylvania State University From their review of the literature, Hall and Moseley [2] created a “continuum of families of learning styles” based on the extent to RICHARD M. FELDER which the developers of the learning style instrument believe that Department of Chemical and Biomolecular Engineering learning styles are fixed traits. They discuss the pedagogical impli- North Carolina State University cations of the various theories of learning styles across this continu- um. On one end of the continuum are “fixed trait” theories. Practi- tioners of this class of learning style theories tend to identify the ABSTRACT type of student and design a specific curriculum for them; they in- creasingly look to information technology to create individual A study was conducted on the Felder-Soloman Index of Learning learning “prescriptions” for students based on their type.