The Effectiveness of Flashcards to Teach Different Language Leveled Students
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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). -
Universidad Mayor De San Andres Facultad De Humanidades Y Ciencias De La Educación Carrera De Lingüística E Idiomas
UNIVERSIDAD MAYOR DE SAN ANDRES FACULTAD DE HUMANIDADES Y CIENCIAS DE LA EDUCACIÓN CARRERA DE LINGÜÍSTICA E IDIOMAS COMPARING THE EFFECTIVENESS BETWEEN PAPER FLASHCARDS VERSUS FLASHCARDS SOFTWARE TO IMPROVE RECEPTIVE AND PRODUCTIVE KNOWLEDGE OF ENGLISH VOCABULARY Tesis de grado presentada para la obtención del Grado de Licenciatura POR: GUIDO ALVARO LOPEZ MAMANI TUTORA: M.Sc. LEIDY IBAÑEZ RODRIGUEZ LA PAZ – BOLIVIA 2020 I UNIVERSIDAD MAYOR DE SAN ANDRÉS FACULTAD DE HUMANIDADES Y CIENCIAS DE LA EDUCACIÓN CARRERA DE LINGÜÍSTICA E IDIOMAS Tesis de grado: COMPARING THE EFFECTIVENESS BETWEEN PAPER FLASHCARDS VERSUS FLASHCARD SOFTWARE TO IMPROVE RECEPTIVE AND PRODUCTIVE KNOWLEDGE OF ENGLISH VOCABULARY Presentada por: Guido Alvaro Lopez Mamani Para optar el grado académico de Licenciado en Lingüística e Idiomas Nota numeral: ...................................................................................................................... Nota literal: .......................................................................................................................... Ha sido.................................................................................................................................. Directora a.i. de carrera: ………………………………………………. Lic. Maria Virginia Ferrufino Loza Tutora: ………………………………………………. M.Sc. Leidy Ibañez Rodriguez Tribunal: ………………………………………………. Mg.Sc. Maria Eugenia Sejas Ralde Tribunal: ………………………………………………. Mg.Sc. David Aduviri Delgado La Paz 12 de noviembre de 2020 II DEDICATORY I dedicate this work to people -
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 -
Learning with Smartphones
LEARNING WITH SMARTPHONES Case study of learning drug prescribing using the PharmaFrog app Inauguraldissertation zur Erlangung des Akademischen Grades eines Dr. phil., vorgelegt dem Fachbereich 02 Sozialwissenschaften, Medien und Sport der Johannes Gutenberg-Universität Mainz von Dativa Tibyampansha aus Tansania Mainz, Germany Tag des Prüfungskolloquiums: July 15, 2020 PRELIMINARY REMARKS I would like acknowledge the indispensable contributions of the following individuals and institutions: 1) This thesis’ advisors 2) Programmers 3) PharmaFrog app concept and content developers 4) The participants of the surveys and of the PharmaFrog app evaluation presented in this thesis 5) My family and friends for moral support and encouragement. The PharmaFrog app can be downloaded using the following QR codes. Android iOS i TABLE OF CONTENTS LIST OF FIGURES ................................................................................................................. vi LIST OF TABLES ................................................................................................................. viii ABBREVIATIONS .................................................................................................................. ix SUMMARY ............................................................................................................................... 1 INTRODUCTION..................................................................................................................... 3 Deficiencies in drug prescribing .................................................................................................................... -
Senior Students
Digital Ambition Parent Discussion Guide This sheet is intended to help you have a discussion with your child about how to study in the most effective way. Below, we have a number of useful study applications and suggested questions that you and your child can ask each other about how you both learn to do new things and manage your time. By sharing your experiences with your child, we hope that you both improve your productivity in both study and work. Each question should be answered by your child AND yourself. Applications that help you create Applications that reduce/block distractions flashcards/quizzes and study schedules One of the biggest problems for modern students is the number of online and mobile distractions that hinder effective study. Research has shown that retrieval practice is one of the most effective ways of studying. Retrieval practice is testing Many of these websites and programs have hundreds of yourself regularly about the key ideas in anything new you’re engineers designing them to figure out the best way to get learning. One common way of this is creating flashcards on people to use them and keep using them, so it’s not a surprise the key ideas as you’re reading the material for the first time that many students give into the temptation to check their and then testing yourself as a way of studying the material. phone or surf the web for a minute and then find out that they’ve wasted most of their study time. Research also shows that if you spread out what you are studying so that you revise material just before you’re about Rescuetime: to forget it, your long-term learning will be much better. -
The Standard for Personalized Learning We Focus on the “How” in Learning
The standard for personalized learning We focus on the “how” in learning We want to help learners study more efficiently so they can reap measureable knowledge gains.* We provide insights into learner diligence, knowledge and agility that can guide learners in achieving their potential. *86% of students surveyed in courses across the U.S. said they’d recommend their professor continue using us, and would recommend us to other students. You will forget 80% of this presentation In 1885, Hans Ebbinghaus charted the rate of memory decay in a forgetting curve. Research on the forgetting curve shows you’ll forget 80% of this presentation after 30 days. Cerego rectifies this In contrast, you’ll remember 80% of what you reviewed for 30 days after 4 short micro study sessions with Cerego. Aligning study practice with learning science Distributed Practice: study is broken up into short sessions, and spaced out over time. Adaptive Practice: timing and content of study is tailored to individual user need. Retrieval Practice: learning is done through testing and real-world scenarios; activities proven to aid learning.* *We call our system DARPA, or “Distributed Adaptive Retrieval Practice Algorithm.” Distributed learning: the remedy for ‘cerebral necrosis’ There’s a term we use for information overload: “presentation induced cerebral necrosis.” This is also sometimes called “death by PowerPoint.” Learning dividends are greater when study is distributed over time (spacing effect). Shorter, focused ‘micro-sessions,’ are more effective than longer ones. In contrast, “cramming” does not work Cramming might work for a train in Japan, but it’s not going to work to train your brain. -
Teaching the Science of Learning
Cogn Res Princ Implic. 2018 Dec; 3: 2. PMCID: PMC5780548 Published online 2018 Jan 24. doi: 10.1186/s41235-017-0087-y PMID: 29399621 Teaching the science of learning Yana Weinstein, 1 Christopher R. Madan,2,3 and Megan A. Sumeracki4 1Department of Psychology, University of Massachusetts Lowell, Lowell, MA USA 2Department of Psychology, Boston College, Chestnut Hill, MA USA 3School of Psychology, University of Nottingham, Nottingham, UK 4Department of Psychology, Rhode Island College, Providence, RI USA Yana Weinstein, Email: [email protected]. Contributor Information. Corresponding author. Received 2016 Dec 20; Accepted 2017 Dec 2. Copyright © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Education does not currently adhere to the medical model of evidence-based practice (Roediger, 2013). -
First Name Initial Last Name
Jonathan Levi Morris. Free, Cost-efficient, and Worthwhile Solutions to Learning Japanese: a Survey of Established and Emerging Resources. A Master’s Paper for the M.S. in I.S degree. April, 2009. 59 pages. Advisor: Michael Van Fossen Recently, the increased availability of Creative Commons licensed Japanese reference sources, the increased popularity of mobile software, and the development of social language learning networks has given rise to a new class of free and cost efficient resources for learning Japanese. Although many are still in the early stages of development, a number of these have reached a level of high quality sufficient to rival even the expensive, in-place product leaders in language learning. Some of these new resources are even surpassing the genre's leaders in the features that they offer. This bibliography explores the resources currently available for learning the Japanese language in English and includes use-based evaluations on the products leaders in the field, innovative resources of high potential, and a number of lesser known resources also. Headings: Languages, Modern -- Study and teaching -- Bibliography. Language and languages -- Study and teaching -- Technological innovations -- Bibliography. Language and languages -- Computer-assisted instruction -- Bibliography. Japanese language -- Study and teaching -- English speakers -- Bibliography. FREE, COST-EFFICIENT, AND WORTHWHILE SOLUTIONS TO LEARNING JAPANESE: A SURVEY OF ESTABLISHED AND EMERGING RESOURCES by Jonathan Levi Morris A Master’s paper submitted to the faculty of the School of Information and Library Science of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Master of Science in Information Science. -
Downloading Speed and Lack of Subject Coverage
Teaching English in Multilingual Contexts Selections from the Fifth AINET International Conference, Hyderabad, 10-11 January 2020 Krishna Dixit Vivek Joshi Ravinarayan Chakrakodi Nadeem Khan Kuheli Mukherjee Milind Mane AINET Association of English Teachers www.theainet.net Teaching English in Multilingual Contexts Editors Krishna Dixit Vivek Joshi Ravinarayan Chakrakodi Nadeem Khan Kuheli Mukherjee Milind Mane © 2021 AINET ISBN 978-81-930684-1-0 Published by AINET Association of English Teachers The views expressed in the articles contained herein are the personal views of the respective authors and do not necessarily reflect the views of the editors or of AINET. The authors have confirmed that the articles are their original work. Foreword We are pleased to bring to you this collection of papers presented at the 5th AINET International Conference held on 10-11 January 2020 at Vasavi College of Engineering, Hyderabad (India). This is the third in the series of conference selections published by the AINET after English Language Education: Understanding Change (2015) and Exploring Learners and Learning of English (2016). Built around the theme of English in Multilingual Contexts, the conference attracted over 400 delegates and saw over 125 paper presentations and 30 workshops. The multilingual board placed at the conference venue, inviting delegates to mention their languages, showed the presence of 100+ languages – Indian and non-Indian – at the conference. The collection is noteworthy as it presents what occupies teachers’ minds and hearts – opportunities for innovation and change, constraints and challenges, and strategies to overcome them. One common theme across all papers is the concern for learners and their effective learning. -
Boletim CSP 7
Boletim Pedagógico - CSP (7ª Edição parte 4) Estabeleça um método de estudo! O uso adequado de um método de estudo é favorável à aprendizagem Imagem 1* Escrito por Coordenadoria Sociopedagógica em 30 de abril de 2020. Para ter um melhor desempenho durante os estudos, você pode adotar um método que te ajude a desenvolver seu aprendizado, auxiliando no foco e melhor compreensão dos conteúdos. Para isso, veja abaixo qual método pode servir como ferramenta na sua rotina de estudante em casa. DESTAQUE DO DIA Aprendendo sobre os métodos de estudo: Sistema de Repetição Espaçada Este método é interessante quando precisamos memorizar uma nova informação, mas estamos sempre esquecendo. Quando aprendemos algo novo e não colocamos em prática, com o tempo, teremos dificuldade de nos lembrar do que aprendemos (conforme a curva do esquecimento apresentado na Imagem 2). Isso é natural, é como se nosso cérebro estivesse sempre fazendo uma faxina com as informações que considera desnecessária, ou seja, ele apaga as informações que não colocamos em uso ou que nunca revemos. Imagem 2** Para memorizar uma informação nova, portanto, é necessário que ocorra uma repetição de seu estudo. O ideal é revisitarmos os conteúdos novos com maior frequência no início do aprendizado. Conforme o tempo passa, podemos diminuir a frequência de seu estudo. Esse método de memorização é chamado de Sistema de Repetição Espaçada (SRE). Desde a década de 1930, este sistema sofreu inúmeros incrementos, principalmente com as transformações tecnológicas difundidas, a partir da década de 1980. Com isto, foi possível implantar o SRE em programas que agendam e organizam uma rotina de repetição, fazendo-a no tempo adequado para sua memorização. -
Arxiv:1712.01856V2 [Stat.ML] 10 Mar 2018 with Provable Guarantees Have Been Largely Missing Until Very Recently [19, 22]
Optimizing Human Learning Behzad Tabibian1,2, Utkarsh Upadhyay1, Abir De1, Ali Zarezade3, Bernhard Schölkopf2, and Manuel Gomez-Rodriguez1 1MPI for Software Systems, [email protected], [email protected], [email protected] 2MPI for Intelligent Systems Systems, [email protected], [email protected] 3Sharif University, [email protected] Abstract Spaced repetition is a technique for efficient memorization which uses repeated, spaced review of content to improve long-term retention. Can we find the optimal reviewing schedule to maximize the benefits of spaced repetition? In this paper, we introduce a novel, flexible representation of spaced repetition using the framework of marked temporal point processes and then address the above question as an optimal control problem for stochastic differential equations with jumps. For two well-known human memory models, we show that the optimal reviewing schedule is given by the recall probability of the content to be learned. As a result, we can then develop a simple, scalable online algorithm, Memorize, to sample the optimal reviewing times. Experiments on both synthetic and real data gathered from Duolingo, a popular language-learning online platform, show that our algorithm may be able to help learners memorize more effectively than alternatives. 1 Introduction Our ability to remember a piece of information depends critically on the number of times we have reviewed it and the time elapsed since the last review, as first shown by a seminal study by Ebbinghaus [10]. The effect of these two factors have been extensively investigated in the experimental psychology literature [9, 16], particularly in second language acquisition research [2, 5, 7, 21]. -
Computer-Assisted Second Language Vocabulary Learning 1
COMPUTER-ASSISTED SECOND LANGUAGE VOCABULARY LEARNING 1 This is an electronic version of an article published in Computer Assisted Language Learning, 24(1), 17-38. Computer Assisted Language Learning is available online at: http://www.informaworld.com/smpp/content~db=all?content=10.1080/09588221.201 0.520675 COMPUTER-ASSISTED SECOND LANGUAGE VOCABULARY LEARNING 2 Computer-assisted second language vocabulary learning in a paired-associate paradigm: A critical investigation of flashcard software Tatsuya Nakata School of Linguistics and Applied Language Studies, Victoria University of Wellington, Wellington, New Zealand COMPUTER-ASSISTED SECOND LANGUAGE VOCABULARY LEARNING 3 The present study conducts a comprehensive investigation of flashcard software for learning vocabulary in a second or foreign language (L2). Flashcard programs are defined as software that encourages learners to study L2 vocabulary in a paired-associate format. In other words, in these programs, target items are presented outside meaning-focused tasks, and learners are asked to associate the L2 word form with its meaning, usually in the form of a first language (L1) translation, L2 synonym, or L2 definition. The present study is motivated by several pedagogical and practical concerns. First, although paired-associate learning, including learning from flashcards, tends to be dismissed as a relic of the old-fashioned behaviourist learning model (Hulstijn, 2001), empirical studies demonstrate that it is effective and efficient. Studies have shown that in a paired-associate learning task, large numbers of words can be memorised in a very short time (e.g., Fitzpatrick, Al-Qarni, & Meara, 2008; Nation, 1980; Thorndike, 1908). Vocabulary learned in a paired-associate format is also resistant to decay (Fitzpatrick et al., 2008; Thorndike, 1908) and can be retained over several years (H.