Trends in Moodle Learning Analytics: a Systematic Review

Detalhes bibliográficos
Autor(a) principal: Porto, Bruno
Data de Publicação: 2023
Outros Autores: Dias, Dainer Marçal, Battestin, Vanessa
Tipo de documento: Artigo
Idioma: por
Título da fonte: EAD em Foco
Texto Completo: https://eademfoco.cecierj.edu.br/index.php/Revista/article/view/2070
Resumo: Learning Analytics is the field of study that uses analytical methods and information technology to collect, analyze and interpret data related to the learning process. The relationship between Learning Analytics and Moodle is quite significant. Through Moodle, it is possible to collect a large amount of data about student engagement, performance, interactions, and other relevant aspects. Therefore, this paper presents the results of a Systematic Literature Review (SLR), which analyzed 24 articles selected from Abed, IEEE, SBC, ScienceDirect, SCOPUS and SpringerLink databases. The results showed that dropout analysis, performance, personalization, self-regulation and course completion are the main areas of research, highlighting the frequent use of data in Moodle for pattern discovery and predictions. Highlighting the potential to improve academic performance, reduce dropout, personalize instruction, improve interaction and increase student engagement.   Keywords: Learning Analytics.  Moodle.  Systematic Review.
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spelling Trends in Moodle Learning Analytics: a Systematic ReviewTendências de Learning Analytics em Moodle: uma Revisão SistemáticaLearning AnalyticsMoodleAnálise de dadosLearning Analytics is the field of study that uses analytical methods and information technology to collect, analyze and interpret data related to the learning process. The relationship between Learning Analytics and Moodle is quite significant. Through Moodle, it is possible to collect a large amount of data about student engagement, performance, interactions, and other relevant aspects. Therefore, this paper presents the results of a Systematic Literature Review (SLR), which analyzed 24 articles selected from Abed, IEEE, SBC, ScienceDirect, SCOPUS and SpringerLink databases. The results showed that dropout analysis, performance, personalization, self-regulation and course completion are the main areas of research, highlighting the frequent use of data in Moodle for pattern discovery and predictions. Highlighting the potential to improve academic performance, reduce dropout, personalize instruction, improve interaction and increase student engagement.   Keywords: Learning Analytics.  Moodle.  Systematic Review.O Learning Analytics é o campo de estudo que utiliza métodos analíticos e tecnologias da informação para coletar, analisar e interpretar dados relacionados ao processo de aprendizagem. A relação entre Learning Analytics e Moodle é bastante significativa. Através do Moodle, é possível coletar uma grande quantidade de dados sobre o envolvimento dos alunos, seu desempenho, interações, entre outros aspectos relevantes. Diante disso, este trabalho apresenta os resultados da Revisão Sistemática da Literatura (SLR), que analisou 24 estudos selecionados nas bases da Abed, IEEE, SBC, ScienceDirect, SCOPUS e SpringerLink. Os resultados mostraram que análise de evasão, desempenho, personalização, autorregulação e conclusão de curso são as principais áreas de pesquisa, evidenciando o uso frequente de dados no Moodle para descoberta de padrões e predições. Destacando-se o potencial para melhorar o rendimento acadêmico, reduzir a evasão escolar, personalizar o ensino, aprimorar a interação e aumentar o engajamento dos alunos.   Palavras-chave: Learning analytics.  Moodle.  Revisão sistemática.Fundação Cecierj2023-11-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://eademfoco.cecierj.edu.br/index.php/Revista/article/view/207010.18264/eadf.v13i1.2070EaD em Foco; Vol. 13 No. 1 (2023); e2070EaD em Foco; Vol. 13 Núm. 1 (2023); e2070EaD em Foco; v. 13 n. 1 (2023); e20702177-8310reponame:EAD em Focoinstname:Fundação Centro de Ciências e Educação Superior a Distância do Estado do Rio de Janeiro (CECIERJ)instacron:CECIERJporhttps://eademfoco.cecierj.edu.br/index.php/Revista/article/view/2070/874Copyright (c) 2023 EaD em Focohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPorto, Bruno Dias, Dainer MarçalBattestin, Vanessa2024-02-20T16:57:43Zoai:ojs.eademfoco.cecierj.edu.br:article/2070Revistahttps://eademfoco.cecierj.edu.br/index.php/RevistaONGhttp://eademfoco.cecierj.edu.br/index.php/Revista/oai||eademfoco@cecierj.edu.br2177-83102177-8310opendoar:2024-02-20T16:57:43EAD em Foco - Fundação Centro de Ciências e Educação Superior a Distância do Estado do Rio de Janeiro (CECIERJ)false
dc.title.none.fl_str_mv Trends in Moodle Learning Analytics: a Systematic Review
Tendências de Learning Analytics em Moodle: uma Revisão Sistemática
title Trends in Moodle Learning Analytics: a Systematic Review
spellingShingle Trends in Moodle Learning Analytics: a Systematic Review
Porto, Bruno
Learning Analytics
Moodle
Análise de dados
title_short Trends in Moodle Learning Analytics: a Systematic Review
title_full Trends in Moodle Learning Analytics: a Systematic Review
title_fullStr Trends in Moodle Learning Analytics: a Systematic Review
title_full_unstemmed Trends in Moodle Learning Analytics: a Systematic Review
title_sort Trends in Moodle Learning Analytics: a Systematic Review
author Porto, Bruno
author_facet Porto, Bruno
Dias, Dainer Marçal
Battestin, Vanessa
author_role author
author2 Dias, Dainer Marçal
Battestin, Vanessa
author2_role author
author
dc.contributor.author.fl_str_mv Porto, Bruno
Dias, Dainer Marçal
Battestin, Vanessa
dc.subject.por.fl_str_mv Learning Analytics
Moodle
Análise de dados
topic Learning Analytics
Moodle
Análise de dados
description Learning Analytics is the field of study that uses analytical methods and information technology to collect, analyze and interpret data related to the learning process. The relationship between Learning Analytics and Moodle is quite significant. Through Moodle, it is possible to collect a large amount of data about student engagement, performance, interactions, and other relevant aspects. Therefore, this paper presents the results of a Systematic Literature Review (SLR), which analyzed 24 articles selected from Abed, IEEE, SBC, ScienceDirect, SCOPUS and SpringerLink databases. The results showed that dropout analysis, performance, personalization, self-regulation and course completion are the main areas of research, highlighting the frequent use of data in Moodle for pattern discovery and predictions. Highlighting the potential to improve academic performance, reduce dropout, personalize instruction, improve interaction and increase student engagement.   Keywords: Learning Analytics.  Moodle.  Systematic Review.
publishDate 2023
dc.date.none.fl_str_mv 2023-11-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://eademfoco.cecierj.edu.br/index.php/Revista/article/view/2070
10.18264/eadf.v13i1.2070
url https://eademfoco.cecierj.edu.br/index.php/Revista/article/view/2070
identifier_str_mv 10.18264/eadf.v13i1.2070
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://eademfoco.cecierj.edu.br/index.php/Revista/article/view/2070/874
dc.rights.driver.fl_str_mv Copyright (c) 2023 EaD em Foco
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 EaD em Foco
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Fundação Cecierj
publisher.none.fl_str_mv Fundação Cecierj
dc.source.none.fl_str_mv EaD em Foco; Vol. 13 No. 1 (2023); e2070
EaD em Foco; Vol. 13 Núm. 1 (2023); e2070
EaD em Foco; v. 13 n. 1 (2023); e2070
2177-8310
reponame:EAD em Foco
instname:Fundação Centro de Ciências e Educação Superior a Distância do Estado do Rio de Janeiro (CECIERJ)
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repository.name.fl_str_mv EAD em Foco - Fundação Centro de Ciências e Educação Superior a Distância do Estado do Rio de Janeiro (CECIERJ)
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