Probabilistic Models of Student Learning and Forgetting
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Universidad De Almería
UNIVERSIDAD DE ALMERÍA MÁSTER EN PROFESORADO DE EDUCACIÓN SECUNDARIA OBLIGATORIA Y BACHILLERATO, FORMACIÓN PROFESIONAL Y ENSEÑANZA DE IDIOMAS ESPECIALIDAD EN LENGUA INGLESA Curso Académico: 2015/2016 Convocatoria: Junio Trabajo Fin de Máster: Spaced Retrieval Practice Applied to Vocabulary Learning in Secondary Education Autor: Héctor Daniel León Romero Tutora: Susana Nicolás Román ABSTRACT Spaced retrieval practice is a learning technique which has been long studied (Ebbinghaus, 1885/1913; Gates, 1917) and long forgotten at the same time in education. It is based on the spacing and the testing effects. In recent reviews, spacing and retrieving practices have been highly recommended as there is ample evidence of their long-term retention benefits, even in educational contexts (Dunlosky, Rawson, Marsh, Nathan & Willingham, 2013). An experiment in a real secondary education classroom was conducted in order to show spaced retrieval practice effects in retention and student’s motivation. Results confirm the evidence, spaced retrieval practice showed higher long-term retention (26 days since first study session) of English vocabulary words compared to massed practice. Also, student’s motivation remained high at the end of the experiment. There is enough evidence to suggest educational institutions should promote the use of spaced retrieval practice in classrooms. RESUMEN La recuperación espaciada es una técnica de aprendizaje que se lleva estudiando desde hace muchos años (Ebbinghaus, 1885/1913; Gates, 1917) y que al mismo tiempo ha permanecido como una gran olvidada en los sistemas educativos. Se basa en los efectos que producen el repaso espaciado y el uso de test. En recientes revisiones de la literatura se promueve encarecidamente el uso de estas prácticas, ya que aumentan la retención de recuerdos en la memoria a largo plazo, incluso en contextos educativos (Dunlosky, Rawson, Marsh, Nathan & Willingham, 2013). -
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. -
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. -
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. -
Testing Effect”: a Review
Trends in Neuroscience and Education 5 (2016) 52–66 Contents lists available at ScienceDirect Trends in Neuroscience and Education journal homepage: www.elsevier.com/locate/tine Review article Neurocognitive mechanisms of the “testing effect”: A review Gesa van den Broek a,n,1, Atsuko Takashima a,1, Carola Wiklund-Hörnqvist b,c, Linnea Karlsson Wirebring b,c,d, Eliane Segers a, Ludo Verhoeven a, Lars Nyberg b,d,e a Radboud University, Behavioural Science Institute, 6500 HC Nijmegen, The Netherlands b Umeå University, Umeå Center for Functional Brain Imaging (UFBI), 901 87 Umeå, Sweden c Umeå University, Department of Psychology, 901 87 Umeå, Sweden d Umeå University, Department of Integrative Medical Biology, 901 87 Umeå, Sweden e Umeå University, Department of Radiation Sciences, 901 87 Umeå, Sweden article info abstract Article history: Memory retrieval is an active process that can alter the content and accessibility of stored memories. Of Received 16 October 2015 potential relevance for educational practice are findings that memory retrieval fosters better retention Received in revised form than mere studying. This so-called testing effect has been demonstrated for different materials and po- 27 May 2016 pulations, but there is limited consensus on the neurocognitive mechanisms involved. In this review, we Accepted 30 May 2016 relate cognitive accounts of the testing effect to findings from recent brain-imaging studies to identify Available online 2 June 2016 neurocognitive factors that could explain the testing effect. Results indicate that testing facilitates later Keywords: performance through several processes, including effects on semantic memory representations, the se- Testing effect lective strengthening of relevant associations and inhibition of irrelevant associations, as well as po- Retrieval tentiation of subsequent learning. -
Cognitive Biases and Their Effect on Mobile Learning: the Example of the Continued Influence Bias and Negative Suggestion Effect
Cognitive Biases and their Effect on Mobile Learning: The Example of the Continued Influence Bias and Negative Suggestion Effect Christina Schneegass Fiona Draxler LMU Munich LMU Munich Munich, Germany Munich, Germany [email protected] [email protected] ABSTRACT Cognitive biases can consciously and subconsciously affect the way we store and recall previously learned information. In the use case of mobile learning, biases such as the Negative Suggestion Effect (NSE) can make us think a statement is correct because we wrongfully selected it in a previous multiple-choice test. In some cases, the suggestion effect is so persistent that even corrections can not stop us from drawing assumptions based on the misinformation we once learned. This effect is called the Continued Influence Bias (CIB). To avoid the creation of such incorrect and sometimes persistent memories, learning applications need to be designed carefully. In this position paper, we discuss the influence of the presented number of answer options, feedback, and lesson design on the strength of the NSE and CIB and provide recommendations for countermeasures. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). CHI’20, April 25, 2020, Honolulu HI, USA © 2020. Proceedings of the CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems Copyright held by the owner/author(s). -
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. -
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. -
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. -
The Art of Retention Tip 1: We All Forget Things…And That's Ok
The Art of Retention Karyn King TUSM-MMC, M18 It’s midnight the night before a final exam and you’re sitting in front of a pile of notes that you half- heartedly studied while watching the entire series of Friends (again) during the past four weeks of your histology course. Driven by caffeine and an ingrained fear of failure, you realize it’s time to cram every fact you can into your brain before your 8:00 am exam tomorrow morning. Flash forward to one week later when your test scores come out. You nervously open the grading portal, an 87! You think to yourself, “not bad, what was that exam on again?!” Does this scenario sound at all familiar? As medical knowledge expands, those in the medical field are tasked with working towards mastery of a vastly large amount of information. Unfortunately, with the nature of multiple choice tests and standardized board examinations, several mistakes can be made while attempting to “master” this content. Below are some tips to not only help with examination performance, but also with long-term retention and subsequent incorporation of learned content into clinical activities. Tip 1: We all forget things…and that’s ok - In 1880, Ebbinghaus set out to determine the relationship between learning and forgetting. Using a single-subject experimental design (i.e. using himself as the subject) he created a “forgetting curve” based on his retention of nonsense syllables over time. There have been several other attempts to classify the relationship between learning and forgetting which have produced similar, yet slightly variable forgetting curves. -
Applying Cognitive Science Principles to Promote Durable and Efficient
Outline 1. Do tests only measure learning, or can they also promote learning? Testing effect 2. Should you review/practise the material you are Applying Cognitive trying to learn soon after you first encounter the material, or should you wait? Science Principles to Spacing effect Promote Durable and 3. During practice, should items of the same Efficient Learning type/topic be grouped together, or should they be mixed with items of other types/topics? Interleaving Sean Kang, PhD • General conclusions 2 August 2019 1 “A curious peculiarity of our memory is that things are impressed better by Purpose of Tests / Quizzes active than by passive repetition. I mean that in learning (by heart, for example), when we almost know the piece, it pays better to wait and • Traditionally, an assessment tool recollect by an effort from within, than to look at the book again. If we recover the words in the former way, we shall probably know them the next time round; if in the latter way, we shall very likely need the book once more.” • But testing does not merely measure the (William James, 1890, Principles of Psychology) contents of memory “If you read a piece of text through twenty times, you will not learn it by heart • Taking a test can serve as a learning so easily as if you read it ten times while attempting to recite from time to time and consulting the text when your memory fails.” opportunity, enhancing memory retention to a (Sir Francis Bacon, 1620, Novum organum) greater extent than additional studying… the testing effect “Exercise in repeatedly recalling a thing strengthens the memory.” (Aristotle, 4th century B.C., De Memoria et Reminiscentia) (also referred to as the benefit of retrieval practice) First published study: Abbott (1909) The Testing Effect Testing effect: How does it work? • Journal of Educational Psychology, 1989: 1. -
On the Forgetting of College Academics: at “Ebbinghaus Speed”?
CBMM Memo No. 068 June 20, 2017 ON THE FORGETTING OF COLLEGE ACADEMICS: AT “EBBINGHAUS SPEED”? Brian Subirana1, Aikaterini Bagiati2, Sanjay Sarma3 1Director4, MIT Auto-ID Laboratory, Cambridge, MA, USA 2Research Scientist, MIT Office of Digital Learning, MA, USA 3Vicepresident of Open Learning, MIT, Cambridge, MA, USA Abstract How important are Undergraduate College Academics after graduation? How much do we actually remember after we leave the college classroom, and for how long? Taking a look at major University ranking methodologies one can easily observe they consistently lack any objective measure of what content knowledge and skills students retain from college education in the long term. Is there any rigorous scholarly published evidence on retention of long-term unused academic content knowledge? We have found no such evidence based on a preliminary literature review. Furthermore, findings in all research papers reviewed in this study were consistent with the following assertion: the Ebbinghaus forgetting curve [Ebbinghaus 1880-1885] is a fundamental law of human nature – in fact, of the whole animal kingdom and applies to memory of all types: verbal, visual, abstract, social and autobiographical. This fundamental law of nature, when examined within the context of academic learning retention, manifests itself as an exponential curve halving memory saliency about every two years (what we call "Ebbinghaus Speed"). This paper presents the research group’s initial hypothesis and conjectures for college level education programming and curriculum development, suggestions for instructional design enhancing learning durability, as well as future research directions. This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF-1231216.