Development of a Learning Analytics Dashboard from Educational Data Mining Models
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista de Engenharia e Pesquisa Aplicada |
Texto Completo: | http://revistas.poli.br/index.php/repa/article/view/1688 |
Resumo: | This work proposes a development of Learning Analytics Dashboard for data analysis from the results of educational data mining, through the prediction of student performance. Thus, the general objective of this work is to create a visualization mechanism that aims to allow teachers to identify students whose predicted performance is unsatisfactory, providing information regarding the trajectory of students in the course and hence enabling the teacher to a pedagogical and motivational intervention. During the architecture development process, four stages were considered: awareness, where the focus is on visualizing data in different ways; reflection, whose objective is to assess the relevance of the data present in the visualizations, through questions asked to the teachers; sensemaking, which concerns the analysis and reflection of the answers given to the questions asked, creating new insights; impact, the final goal, which can produce changes in the course’s conduction by teachers, if they deem it necessary. Thereby, a tool was developed whose objective is to present student performance predictions in a friendly way for teachers, in order to contribute to the teaching-learning process and empower the interaction between students, teachers and resources in learning management systems. |
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Development of a Learning Analytics Dashboard from Educational Data Mining ModelsDesenvolvimento de um Learning Analytics Dashboard a partir de Modelos de Mineração de Dados EducacionaisThis work proposes a development of Learning Analytics Dashboard for data analysis from the results of educational data mining, through the prediction of student performance. Thus, the general objective of this work is to create a visualization mechanism that aims to allow teachers to identify students whose predicted performance is unsatisfactory, providing information regarding the trajectory of students in the course and hence enabling the teacher to a pedagogical and motivational intervention. During the architecture development process, four stages were considered: awareness, where the focus is on visualizing data in different ways; reflection, whose objective is to assess the relevance of the data present in the visualizations, through questions asked to the teachers; sensemaking, which concerns the analysis and reflection of the answers given to the questions asked, creating new insights; impact, the final goal, which can produce changes in the course’s conduction by teachers, if they deem it necessary. Thereby, a tool was developed whose objective is to present student performance predictions in a friendly way for teachers, in order to contribute to the teaching-learning process and empower the interaction between students, teachers and resources in learning management systems. Este trabalho propõe o desenvolvimento de um Learning Analytics Dashboard para análise de dados a partir dos resultados de mineração de dados educacionais, através da predição do desempenho de alunos. Assim, o objetivo geral deste trabalho é a criação de um mecanismo de visualização que pretende permitir aos professores identificar os alunos dos quais o desempenho predito é não satisfatório, fornecendo informações relativas à trajetória dos alunos no curso e assim possibilitando ao professor a intervenção pedagógica e motivacional. Durante o processo de desenvolvimento da arquitetura, três estágios foram considerados: consciência, onde o foco é a visualização dos dados de diferentes formas; reflexão, cujo objetivo é avaliar a relevância dos dados presentes nas visualizações, por meio de questões feitas pelos próprios professores; sensemaking, que diz respeito à análise e reflexão das respostas dadas às perguntas feitas, gerando novos insights. Com isso, foi desenvolvida uma ferramenta cujo objetivo é apresentar predições de desempenho de alunos de uma forma amigável para os professores, de modo a contribuir com o processo de ensino-aprendizagem e potencializar a interação entre alunos, professores e recursos em ambientes virtuais de aprendizagem. Escola Politécnica de Pernambuco2021-04-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://revistas.poli.br/index.php/repa/article/view/168810.25286/repa.v6i3.1688Journal of Engineering and Applied Research; Vol 6 No 3 (2021): Edição Especial em Ciência de Dados e Analytics; 59-69Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 3 (2021): Edição Especial em Ciência de Dados e Analytics; 59-692525-425110.25286/repa.v6i3reponame:Revista de Engenharia e Pesquisa Aplicadainstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEporhttp://revistas.poli.br/index.php/repa/article/view/1688/738http://revistas.poli.br/index.php/repa/article/view/1688/739-Copyright (c) 2021 Gabriel Lenon Barros Silva, Janaína Alexandre de Carvalho, Alexandre Magno Andrade Macielhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Gabriel Lenon BarrosCarvalho, Janaína Alexandre deMaciel, Alexandre Magno Andrade2021-07-13T08:40:27Zoai:ojs.poli.br:article/1688Revistahttp://revistas.poli.br/index.php/repaONGhttp://revistas.poli.br/index.php/repa/oai||repa@poli.br2525-42512525-4251opendoar:2021-07-13T08:40:27Revista de Engenharia e Pesquisa Aplicada - Universidade Federal de Pernambuco (UFPE)false |
dc.title.none.fl_str_mv |
Development of a Learning Analytics Dashboard from Educational Data Mining Models Desenvolvimento de um Learning Analytics Dashboard a partir de Modelos de Mineração de Dados Educacionais |
title |
Development of a Learning Analytics Dashboard from Educational Data Mining Models |
spellingShingle |
Development of a Learning Analytics Dashboard from Educational Data Mining Models Silva, Gabriel Lenon Barros |
title_short |
Development of a Learning Analytics Dashboard from Educational Data Mining Models |
title_full |
Development of a Learning Analytics Dashboard from Educational Data Mining Models |
title_fullStr |
Development of a Learning Analytics Dashboard from Educational Data Mining Models |
title_full_unstemmed |
Development of a Learning Analytics Dashboard from Educational Data Mining Models |
title_sort |
Development of a Learning Analytics Dashboard from Educational Data Mining Models |
author |
Silva, Gabriel Lenon Barros |
author_facet |
Silva, Gabriel Lenon Barros Carvalho, Janaína Alexandre de Maciel, Alexandre Magno Andrade |
author_role |
author |
author2 |
Carvalho, Janaína Alexandre de Maciel, Alexandre Magno Andrade |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Gabriel Lenon Barros Carvalho, Janaína Alexandre de Maciel, Alexandre Magno Andrade |
description |
This work proposes a development of Learning Analytics Dashboard for data analysis from the results of educational data mining, through the prediction of student performance. Thus, the general objective of this work is to create a visualization mechanism that aims to allow teachers to identify students whose predicted performance is unsatisfactory, providing information regarding the trajectory of students in the course and hence enabling the teacher to a pedagogical and motivational intervention. During the architecture development process, four stages were considered: awareness, where the focus is on visualizing data in different ways; reflection, whose objective is to assess the relevance of the data present in the visualizations, through questions asked to the teachers; sensemaking, which concerns the analysis and reflection of the answers given to the questions asked, creating new insights; impact, the final goal, which can produce changes in the course’s conduction by teachers, if they deem it necessary. Thereby, a tool was developed whose objective is to present student performance predictions in a friendly way for teachers, in order to contribute to the teaching-learning process and empower the interaction between students, teachers and resources in learning management systems. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-02 |
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 |
http://revistas.poli.br/index.php/repa/article/view/1688 10.25286/repa.v6i3.1688 |
url |
http://revistas.poli.br/index.php/repa/article/view/1688 |
identifier_str_mv |
10.25286/repa.v6i3.1688 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://revistas.poli.br/index.php/repa/article/view/1688/738 http://revistas.poli.br/index.php/repa/article/view/1688/739 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.coverage.none.fl_str_mv |
- |
dc.publisher.none.fl_str_mv |
Escola Politécnica de Pernambuco |
publisher.none.fl_str_mv |
Escola Politécnica de Pernambuco |
dc.source.none.fl_str_mv |
Journal of Engineering and Applied Research; Vol 6 No 3 (2021): Edição Especial em Ciência de Dados e Analytics; 59-69 Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 3 (2021): Edição Especial em Ciência de Dados e Analytics; 59-69 2525-4251 10.25286/repa.v6i3 reponame:Revista de Engenharia e Pesquisa Aplicada instname:Universidade Federal de Pernambuco (UFPE) instacron:UFPE |
instname_str |
Universidade Federal de Pernambuco (UFPE) |
instacron_str |
UFPE |
institution |
UFPE |
reponame_str |
Revista de Engenharia e Pesquisa Aplicada |
collection |
Revista de Engenharia e Pesquisa Aplicada |
repository.name.fl_str_mv |
Revista de Engenharia e Pesquisa Aplicada - Universidade Federal de Pernambuco (UFPE) |
repository.mail.fl_str_mv |
||repa@poli.br |
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