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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. -
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. -
How to Memorize and Retain Vocabulary Effectively Using Spaced Repetition Software, Even If There Are Scarce Resources for Your Language
How to memorize and retain vocabulary effectively using spaced repetition software, even if there are scarce resources for your language Jed Meltzer, Ph.D. Rotman Research Institute, Baycrest University of Toronto Elements of language learning Social interaction Instruction Drilling, repetition Language learning balance All teacher-driven: costly, limited availability, Travel difficulties, physical distancing Limited opportunity to study at your own pace. All drilling: hard to stay focused. Hard to choose appropriate exercises Easy to waste time on non-helpful drills Vocabulary size • Highly correlated with overall language knowledge • Relates to standardized proficiency levels • Can be tracked very accurately if you start from the beginning of your language learning journey. Estimated vocabulary size for CEFR • A1 <1500 • A2 1500–2500 • B1 2750–3250 • B2 3250–3750 • C1 3750–4500 • C2 4500–5000 Estimates of vocabulary size needed Robert Bjork on learning: • "You can't escape memorization," he says. "There is an initial process of learning the names of things. That's a stage we all go through. It's all the more important to go through it rapidly." The human brain is a marvel of associative processing, but in order to make associations, data must be loaded into memory. Want to Remember Everything You'll Ever Learn? Surrender to This Algorithm Wired magazine, April 21, 2008 Vocab lists • Provide structure to courses, whether in university, community, online. • Provide opportunity to catch up if you miss a class or start late. • Help to make grammar explanations understandable – much easier to follow if you know the words in the examples. Spaced repetition Leitner Box Flashcard apps Anki Popular apps • Anki – favourite of super language nerds – open-source, non-commercial – free on computer and android, $25 lifetime iPhone • Memrise – similar to Anki, slicker, more user-friendly, – paid and free versions. -
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. -
Serial Position Effects and Forgetting Curves: Implications in Word
Studies in English Language Teaching ISSN 2372-9740 (Print) ISSN 2329-311X (Online) Vol. 2, No. 3, 2014 www.scholink.org/ojs/index.php/selt Original Paper Serial Position Effects and Forgetting Curves: Implications in Word Memorization Guijun Zhang1* 1 Department of Foreign Languages, China Pharmaceutical University, Nanjing, China * Guijun Zhang, E-mail:[email protected] Abstract Word memorization is important in English learning and teaching. The theory and implications of serial position effects and forgetting curves are discussed in this paper. It is held that they help students understand the psychological mechanisms underlying word memorization. The serial position effects make them to consider the application the chunking theory in word memorization; the forgetting curve reminds them to repeat the words in long-term memory in proper time. Meanwhile the spacing effect and elaborative rehearsal effect are also discussed as they are related to the forgetting curve. Keywords serial position effects, forgetting curves, word memorization 1. Introduction English words are extraordinarily significant for English foreign language (EFL) learners because they are the essential basis of all language skills. As Wilkins said, “...while without grammar very little can be conveyed, without vocabulary nothing can be conveyed” (Wilkins, 1972). Effective word memorization plays a significant role in the process of vocabulary learning. Researchers have and are still pursuing and summarizing the effective memory methods. Schmitt, for example, classified vocabulary memory strategies into more than twenty kinds (Schmitt, 1997, p. 34). However, it is hard to improve the efficiency of the vocabulary memory in that different students remember the huge amount of words with some certain method or methods that may not suit them. -
A Spaced-Repetition Approach to Enhance Medical Student Learning and Engagement in Pharmacology
A Spaced-Repetition Approach to Enhance Medical Student Learning and Engagement in Pharmacology Dylan Jape Monash University Jessie Zhou Monash University Shane Bullock ( [email protected] ) Monash University Research Article Keywords: pharmacology, spaced-repetition, ashcards, medical education Posted Date: July 12th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-625499/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/20 Abstract Background: Pharmacology is a cornerstone of medical education as it underlies safe prescribing practices. However, medical students have reported unease regarding their perceived prociency in clinical pharmacology. Despite the signicant impetus to improve student outcomes, there is little analysis available of the techniques used by medical students to learn, retain and apply pharmacology knowledge. Methods: A mixed methods, student-focused approach was conducted to design and rene specic resources developed to address gaps in pharmacology education. This methodology comprised an anonymised scoping survey, followed by structured focus group interviews. We developed a relevant and time ecient resource to support long-term revision for academic and clinical success. These resources were released to a cohort of 100 graduate preclinical medical students who were invited at the end of year to evaluate the intervention via a subsequent anonymous survey. Results: The scoping survey received 103 complete responses. Surveys and focus group interviews revealed that only 50% of students engage in ongoing revision. The analysis identied in-semester revision of pharmacology as a signicant predictor of strategic and deep learning methods and improved quiz performance (a 5% higher score on average), compared to supercial learning methods. -
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. -
Small Memory Software by Weir, Noblea Programmer’S Introduction to Small Memory Software
Preface Small Memory Software by Weir, NobleA Programmer’s Introduction to Small Memory Software. Preface Version 25/04/00 10:10 - 2 Once upon a time computer memory was one of the most expensive commodities on earth, and large amounts of human ingenuity were spent trying to simulate supernova explosions with nothing more than a future Nobel prize winner and a vast array of valves. Nowadays many people have enough computer memory to support simulating the destruction of most of the galaxy in any one of their hand-held phones, digital diaries, or microwave ovens. But at least two things have remained constant throughout the history of computing. Software design remains hard [Gamma et al 1995], and its functionality still expands to fill the memory available [Potter 1948]. This book addresses both these issues. Patterns have proved a successful format to capture knowledge about software design; these patterns in particular tackle memory requirements. As authors we had other several additional aims in writing this book. As patterns researchers and writers we wanted to learn more about patterns and pattern writing, and as software designers and architects we wanted to study existing systems to learn from them. In particular: · We wanted to gain and share an in-depth knowledge of portable small memory techniques; techniques that work in many different environments. · We wanted to write a complete set of patterns dealing with one single force — in this case, memory requirements. · We wanted to study the relationships between patterns, and to group and order the patterns based on these mutual relationships, and lastly: · We wanted an approachable book, one to skim for fun rather than to suffer as a penance. -
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). -
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.