Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application

Information and communication technology (ICT) becomes more prevalent in education but its general efficacy and that of specific learning applications are not fully established yet. One way to further improve learning applications could be to use insights from fundamental memory research. We here as...

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Autores principales: Angelo Belardi, Salome Pedrett, Nicolas Rothen, Thomas P. Reber
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:15beb3a5d61949449d94dca1383023c32021-11-18T16:02:40ZSpacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application1664-107810.3389/fpsyg.2021.757262https://doaj.org/article/15beb3a5d61949449d94dca1383023c32021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyg.2021.757262/fullhttps://doaj.org/toc/1664-1078Information and communication technology (ICT) becomes more prevalent in education but its general efficacy and that of specific learning applications are not fully established yet. One way to further improve learning applications could be to use insights from fundamental memory research. We here assess whether four established learning principles (spacing, corrective feedback, testing, and multimodality) can be translated into an applied ICT context to facilitate vocabulary learning in a self-developed web application. Effects on the amount of newly learned vocabulary were assessed in a mixed factorial design (3×2×2×2) with the independent variables Spacing (between-subjects; one, two, or four sessions), Feedback (within-subjects; with or without), Testing (within-subjects, 70 or 30% retrieval trials), and Multimodality (within-subjects; unimodal or multimodal). Data from 79 participants revealed significant main effects for Spacing [F(2,76) = 8.51, p = 0.0005, ηp2=0.18] and Feedback [F(1,76) = 21.38, p < 0.0001, ηp2=0.22], and a significant interaction between Feedback and Testing [F(1,76) = 14.12, p = 0.0003, ηp2=0.16]. Optimal Spacing and the presence of corrective Feedback in combination with Testing together boost learning by 29% as compared to non-optimal realizations (massed learning, testing with the lack of corrective feedback). Our findings indicate that established learning principles derived from basic memory research can successfully be implemented in web applications to optimize vocabulary learning.Angelo BelardiSalome PedrettNicolas RothenThomas P. ReberThomas P. ReberFrontiers Media S.A.articledistance educationdistance learningonline learningweb applicationmemorylanguage learningPsychologyBF1-990ENFrontiers in Psychology, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic distance education
distance learning
online learning
web application
memory
language learning
Psychology
BF1-990
spellingShingle distance education
distance learning
online learning
web application
memory
language learning
Psychology
BF1-990
Angelo Belardi
Salome Pedrett
Nicolas Rothen
Thomas P. Reber
Thomas P. Reber
Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application
description Information and communication technology (ICT) becomes more prevalent in education but its general efficacy and that of specific learning applications are not fully established yet. One way to further improve learning applications could be to use insights from fundamental memory research. We here assess whether four established learning principles (spacing, corrective feedback, testing, and multimodality) can be translated into an applied ICT context to facilitate vocabulary learning in a self-developed web application. Effects on the amount of newly learned vocabulary were assessed in a mixed factorial design (3×2×2×2) with the independent variables Spacing (between-subjects; one, two, or four sessions), Feedback (within-subjects; with or without), Testing (within-subjects, 70 or 30% retrieval trials), and Multimodality (within-subjects; unimodal or multimodal). Data from 79 participants revealed significant main effects for Spacing [F(2,76) = 8.51, p = 0.0005, ηp2=0.18] and Feedback [F(1,76) = 21.38, p < 0.0001, ηp2=0.22], and a significant interaction between Feedback and Testing [F(1,76) = 14.12, p = 0.0003, ηp2=0.16]. Optimal Spacing and the presence of corrective Feedback in combination with Testing together boost learning by 29% as compared to non-optimal realizations (massed learning, testing with the lack of corrective feedback). Our findings indicate that established learning principles derived from basic memory research can successfully be implemented in web applications to optimize vocabulary learning.
format article
author Angelo Belardi
Salome Pedrett
Nicolas Rothen
Thomas P. Reber
Thomas P. Reber
author_facet Angelo Belardi
Salome Pedrett
Nicolas Rothen
Thomas P. Reber
Thomas P. Reber
author_sort Angelo Belardi
title Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application
title_short Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application
title_full Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application
title_fullStr Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application
title_full_unstemmed Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application
title_sort spacing, feedback, and testing boost vocabulary learning in a web application
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/15beb3a5d61949449d94dca1383023c3
work_keys_str_mv AT angelobelardi spacingfeedbackandtestingboostvocabularylearninginawebapplication
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AT thomaspreber spacingfeedbackandtestingboostvocabularylearninginawebapplication
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