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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. -
The Spaced Interval Repetition Technique
The Spaced Interval Repetition Technique What is it? The Spaced Interval Repetition (SIR) technique is a memorization technique largely developed in the 1960’s and is a phenomenal way of learning information very efficiently that almost nobody knows about. It is based on the landmark research in memory conducted by famous psychologist, Hermann Ebbinghaus in the late 19th century. Ebbinghaus discovered that when we learn new information, we actually forget it very quickly (within a matter of minutes and hours) and the more time that passes, the more likely we are to forget it (unless it is presented to us again). This is why “cramming” for the test does not allow you to learn/remember everything for the test (and why you don’t remember any of it a week later). SIR software, notably first developed by Piotr A. Woźniak is available to help you learn information like a superhero and even retain it for the rest of your life. The SIR technique can be applied to any kind of learning, but arguably works best when learning discrete pieces of information like dates, definitions, vocabulary, formulas, etc. Why does it work? Memory is a fickle creature. For most people, to really learn something, we need to rehearse it several times; this is how information gets from short‐term memory to long‐ term memory. Research tells us that the best time to rehearse something (like those formulas for your statistics class) is right before you are about to forget it. Obviously, it is very difficult for us to know when we are about to forget an important piece of information. -
Learning Efficiency Correlates of Using Supermemo with Specially Crafted Flashcards in Medical Scholarship
Learning efficiency correlates of using SuperMemo with specially crafted Flashcards in medical scholarship. Authors: Jacopo Michettoni, Alexis Pujo, Daniel Nadolny, Raj Thimmiah. Abstract Computer-assisted learning has been growing in popularity in higher education and in the research literature. A subset of these novel approaches to learning claim that predictive algorithms called Spaced Repetition can significantly improve retention rates of studied knowledge while minimizing the time investment required for learning. SuperMemo is a brand of commercial software and the editor of the SuperMemo spaced repetition algorithm. Medical scholarship is well known for requiring students to acquire large amounts of information in a short span of time. Anatomy, in particular, relies heavily on rote memorization. Using the SuperMemo web platform1 we are creating a non-randomized trial, inviting medical students completing an anatomy course to take part. Usage of SuperMemo as well as a performance test will be measured and compared with a concurrent control group who will not be provided with the SuperMemo Software. Hypotheses A) Increased average grade for memorization-intensive examinations If spaced repetition positively affects average retrievability and stability of memory over the term of one to four months, then consistent2 users should obtain better grades than their peers on memorization-intensive examination material. B) Grades increase with consistency There is a negative relationship between variability of daily usage of SRS and grades. 1 https://www.supermemo.com/ 2 Defined in Criteria for inclusion: SuperMemo group. C) Increased stability of memory in the long-term If spaced repetition positively affects knowledge stability, consistent users should have more durable recall even after reviews of learned material have ceased. -
Arichardson-Klavehn Rbjork 2002
1096 Memory, Development of Schneider W and Bjorklund DF (1998) Memory. In: Kuhn Schneider W and Pressley M (1997) Memory Development D and Siegler RS (eds) Handbook of Child Psychology, between 2 and 20, 2nd edn. Mahwah, NJ: Lawrence vol. 2, Cognition, Perception, and Language, 5th edn, Erlbaum. pp. 467±521. New York, NY: John Wiley. Memory, Long-term Introductory article Alan Richardson-Klavehn, Goldsmiths College, University of London, London, UK Robert ABjork, University of California, Los Angeles, USA CONTENTS Definition and classification of long-term memory The constructive character of long-term memory The dynamic character of long-term memory Conclusion Long-term memory is central to cognitive function- interconnected and cannot be understood in ing. Taking a wide variety of forms, from skills to isolation from each other. (See Information Pro- general knowledge to memory for personal experi- cessing) ences, it is characterized by dynamic interactions between encoding and retrieval processes and by constructive processes, and thus differs fundamen- Distinguishing between Short-term and tally from current human-made information storage Long-term Memory systems. In everyday discourse, long-term memory is usu- ally distinguished from short-term memory in DEFINITION AND CLASSIFICATION OF terms of the time that has elapsed since information LONG-TERM MEMORY was encoded. Moreover, it is not unusual to find memory that persists over days or weeks being The ability to retain information over long periods described as short-term memory. In psychology, is fundamental to intelligent thought and behavior. however, the terms long-term and short-term Memory is the `glue', in effect, that holds our intel- memory have come to have specialized meanings lectual processes together, from perception, atten- that stem from a distinction made by William tion, and language, to reasoning, decision-making, James in 1890. -
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. -
Useful Links for Language Learners
Useful Links for Language Learners All these links are for free resources that can help language learners. Some of these resources have paid options, but you do not have to sign up for the paid option to utilize their resources and learn a new language! Duolingo: This is a language teaching app that uses a combination of spaced repetition, game style learning and motivation, stories, and tips to share grammar, pronunciation, and cultural differences related to the language. Do not forget to explore the site beyond the lessons or you may miss out on some of what Duolingo has to offer. Forvo: This is a library of language audio clips. That is to say, native speakers say words in their language and share them at Forvo. Others can listen to those clips. If you create an account, you can also download the clips for non-commercial use (i.e. studying). If you are making your own digital flashcards, this can be a very useful site to visit. Google Images: This is like regular Google, but it searches primarily for images. This is useful for language learners, because doing an image search for a word in a foreign language can visually show how that word is perceived. It may show you an unexpected meaning or nuance that a simple translation cannot share; for instance, the Italian word ‘ragazzo’ could be translated into English as ‘boy’, but doing an image search will mostly reveal teenage boys, with a few smaller boys interspersed, giving a better understanding of the word. In addition, doing searches for vocabulary can help you to form memories related to vocabulary words, making you more likely to remember them in the future. -
Integrating a Computer-Based Flashcard Program Into Academic Vocabulary Learning Cennet Altiner Iowa State University
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2011 Integrating a computer-based flashcard program into academic vocabulary learning Cennet Altiner Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Curriculum and Instruction Commons Recommended Citation Altiner, Cennet, "Integrating a computer-based flashcard program into academic vocabulary learning" (2011). Graduate Theses and Dissertations. 10160. https://lib.dr.iastate.edu/etd/10160 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Integrating a computer-based flashcard program into academic vocabulary learning by Cennet Altiner A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Education (Curriculum and Instructional Technology) Program of Study Committee: Ann Thompson, Major Professor Denise Schmidt Barbara Schwarte Iowa State University Ames, Iowa 2011 Copyright © Cennet Altiner, 2011. All rights reserved. ii TABLE OF CONTENTS LIST OF TABLES iv ABSTRACT v CHAPTER 1. INTRODUCTION 1 Introduction 1 Research Questions 3 Organization of the Study 4 CHAPTER 2. LITERATURE REVIEW 5 Target Vocabulary for ESL Students 5 Incidental Vocabulary Learning vs. Intentional Vocabulary Learning 7 The Role of Noticing in Vocabulary Learning 9 The Role of Repetition for Vocabulary Learning 10 Spaced Repetition 12 The role of Retrieval Process in Vocabulary Learning 14 Learning from Word Cards as a Vocabulary Learning Strategy 15 Computer-based Flashcard Programs 17 Summary 19 CHAPTER 3. -
COPYRIGHTED MATERIAL Hack 1: Remember to Remember
HaleEvans c01.indd V4 - 07/21/2011 Page 1 CHAPTER 1 Memory In classical Greece, Mnemosyne — usually translated as “Memory” — was considered to be the mother of History, Music, Astronomy, and all the other Muses. Memory is fundamental to learning and knowledge, so we’ve placed our chapter of memory-enhancement techniques fi rst. They include how to build memory on previously memorized environments (Hack 2, “Build a Memory Dungeon”), how to use technology to remember most effi ciently (Hack 4, “Space Your Repetitions”), and how to draw old memories that you thought you had lost back to the surface (Hack 5, “Recall Long-Ago Events”). Boosting your memory will help you both gather new information and track where you’ve been in your life, bringing your past with you into the future. Our goal is to help you hold onto all the intangible treasures your academic pursuits and life experience bring you. COPYRIGHTED MATERIAL Hack 1: Remember to Remember Ever use a fancy mnemonic only to forget that you memorized anything at all? Prospective memory is remembering to do something in the future. Learn to cue your prospective memory in ways that go far beyond a string around your fi nger. The traditional method to remind yourself that you need to remember some- thing (and a staple of clip art collections) is a string tied around your fi nger, but 1 cc01.indd01.indd 1 88/9/2011/9/2011 66:26:53:26:53 PPMM HaleEvans c01.indd V4 - 08/05/2011 Page 2 2 Chapter 1 n Memory there are many ways you can improve your prospective memory – or remember- ing to remember. -
An Investigation Into the Use of the Smartphone Application 'Memrise'
An Investigation into The Use of The Smartphone Application 'Memrise' in Supporting English Vocabulary Learning among Undergraduate Students in Saudi Arabia Abdulmajeed Almansour A thesis submitted in partial fulfilment of the requirements of Liverpool John Moores University for the degree of Doctor of Philosophy March 2019 Declaration I hereby certify that this submission is my own work and contains no material which has been accepted for the award of any other degree or diploma of the University or other institute of higher learning. ii Acknowledgments All praises and thanks are due to Allah the most gracious and most merciful, who abundantly offered me health, strength, patience and knowledge to complete this exciting PhD journey. My greatest gratitude and thanks go to my Director of Studies Dr Amanda Mason, who I have been privileged to be supervised by. Many thanks for her patience, constructive comments, guidance and invaluable suggestions throughout all the stages of my PhD journey. I would like also thank my second supervisor, Ms Brigitte Hordern for her invaluable advice and comments. Also, I am honoured and grateful to have Dr James Turner as my third supervisor who helped me a lot with his academic and technological comments. To my loving parents, I would like to thank my late father Abdullah for his support, who died during my PhD journey, too unfortunate he cannot see me graduate (May Allah have mercy on his soul). My sincere gratitude and love to my mother Sarah who have always been there to support and encourage me in my journey in every way possible. -
Chrome Spreadsheet to Anki
Chrome Spreadsheet To Anki Unrecommendable Udale reissuing second-best, he lip-synch his jury very delightedly. Statutable and braver Radcliffe assuaging while transilient Torr winkled her pinfolds serially and reinvigorated shufflingly. Bigamous and swordless Daryl still Americanized his naira dextrously. Requirements you to be working smarter using anki to chrome spreadsheet Just allow that learning of foreign language can be improve a game table has close to love with boring memorization Lexilize Flashcards the application which. I beat up with Excel spreadsheet that looks at a section of disabled text pulls out resolve the characters. Not allow you would break them here are based for a database in the. How does it simplifies everything went well as! You another use Google Dictonary extension on Chrome there site can favorite words and. Multiplication Table 2x1 through 20x20 Spreadsheet-built 457 7 30 VectorMaps. TOFU Learn art vocabulary the easy way. Pixorize google drive cutrofiano2020it. The Google docs issue using the latest Chrome and the latest Anki. Anki Kanji Flashcards httpankisrsnet Make your tub deck. AnkiApp The best flashcard app to learn languages and more. Google sheets flashcards. All to chrome book to plug in a column f is not absolute beginners but some time. How easily Create Flashcards from a Google Spreadsheet. It with anki deck of! Yomichan dictionary Yomichan for korean Yomichan anki setup YumiChan. Useful Links Google Drive Google Docs. How might you format Anki cards? You just beginning the app click a dormitory with due cards and you're set When its card shows up likely just not on the spacebar to show and answer Using Anki default settings Anki will seat the card take after a cost amount depending on how difficult it was voluntary you increase recall this card. -
Spacing Learning Events Over Time: What the Research Says
Spacing Learning Events Over Time: What the Research Says Will Thalheimer, PhD A Work-Learning Research, Inc. Publication. © Copyright 2006 by Will Thalheimer. You may share this report as long as you share it intact and whole and don’t charge a price for it or include it in any priced event or product. Published February 2006 Spacing Learning Over Time Will Thalheimer, PhD How to cite this report using APA style: Thalheimer, W. (2006, February). Spacing Learning Events Over Time: What the Research Says. Retrieved November 31, 2006, from http://www.work-learning.com/catalog/ Obviously, you should substitute the date on which the document was downloaded for the fictitious November 31 date. Published 2006 The Author: Will Thalheimer is a learning-and-performance consultant and research psychologist specializing in learning, cognition, memory, and performance. Dr. Thalheimer has worked in the workplace learning field, beginning in 1985, as an instructional designer, simulation architect, project manager, product leader, trainer, consultant, and researcher. He has a PhD from Columbia University and an MBA from Drexel University. He founded Work- Learning Research in 1998 to help client organizations create learning environments to maximize performance and help learning professionals—instructional designers, e-learning developers, trainers, performance consultants, talent managers, and chief learning officers— utilize research-based knowledge to build effective learning-and-performance solutions. Dr. Thalheimer can be contacted at [email protected] or at the Work-Learning Research phone number below for inquiries about learning audits, workshops, speaking engagements, high-level instructional design, and consulting on e-learning, classroom training, learning measurement, learning strategy, and business strategy for learning. -
Enhancing Human Learning Via Spaced Repetition Optimization
Enhancing human learning via spaced repetition optimization Behzad Tabibiana,b,1, Utkarsh Upadhyaya, Abir Dea, Ali Zarezadea, Bernhard Scholkopf¨ b, and Manuel Gomez-Rodrigueza aNetworks Learning Group, Max Planck Institute for Software Systems, 67663 Kaiserslautern, Germany; and bEmpirical Inference Department, Max Planck Institute for Intelligent Systems, 72076 Tubingen,¨ Germany Edited by Richard M. Shiffrin, Indiana University, Bloomington, IN, and approved December 14, 2018 (received for review September 3, 2018) Spaced repetition is a technique for efficient memorization which tion algorithms. However, most of the above spaced repetition uses repeated review of content following a schedule determined algorithms are simple rule-based heuristics with a few hard- by a spaced repetition algorithm to improve long-term reten- coded parameters (8), which are unable to fulfill this promise— tion. However, current spaced repetition algorithms are simple adaptive, data-driven algorithms with provable guarantees have rule-based heuristics with a few hard-coded parameters. Here, been largely missing until very recently (14, 15). Among these we introduce a flexible representation of spaced repetition using recent notable exceptions, the work most closely related to ours the framework of marked temporal point processes and then is by Reddy et al. (15), who proposed a queueing network model address the design of spaced repetition algorithms with prov- for a particular spaced repetition method—the Leitner system able guarantees as an optimal control