Serial Position Effects and Forgetting Curves: Implications in Word
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A Queueing-Theoretic Foundation for Optimal Spaced Repetition
A Queueing-Theoretic Foundation for Optimal Spaced Repetition Siddharth Reddy [email protected] Department of Computer Science, Cornell University, Ithaca, NY 14850 Igor Labutov [email protected] Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14850 Siddhartha Banerjee [email protected] School of Operations Research and Information Engineering, Cornell University, Ithaca, NY 14850 Thorsten Joachims [email protected] Department of Computer Science, Cornell University, Ithaca, NY 14850 1. Extended Abstract way back to 1885 and the pioneering work of Ebbinghaus (Ebbinghaus, 1913), identify two critical variables that de- In the study of human learning, there is broad evidence that termine the probability of recalling an item: reinforcement, our ability to retain a piece of information improves with i.e., repeated exposure to the item, and delay, i.e., time repeated exposure, and that it decays with delay since the since the item was last reviewed. Accordingly, scientists last exposure. This plays a crucial role in the design of ed- have long been proponents of the spacing effect for learn- ucational software, leading to a trade-off between teaching ing: the phenomenon in which periodic, spaced review of new material and reviewing what has already been taught. content improves long-term retention. A common way to balance this trade-off is spaced repe- tition, which uses periodic review of content to improve A significant development in recent years has been a grow- long-term retention. Though spaced repetition is widely ing body of work that attempts to ‘engineer’ the process used in practice, e.g., in electronic flashcard software, there of human learning, creating tools that enhance the learning is little formal understanding of the design of these sys- process by building on the scientific understanding of hu- tems. -
Spaced Learning Strategy in Teaching Mathematics Ace T
International Journal of Scientific & Engineering Research, Volume 8, Issue 4, April-2017 851 ISSN 2229-5518 Spaced Learning Strategy in Teaching Mathematics Ace T. Ceremonia, Remalyn Q. Casem Abstract—Students’ low mastery of the lesson in Mathematics is one of the alarming problems confronted by Mathematics teachers. It is in this light that this study was conceptualized to determine the effectiveness of spaced learning strategy on the performance and mastery of DMMMSU Laboratory High School students (Grade 7) in Mathematics. This study used the true experimental design, specifically the pretest-posttest control group design. The main instrument used to gather data was the pretest-posttest which was subjected to validity and reliability tests. It was found out that the experimental and control groups were comparable in the pretest and posttest. Comparison on their gain scores revealed significant difference with the performance of the experimental higher than the control group. It was also found out that the effect size of using the spaced learning strategy was large. This indicates that the intervention is effective in increasing the performance and mastery of high school students in Mathematics. It is recommended the use of the Spaced Learning Strategy to improve the performance of the high school students in Mathematics. Index Terms— basic education, effect size, mathematics performance, spaced learning strategy. —————————— —————————— 1 INTRODUCTION 1.1 Situation Analysis results, such as the 2003 TIMSS (Trends in International Mathematics and Science Study), the Philippines ranked 34th out uality education is reflected on the exemplary outputs and of 38 countries in HS II Math and ranked 43rd out of 46 countries Q outstanding performances of students in academics and in HS II Science; for grade 4, the Philippines ranked 23rd out of 25 related co-curricular activities (Glossary Education Reform, participating countries in both Math and Science. -
Applying Cognitive Psychology to Education: Complexities and Prospectsଝ
Journal of Applied Research in Memory and Cognition 1 (2012) 263–265 Contents lists available at SciVerse ScienceDirect Journal of Applied Research in Memory and Cognition journal homepage: www.elsevier.com/locate/jarmac Reply Applying cognitive psychology to education: Complexities and prospectsଝ Henry L. Roediger III ∗, Mary A. Pyc Washington University in St. Louis, United States article info Article history: Received 31 October 2012 Accepted 31 October 2012 Keywords: Research Education Techniques to improve education We appreciate the thoughtful responses to our target article student a computer and hope for the best, in the great American from the respondents. We even agree with (almost) all their points. tradition of throwing money at a problem even if it is unlikely to Who could disagree with the argument that “more research in have an effect. classrooms is needed” or that “we need to teach for transfer (if we Somehow we do not see the current situation as quite so grim. can figure out how)”? Here we provide a few reflections aroused After all, Hermann Ebbinghaus discovered the spacing effect in by the comments. 1885 (Ebbinghaus, 1885/1913), and it has been documented in Mayer (2012) reminds us of the long history of psychologists hundreds of studies since then in all manner of species, paradigms, being interested in applying their knowledge to education. Of and, in humans, with children, college students and older adults. course, when William James wrote his book on Talks for Teachers in Further, the effect occurs with many sorts of materials, including 1891, there was not much of an empirical research base on which educationally relevant ones. -
Chapter 6 Objectives Memory
Chapter 6 Objectives Memory After studying this chapter, students should be able to: Introduction: What Is Memory? 1. Define memory, and explain the processes of encoding, storage, and retrieval. 2. Describe the stage model of memory, and describe how each of the three stages functions. 3. Discuss the function, duration, capacity, and types of sensory memory, and explain how George Sperling’s experiment advanced the understanding of sensory memory. 4. Describe the function, duration, and capacity of short-term memory, and explain the usefulness of chunking. 5. Explain the functions of the different components in Baddeley’s model of working memory. 6. Give examples of maintenance rehearsal and elaborative rehearsal, and explain why one of these is more effective in encoding long-term memories. 7. Describe the types of information in long-term memory, and explain the differences between implicit memory and explicit memory. 8. Culture and Human Behavior: Discuss the findings of research that investigated the earliest memories in European American college students compared to Chinese and Taiwanese college students. 9. Discuss the organization of information in long-term memory. Retrieval: Getting Information from Long-Term Memory 10. Define retrieval, noting how retrieval cues work, and describe what happens when retrieval fails, as in a tip-of-the-tongue (TOT) experience. 11. Compare and contrast recognition and recall in terms of retrieval. Compare free recall with cued recall. How do these factors influence the serial position effect? 12. Discuss the context effect and mood congruence as different forms of the encoding specificity principle, and evaluate the accuracy of flashbulb memories. -
Osmosis Study Guide
How to Study in Medical School How to Study in Medical School Written by: Rishi Desai, MD, MPH • Brooke Miller, PhD • Shiv Gaglani, MBA • Ryan Haynes, PhD Edited by: Andrea Day, MA • Fergus Baird, MA • Diana Stanley, MBA • Tanner Marshall, MS Special Thanks to: Henry L. Roediger III, PhD • Robert A. Bjork, PhD • Matthew Lineberry, PhD About Osmosis Created by medical students at Johns Hopkins and the former Khan Academy Medicine team, Os- mosis helps more than 250,000 current and future clinicians better retain and apply knowledge via a web- and mobile platform that takes advantage of cutting-edge cognitive techniques. © Osmosis, 2017 Much of the work you see us do is licensed under a Creative Commons license. We strongly be- lieve educational materials should be made freely available to everyone and be as accessible as possible. We also want to thank the people who support us financially, so we’ve made this exclu- sive book for you as a token of our thanks. This book unlike much of our work, is not under an open license and we reserve all our copyright rights on it. We ask that you not share this book liberally with your friends and colleagues. Any proceeds we generate from this book will be spent on creat- ing more open content for everyone to use. Thank you for your continued support! You can also support us by: • Telling your classmates and friends about us • Donating to us on Patreon (www.patreon.com/osmosis) or YouTube (www.youtube.com/osmosis) • Subscribing to our educational platform (www.osmosis.org) 2 Contents Problem 1: Rapid Forgetting Solution: Spaced Repetition and 1 Interleaved Practice Problem 2: Passive Studying Solution: Testing Effect and 2 "Memory Palace" Problem 3: Past Behaviors Solution: Fogg Behavior Model and 3 Growth Mindset 3 Introduction Students don’t get into medical school by accident. -
Where Companies Go Wrong with Learning and Development by Steve Glaveski
REPRINT H055J1 PUBLISHED ON HBR.ORG OCTOBER 02, 2019 ARTICLE BUSINESS EDUCATION Where Companies Go Wrong with Learning and Development by Steve Glaveski This article is made available to you with compliments of EGN for your personal use. Further posting, copying, or distribution is not permitted. BUSINESS EDUCATION Where Companies Go Wrong with Learning and Development by Steve Glaveski OCTOBER 02, 2019 GREGOR SCHUSTER/GETTY IMAGES Organizations spent $359 billion globally on training in 2016, but was it worth it? Not when you consider the following: • 75% of 1,500 managers surveyed from across 50 organizations were dissatisfied with their company’s Learning & Development (L&D) function; COPYRIGHT © 2019 HARVARD BUSINESS SCHOOL PUBLISHING CORPORATION. ALL RIGHTS RESERVED. 2 • 70% of employees report that they don’t have mastery of the skills needed to do their jobs; • Only 12% of employees apply new skills learned in L&D programs to their jobs; and • Only 25% of respondents to a recent McKinsey survey believe that training measurably improved performance. Not only is the majority of training in today’s companies ineffective, but the purpose, timing, and content of training is flawed. Learning for the Wrong Reasons Bryan Caplan, professor of economics at George Mason University, and author of The Case Against Education, says in his book that education often isn’t so much about learning useful job skills, but about people showing off, or “signaling.” Today’s employees often signal through continuous professional education (CPE) credits so that they can make a case for a promotion. L&D staff also signal their worth by meeting flawed KPIs, such as the total CPE credits employees earn, rather than focusing on the business impact created. -
Teaching the Science of Learning Yana Weinstein1* , Christopher R
Weinstein et al. Cognitive Research: Principles and Implications (2018) 3:2 Cognitive Research: Principles DOI 10.1186/s41235-017-0087-y and Implications TUTORIALREVIEW Open Access Teaching the science of learning Yana Weinstein1* , Christopher R. Madan2,3 and Megan A. Sumeracki4 Abstract The science of learning has made a considerable contribution to our understanding of effective teaching and learning strategies. However, few instructors outside of the field are privy to this research. In this tutorial review, we focus on six specific cognitive strategies that have received robust support from decades of research: spaced practice, interleaving, retrieval practice, elaboration, concrete examples, and dual coding. We describe the basic research behind each strategy and relevant applied research, present examples of existing and suggested implementation, and make recommendations for further research that would broaden the reach of these strategies. Keywords: Education, Learning, Memory, Teaching Significance educators who might be interested in integrating the Education does not currently adhere to the medical strategies into their teaching practice, (b) science of learn- model of evidence-based practice (Roediger, 2013). ing researchers who are looking for open questions to help However, over the past few decades, our field has made determine future research priorities, and (c) researchers in significant advances in applying cognitive processes to other subfields who are interested in the ways that princi- education. From this work, specific recommendations ples from cognitive psychology have been applied to can be made for students to maximize their learning effi- education. ciency (Dunlosky, Rawson, Marsh, Nathan, & Willing- While the typical teacher may not be exposed to this ham, 2013; Roediger, Finn, & Weinstein, 2012). -
Nicolas Schweighofer's Curriculum Vitae
CURRICULUM VITAE NICOLAS SCHWEIGHOFER, PhD PERSONAL INFORMATION University Address: Division of Biokinesiology and Physical Therapy University of Southern California Los Angeles, CA, 90089-9006 Phone: (1) 323 -442 -1838 Email: [email protected] Lab website: http://pt.usc.edu/labs/cnrl EDUCATION AND PROFESSIONAL APPOINTMENTS UNIVERSITY EDUCATION 1991-1995 PhD, University of Southern California, Los Angeles: Neuroscience, (Computational Neuroscience Emphasis) (Advisor: Dr. M. Arbib) 1988-1990 Diplôme d’Ingénieur, Ecole Nationale Supérieure de Mécanique, Nantes, France (since ‘Ecole Centrale de Nantes’): Mechanics and Control System Engineering 1985-1987 Undergraduate training: Mathématiques Spéciales P’, Lycée Descartes, Tours, France: Advanced Mathematics and Physics POST-GRADUATE TRAINING 1996-1997 Postdoctoral Fellow, Human Information Science, ATR, Kyoto, Japan: Computational Neuroscience (Mentor: Dr. M. Kawato) APPOINTMENTS 2011-Present Associate Professor (with Tenure), Division of Biokinesiology & Physical Therapy, University of Southern California 2011-Present Joint Appointment (courtesy), Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California 2004-Present Joint Appointment (courtesy), Department of Computer Science, Viterbi School of Engineering, University of Southern California 2004-Present Joint Appointment (courtesy), Neuroscience Graduate Program, University of Southern California 2004-2010 Assistant Professor (Tenure track), Division of Biokinesiology & Physical Therapy, University -
Modelling Language Learning of Duolingo Users
Modelling language learning of Duolingo users Floor Dikker STUDENT NUMBER: 2017217 THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN DATA SCIENCE & SOCIETY DEPARTMENT OF COGNITIVE SCIENCE & ARTIFICIAL INTELLIGENCE SCHOOL OF HUMANITIES AND DIGITAL SCIENCES TILBURG UNIVERSITY Thesis committee: Dr. Hendrickson Dr. Alishahi Tilburg University School of Humanities and Digital Sciences Department of Cognitive Science & Artificial Intelligence Tilburg, The Netherlands June, 2019 Data Science and Society 2019 2 Data Science and Society 2019 Preface Dear reader, I present to you my thesis about modelling language learning of users of Duolingo. First of all, I would like to thank Dr. Hendrickson for his guidance. I have found our meetings and your suggestions very helpful. Moreover, your enthusiasm is very contagious which made writing this thesis a more fun experience. I would also like to thank my parents and brother for offering support during my entire studies and always offering a listening ear. Finally, I would like to thank my boyfriend for supporting me all the way. I hope you enjoy reading my thesis, Floor Dikker 3 Data Science and Society 2019 Table of Contents 1. Introduction ....................................................................................................... 6 2. Related Work..................................................................................................... 9 2.1 The SLAM challenge ................................................................................... -
Probabilistic Models of Student Learning and Forgetting
Probabilistic Models of Student Learning and Forgetting by Robert Lindsey B.S., Rensselaer Polytechnic Institute, 2008 A thesis submitted to the Faculty of the Graduate School of the University of Colorado in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Computer Science 2014 This thesis entitled: Probabilistic Models of Student Learning and Forgetting written by Robert Lindsey has been approved for the Department of Computer Science Michael Mozer Aaron Clauset Vanja Dukic Matt Jones Sriram Sankaranarayanan Date The final copy of this thesis has been examined by the signatories, and we find that both the content and the form meet acceptable presentation standards of scholarly work in the above mentioned discipline. IRB protocol #0110.9, 11-0596, 12-0661 iii Lindsey, Robert (Ph.D., Computer Science) Probabilistic Models of Student Learning and Forgetting Thesis directed by Prof. Michael Mozer This thesis uses statistical machine learning techniques to construct predictive models of human learning and to improve human learning by discovering optimal teaching methodologies. In Chapters 2 and 3, I present and evaluate models for predicting the changing memory strength of material being studied over time. The models combine a psychological theory of memory with Bayesian methods for inferring individual differences. In Chapter 4, I develop methods for delivering efficient, systematic, personalized review using the statistical models. Results are presented from three large semester-long experiments with middle school students which demonstrate how this \big data" approach to education yields substantial gains in the long-term retention of course material. In Chapter 5, I focus on optimizing various aspects of instruction for populations of students. -
Overview and History of Memory Research
M01_RADV4825_02_SE_CH01.QXD 10/16/10 10:41 AM Page 1 CHAPTER ONE OVERVIEW AND HISTORY OF MEMORY RESEARCH Memory is perhaps the most central aspect of human thought. Any question about human behavior, cognition, development, and nature requires an understanding of mem- ory. Our memory makes us who we are, and it is one of the most intimate parts of our- selves. This may be why when we get close to someone, when we want them to know who we are and we want to know who they are, there is a sharing of memories. Many feel that the study of human memory is the closest one can get to a systematic study of the human soul. The aim of this book is to provide you, the student, with a survey and guide to what is known about human memory. As with most courses, there are a number of facts and ideas to learn. However, as any good professor will tell you, the slow accu- mulation of facts is not the main point of course work. The primary aim is to provide you with a deeper understanding and appreciation of some aspect of the world—and, hopefully, yourself. I trust that the ideas presented in this book will be useful in your life after this course is completed. A SMATTERING OF DEFINITIONS Before diving into the subject matter, we need to establish some points. Specifically, we need to define how the terms memory and learning are used. The primary subject of this book is, of course, memory. So what is memory? Well, the problem, and the beauty, of this term is that it has many meanings. -
The Three Amnesias
The Three Amnesias Russell M. Bauer, Ph.D. Department of Clinical and Health Psychology College of Public Health and Health Professions Evelyn F. and William L. McKnight Brain Institute University of Florida PO Box 100165 HSC Gainesville, FL 32610-0165 USA Bauer, R.M. (in press). The Three Amnesias. In J. Morgan and J.E. Ricker (Eds.), Textbook of Clinical Neuropsychology. Philadelphia: Taylor & Francis/Psychology Press. The Three Amnesias - 2 During the past five decades, our understanding of memory and its disorders has increased dramatically. In 1950, very little was known about the localization of brain lesions causing amnesia. Despite a few clues in earlier literature, it came as a complete surprise in the early 1950’s that bilateral medial temporal resection caused amnesia. The importance of the thalamus in memory was hardly suspected until the 1970’s and the basal forebrain was an area virtually unknown to clinicians before the 1980’s. An animal model of the amnesic syndrome was not developed until the 1970’s. The famous case of Henry M. (H.M.), published by Scoville and Milner (1957), marked the beginning of what has been called the “golden age of memory”. Since that time, experimental analyses of amnesic patients, coupled with meticulous clinical description, pathological analysis, and, more recently, structural and functional imaging, has led to a clearer understanding of the nature and characteristics of the human amnesic syndrome. The amnesic syndrome does not affect all kinds of memory, and, conversely, memory disordered patients without full-blown amnesia (e.g., patients with frontal lesions) may have impairment in those cognitive processes that normally support remembering.