Dual-Store Model, LOP, Learning Strategies, Learning Approaches
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												  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.
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												  Mnemonics in a Mnutshell: 32 Aids to Psychiatric DiagnosisMnemonics in a mnutshell: 32 aids to psychiatric diagnosis Clever, irreverent, or amusing, a mnemonic you remember is a lifelong learning tool ® Dowden Health Media rom SIG: E CAPS to CAGE and WWHHHHIMPS, mnemonics help practitioners and trainees recall Fimportant lists (suchCopyright as criteriaFor for depression,personal use only screening questions for alcoholism, or life-threatening causes of delirium, respectively). Mnemonics’ effi cacy rests on the principle that grouped information is easi- er to remember than individual points of data. Not everyone loves mnemonics, but recollecting diagnostic criteria is useful in clinical practice and research, on board examinations, and for insurance reimbursement. Thus, tools that assist in recalling di- agnostic criteria have a role in psychiatric practice and IMAGES teaching. JUPITER In this article, we present 32 mnemonics to help cli- © nicians diagnose: • affective disorders (Box 1, page 28)1,2 Jason P. Caplan, MD Assistant clinical professor of psychiatry • anxiety disorders (Box 2, page 29)3-6 Creighton University School of Medicine 7,8 • medication adverse effects (Box 3, page 29) Omaha, NE • personality disorders (Box 4, page 30)9-11 Chief of psychiatry • addiction disorders (Box 5, page 32)12,13 St. Joseph’s Hospital and Medical Center Phoenix, AZ • causes of delirium (Box 6, page 32).14 We also discuss how mnemonics improve one’s Theodore A. Stern, MD Professor of psychiatry memory, based on the principles of learning theory. Harvard Medical School Chief, psychiatric consultation service Massachusetts General Hospital How mnemonics work Boston, MA A mnemonic—from the Greek word “mnemonikos” (“of memory”)—links new data with previously learned information.
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												  Post-Encoding Stress Does Not Enhance Memory Consolidation: the Role of Cortisol and Testosterone Reactivitybrain sciences Article Post-Encoding Stress Does Not Enhance Memory Consolidation: The Role of Cortisol and Testosterone Reactivity Vanesa Hidalgo 1,* , Carolina Villada 2 and Alicia Salvador 3 1 Department of Psychology and Sociology, Area of Psychobiology, University of Zaragoza, 44003 Teruel, Spain 2 Department of Psychology, Division of Health Sciences, University of Guanajuato, Leon 37670, Mexico; [email protected] 3 Department of Psychobiology and IDOCAL, University of Valencia, 46010 Valencia, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-978-645-346 Received: 11 October 2020; Accepted: 15 December 2020; Published: 16 December 2020 Abstract: In contrast to the large body of research on the effects of stress-induced cortisol on memory consolidation in young people, far less attention has been devoted to understanding the effects of stress-induced testosterone on this memory phase. This study examined the psychobiological (i.e., anxiety, cortisol, and testosterone) response to the Maastricht Acute Stress Test and its impact on free recall and recognition for emotional and neutral material. Thirty-seven healthy young men and women were exposed to a stress (MAST) or control task post-encoding, and 24 h later, they had to recall the material previously learned. Results indicated that the MAST increased anxiety and cortisol levels, but it did not significantly change the testosterone levels. Post-encoding MAST did not affect memory consolidation for emotional and neutral pictures. Interestingly, however, cortisol reactivity was negatively related to free recall for negative low-arousal pictures, whereas testosterone reactivity was positively related to free recall for negative-high arousal and total pictures.
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												  The Absent Minded ConsumerThe Absentminded Consumer John Ameriks, Andrew Caplin and John Leahy∗ March 2003 (Preliminary) Abstract We present a model of an absentminded consumer who does not keep constant track of his spending. The model generates a form of precautionary consumption, in which absentminded agents tend to consume more than attentive agents. We show that wealthy agents are more likely to be absentminded, whereas young and retired agents are more likely to pay attenition. The model presents new explanations for a relationship between spending and credit card use and for the decline in consumption at retirement. Key Words: JEL Classification: 1 Introduction Doyouknowhowmuchyouspentlastmonth,andwhatyouspentiton?Itis only if you answer this question in the affirmative that the classical life-cycle model of consumption applies to you. Otherwise, you are to some extent an absent-minded consumer. In this paper we develop a theory that applies to thoseofuswhofallintothiscategory. The concept of absentmindedness that we employ in our analysis was introduced by Rubinstein and Piccione [1997]. They define absentmindedness as the inability to distinguish between decision nodes that lie along the same branch of a decision tree. By identifying these distinct nodes with different ∗We would like to thank Mark Gertler, Per Krusell, and Ricardo Lagos for helpful comments. 1 levels of spending, we are able to model consumers who are uncertain as to how much they spend in any given period. The effect of this change in model structure is to make it difficult for consumers to equate the marginal utility of consumption with the marginal utility of wealth. We show that this innocent twist in a standard consumption model may not only provide insight into some existing puzzles in the consumption literature, but also shed light on otherwise puzzling results concerning linkages between financial planning and wealth accumulation (Ameriks, Caplin, and Leahy [2003]).
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												  Cognition, Affect, and Learning —The Role of Emotions in LearningHow 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.
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												  Chapter 14: Individual Differences in Cognition 369 Copyright ©2018 by SAGE Publications, IncINDIVIDUAL 14 DIFFERENCES IN COGNITION CHAPTER OUTLINE Setting the Stage Individual Differences in Cognition Ability Differences distribute Cognitive Styles Learning Styles Expert/Novice Differences or The Effects of Aging on Cognition Gender Differences in Cognition Gender Differences in Skills and Abilities Verbal Abilities Visuospatial Abilities post, Quantitative and Reasoning Abilities Gender Differences in Learning and Cognitive Styles Motivation for Cognitive Tasks Connected Learning copy, not SETTING THE STAGE .................................................................. y son and daughter share many characteristics, but when it comes Do to school they really show different aptitudes. My son adores - Mliterature, history, and social sciences. He ceremoniously handed over his calculator to me after taking his one and only college math course, noting, “I won’t ever be needing this again.” He has a fantastic memory for all things theatrical, and he amazes his fellow cast members and directors with how quickly he can learn lines and be “off book.” In contrast, my daughter is really adept at noticing patterns and problem solving, and she Proof is enjoying an honors science course this year while hoping that at least one day in the lab they will get to “blow something up.” She’s a talented dancer and picks up new choreography seemingly without much effort. These differences really don’t seem to be about ability; Tim can do statis- tics competently, if forced, and did dance a little in some performances, Draft and Kimmie can read and analyze novels or learn about historical topics and has acted competently in some school plays. What I’m talking about here is more differences in their interests, their preferred way of learning, maybe even their style of learning.
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												  Cognitive Retention of Generation Y Students Through the Use of Games11 COGNITNE RETENTION OF GENERATION Y STUDENTS THROUGH THE USE OF GAMES AND SIMULATIONS A Dissertation Submitted to the Faculty of Argosy University - Sarasota In partial fulfillment of The requirements for the degree of Doctorate of Business Administration Accounting Major by Melanie A. Hicks Argosy University - Sarasota August 2007 Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. III Abstract A new generation of students has begun to proliferate colleges and universities. Unlike previous generations, Generation Y students have been exposed to a variety of technological advancements, have different behaviors towards learning, and have been raised in a different environment. These differences may be causing conflict with traditional pedagogy in educational institutions, thereby creating, while it may be unintentional, an inability for Generation Y students to learn under the standard educational method of lecture presented to previous generations. The literature supports the position that additional teaching methods are needed in order to effectively educate Generation Y students (Prensky, 2001; Brozik & Zapalska, 1999; Albrecht, 1995). Consequently, the primary goal of this dissertation is to examine the ability of Generation Y students to achieve greater cognitive retention when the instructional material is conveyed with the assistance of or through the use of games andlor simulations. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. IV © Copyright 2007 by Melanie A. Hicks Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. v ACKNOWLEDGEMENTS This dissertation is dedicated to my husband, Scott Hicks, who has encouraged me and constantly pushed me to "seek first to understand, then to be understood".
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												  Rethinking Co-Cognition Contents 1. IntroductionThis paper was published in Mind & Language, 13, 1998, 499-512. Archived at Website for the Rutgers University Research Group on Evolution and Higher Cognition. Rethinking Co-cognition Shaun Nichols Department of Philosophy College of Charleston Charleston, SC 29424 [email protected] and Stephen Stich Department of Philosophy and Center for Cognitive Science Rutgers University New Brunswick, NJ 08901 [email protected] Contents 1. Introduction 2. Points of Agreement 3. The Co-Cognition Thesis and a Friendly Amendment 4. A Critique of the Co-Cognition Thesis 1. Introduction In cognitive science and philosophy of mind, there has been a wealth of fascinating work trying to tease out the cognitive mechanisms that are involved in understanding other minds or "mindreading" (e.g., Baron-Cohen, 1995; Bartsch & Wellman, 1995; Fodor, 1995; Goldman, 1992; Gopnik, 1993; Harris, 1991; Leslie, 1991; Perner, 1991). This research has focused on evaluating the empirical evidence for various accounts of mindreading, predicting the results of future experiments, and carrying out experiments that might distinguish between the available theories. Our own previous work adopted this naturalistic approach (Stich & Nichols, 1992, 1995, 1997; Nichols et al., 1996; Nichols et al., 1995). In contrast to the naturalistic exploration of mindreading, Jane Heal has argued that simulation theorists have discovered an a priori truth about mindreading (Heal, 1994, 1995). In Heal's most recent paper (this issue), which is largely a response to an earlier paper of ours (Stich & Nichols, 1997), she maintains that we are committed to a view that conflicts with a simulationist thesis which is a priori true.
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												  Memory Formation, Consolidation and TransformationNeuroscience and Biobehavioral Reviews 36 (2012) 1640–1645 Contents lists available at SciVerse ScienceDirect Neuroscience and Biobehavioral Reviews journa l homepage: www.elsevier.com/locate/neubiorev Review Memory formation, consolidation and transformation a,∗ b a a L. Nadel , A. Hupbach , R. Gomez , K. Newman-Smith a Department of Psychology, University of Arizona, United States b Department of Psychology, Lehigh University, United States a r t i c l e i n f o a b s t r a c t Article history: Memory formation is a highly dynamic process. In this review we discuss traditional views of memory Received 29 August 2011 and offer some ideas about the nature of memory formation and transformation. We argue that memory Received in revised form 20 February 2012 traces are transformed over time in a number of ways, but that understanding these transformations Accepted 2 March 2012 requires careful analysis of the various representations and linkages that result from an experience. These transformations can involve: (1) the selective strengthening of only some, but not all, traces as a function Keywords: of synaptic rescaling, or some other process that can result in selective survival of some traces; (2) the Memory consolidation integration (or assimilation) of new information into existing knowledge stores; (3) the establishment Transformation Reconsolidation of new linkages within existing knowledge stores; and (4) the up-dating of an existing episodic memory. We relate these ideas to our own work on reconsolidation to provide some grounding to our speculations that we hope will spark some new thinking in an area that is in need of transformation.
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												  Cognitive Functions of the Brain: Perception, Attention and MemoryIFM LAB TUTORIAL SERIES # 6, COPYRIGHT c IFM LAB Cognitive Functions of the Brain: Perception, Attention and Memory Jiawei Zhang [email protected] Founder and Director Information Fusion and Mining Laboratory (First Version: May 2019; Revision: May 2019.) Abstract This is a follow-up tutorial article of [17] and [16], in this paper, we will introduce several important cognitive functions of the brain. Brain cognitive functions are the mental processes that allow us to receive, select, store, transform, develop, and recover information that we've received from external stimuli. This process allows us to understand and to relate to the world more effectively. Cognitive functions are brain-based skills we need to carry out any task from the simplest to the most complex. They are related with the mechanisms of how we learn, remember, problem-solve, and pay attention, etc. To be more specific, in this paper, we will talk about the perception, attention and memory functions of the human brain. Several other brain cognitive functions, e.g., arousal, decision making, natural language, motor coordination, planning, problem solving and thinking, will be added to this paper in the later versions, respectively. Many of the materials used in this paper are from wikipedia and several other neuroscience introductory articles, which will be properly cited in this paper. This is the last of the three tutorial articles about the brain. The readers are suggested to read this paper after the previous two tutorial articles on brain structure and functions [17] as well as the brain basic neural units [16]. Keywords: The Brain; Cognitive Function; Consciousness; Attention; Learning; Memory Contents 1 Introduction 2 2 Perception 3 2.1 Detailed Process of Perception .
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												  Memory & Cognition/ Memory & Cognition Volume 47 · Number 4 · May 2019 Special Issue: Recognizing Five Decades of Cumulative The role of control processes in temporal Progress in Understanding Human Memory and semantic contiguity and its Control Processes Inspired by Atkinson M.K. Healey · M.G. Uitvlugt 719 and Shiffrin (1968) Auditory distraction does more than disrupt rehearsal Guest Editors: Kenneth J. Malmberg· processes in children's serial recall Jeroen G. W. Raaijmakers ·Richard M. Shiffrin A.M. AuBuchon · C.l. McGill · E.M. Elliott 738 50 years of research sparked by Atkinson The effect of working memory maintenance and Shiffrin (1968) on long-term memory K.J. Malmberg · J.G.W. Raaijmakers · R.M. Shiffrin 561 J.K. Hartshorne· T. Makovski 749 · From ·short-term store to multicomponent working List-strength effects in older adults in recognition memory: The role of the modal model and free recall A.D. Baddeley · G.J. Hitch · R.J. Allen 575 L. Sahakyan 764 Central tendency representation and exemplar Verbal and spatial acquisition as a function of distributed matching in visual short-term memory practice and code-specific interference C. Dube 589 A.P. Young· A.F. Healy· M. Jones· L.E. Bourne Jr. 779 Item repetition and retrieval processes in cued recall: Dissociating visuo-spatial and verbal working memory: Analysis of recall-latency distributions It's all in the features Y. Jang · H. Lee 792 ~1 . Poirier· J.M. Yearsley · J. Saint-Aubin· C. Fortin· G. Gallant · D. Guitard 603 Testing the primary and convergent retrieval model of recall: Recall practice produces faster recall Interpolated retrieval effects on list isolation: success but also faster recall failure IndiYiduaLdifferences in working memory capacity W.J.
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												  Models of MemoryTo be published in H. Pashler & D. Medin (Eds.), Stevens’ Handbook of Experimental Psychology, Third Edition, Volume 2: Memory and Cognitive Processes. New York: John Wiley & Sons, Inc.. MODELS OF MEMORY Jeroen G.W. Raaijmakers Richard M. Shiffrin University of Amsterdam Indiana University Introduction Sciences tend to evolve in a direction that introduces greater emphasis on formal theorizing. Psychology generally, and the study of memory in particular, have followed this prescription: The memory field has seen a continuing introduction of mathematical and formal computer simulation models, today reaching the point where modeling is an integral part of the field rather than an esoteric newcomer. Thus anything resembling a comprehensive treatment of memory models would in effect turn into a review of the field of memory research, and considerably exceed the scope of this chapter. We shall deal with this problem by covering selected approaches that introduce some of the main themes that have characterized model development. This selective coverage will emphasize our own work perhaps somewhat more than would have been the case for other authors, but we are far more familiar with our models than some of the alternatives, and we believe they provide good examples of the themes that we wish to highlight. The earliest attempts to apply mathematical modeling to memory probably date back to the late 19th century when pioneers such as Ebbinghaus and Thorndike started to collect empirical data on learning and memory. Given the obvious regularities of learning and forgetting curves, it is not surprising that the question was asked whether these regularities could be captured by mathematical functions.