Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)

Detalhes bibliográficos
Autor(a) principal: Souza, Napoliana Silva de
Data de Publicação: 2020
Outros Autores: Perry, Gabriela Trindade
Tipo de documento: Artigo
Idioma: por
Título da fonte: EAD em Foco
Texto Completo: https://eademfoco.cecierj.edu.br/index.php/Revista/article/view/1070
Resumo: Students have different goals, preferences and interaction actions, and in MOOCs, the navigational behavior can be useful for making discoveries related to learning. In this context, this paper reports a research carried out with the purpose of detecting the navigation sequences of 906 students enrolled in a MOOC with content related to the discipline of Chemistry, and identify the most accessed educational materials. We employ educational data mining techniques, using the Apriori algorithm. The results showed 18 frequent sequences, and indicated that the contents of the first module of the course received more access. Keywords: MOOC. Data mining. Sequential patterns.
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spelling Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)Uso de Técnicas de Mineração de Dados na Extração de Sequências de Navegação de Estudantes de um Massive Open Online Course (MOOC)Students have different goals, preferences and interaction actions, and in MOOCs, the navigational behavior can be useful for making discoveries related to learning. In this context, this paper reports a research carried out with the purpose of detecting the navigation sequences of 906 students enrolled in a MOOC with content related to the discipline of Chemistry, and identify the most accessed educational materials. We employ educational data mining techniques, using the Apriori algorithm. The results showed 18 frequent sequences, and indicated that the contents of the first module of the course received more access. Keywords: MOOC. Data mining. Sequential patterns.Estudantes têm objetivos, preferências e ações de interação que se diferenciam, e em MOOCs o comportamento navegacional pode ser útil para fazer descobertas sobre a aprendizagem. Nesse contexto, esse artigo relata uma pesquisa realizada com os propósitos de detectar as sequências de navegação de 906 estudantes de um MOOC com conteúdos ligados a disciplina de Química, e identificar os materiais educacionais mais acessados. Técnicas de mineração de dados educacionais foram empregadas, com aplicação do algoritmo Apriori. Os resultados mostraram 18 sequências frequentes, e indicaram que os conteúdos do primeiro módulo do curso receberam mais acessos. Palavras-chave: MOOC. Mineração de dados. Padrões sequenciais.Fundação Cecierj2020-08-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://eademfoco.cecierj.edu.br/index.php/Revista/article/view/107010.18264/eadf.v10i2.1070EaD em Foco; Vol. 10 No. 2 (2020)EaD em Foco; Vol. 10 Núm. 2 (2020)EaD em Foco; v. 10 n. 2 (2020)2177-8310reponame: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/1070/566TextoCopyright (c) 2020 EaD em Focoinfo:eu-repo/semantics/openAccess Souza, Napoliana Silva de Perry, Gabriela Trindade2020-08-06T18:46:36ZRevistahttps://eademfoco.cecierj.edu.br/index.php/RevistaONG
dc.title.none.fl_str_mv Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
Uso de Técnicas de Mineração de Dados na Extração de Sequências de Navegação de Estudantes de um Massive Open Online Course (MOOC)
title Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
spellingShingle Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
Souza, Napoliana Silva de
title_short Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
title_full Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
title_fullStr Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
title_full_unstemmed Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
title_sort Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
author Souza, Napoliana Silva de
author_facet Souza, Napoliana Silva de
Perry, Gabriela Trindade
author_role author
author2 Perry, Gabriela Trindade
author2_role author
dc.contributor.author.fl_str_mv Souza, Napoliana Silva de
Perry, Gabriela Trindade
description Students have different goals, preferences and interaction actions, and in MOOCs, the navigational behavior can be useful for making discoveries related to learning. In this context, this paper reports a research carried out with the purpose of detecting the navigation sequences of 906 students enrolled in a MOOC with content related to the discipline of Chemistry, and identify the most accessed educational materials. We employ educational data mining techniques, using the Apriori algorithm. The results showed 18 frequent sequences, and indicated that the contents of the first module of the course received more access. Keywords: MOOC. Data mining. Sequential patterns.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-28
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/1070
10.18264/eadf.v10i2.1070
url https://eademfoco.cecierj.edu.br/index.php/Revista/article/view/1070
identifier_str_mv 10.18264/eadf.v10i2.1070
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/1070/566
dc.rights.driver.fl_str_mv Copyright (c) 2020 EaD em Foco
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 EaD em Foco
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Texto
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. 10 No. 2 (2020)
EaD em Foco; Vol. 10 Núm. 2 (2020)
EaD em Foco; v. 10 n. 2 (2020)
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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instname_str Fundação Centro de Ciências e Educação Superior a Distância do Estado do Rio de Janeiro (CECIERJ)
instacron_str CECIERJ
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