Usability Analysis of an Educational Data Mining Framework

Detalhes bibliográficos
Autor(a) principal: Pena Mendes, Vitória Maria
Data de Publicação: 2021
Outros Autores: Silva, Raniel Gomes, Maciel, Alexandre Magno Andrade
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/1685
Resumo: This paper presents a usability analysis of an educational data mining framework called FMDEV. The overall goal is to understand how this framework can provide a better usability to users that do not have a prior knowledge of Data science. Through a heuristic evaluation, usability problems were revealed, and usability tests confirmed these problems were affecting the user’s journey while interacting with the system. The results of this analysis indicates that it is possible to achieve an approximation between data mining tools and non-technical professionals when their behavior as real users are taken into account in the system development process.
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spelling Usability Analysis of an Educational Data Mining FrameworkUsability Analysis of an Educational Data Mining FrameworkThis paper presents a usability analysis of an educational data mining framework called FMDEV. The overall goal is to understand how this framework can provide a better usability to users that do not have a prior knowledge of Data science. Through a heuristic evaluation, usability problems were revealed, and usability tests confirmed these problems were affecting the user’s journey while interacting with the system. The results of this analysis indicates that it is possible to achieve an approximation between data mining tools and non-technical professionals when their behavior as real users are taken into account in the system development process.Este artigo apresenta uma análise de usabilidade de um framework de mineração de dados educacionais chamado FMDEV. O objetivo geral é entender como este framework pode fornecer uma melhor usabilidade para usuários que não possuem um conhecimento prévio de Ciência de Dados. Por meio de uma avaliação heurística, problemas de usabilidade foram revelados e testes de usabilidade confirmaram que esses problemas estavam afetando a jornada do usuário ao interagir com o sistema. Os resultados desta análise indicam que é possível alcançar uma aproximação entre ferramentas de mineração de dados e profissionais não técnicos quando seu comportamento como usuários reais é levado em consideração no processo de desenvolvimento do sistema.Escola Politécnica de Pernambuco2021-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://revistas.poli.br/index.php/repa/article/view/168510.25286/repa.v6i3.1685Journal of Engineering and Applied Research; Vol 6 No 3 (2021): Edição Especial em Ciência de Dados e Analytics; 31-38Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 3 (2021): Edição Especial em Ciência de Dados e Analytics; 31-382525-425110.25286/repa.v6i3reponame:Revista de Engenharia e Pesquisa Aplicadainstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEporhttp://revistas.poli.br/index.php/repa/article/view/1685/732http://revistas.poli.br/index.php/repa/article/view/1685/733-Copyright (c) 2021 Vitória Maria Pena Mendes, Raniel Gomes Silva, Alexandre Magno Andrade Macielhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessPena Mendes, Vitória MariaSilva, Raniel GomesMaciel, Alexandre Magno Andrade2021-07-13T08:40:29Zoai:ojs.poli.br:article/1685Revistahttp://revistas.poli.br/index.php/repaONGhttp://revistas.poli.br/index.php/repa/oai||repa@poli.br2525-42512525-4251opendoar:2021-07-13T08:40:29Revista de Engenharia e Pesquisa Aplicada - Universidade Federal de Pernambuco (UFPE)false
dc.title.none.fl_str_mv Usability Analysis of an Educational Data Mining Framework
Usability Analysis of an Educational Data Mining Framework
title Usability Analysis of an Educational Data Mining Framework
spellingShingle Usability Analysis of an Educational Data Mining Framework
Pena Mendes, Vitória Maria
title_short Usability Analysis of an Educational Data Mining Framework
title_full Usability Analysis of an Educational Data Mining Framework
title_fullStr Usability Analysis of an Educational Data Mining Framework
title_full_unstemmed Usability Analysis of an Educational Data Mining Framework
title_sort Usability Analysis of an Educational Data Mining Framework
author Pena Mendes, Vitória Maria
author_facet Pena Mendes, Vitória Maria
Silva, Raniel Gomes
Maciel, Alexandre Magno Andrade
author_role author
author2 Silva, Raniel Gomes
Maciel, Alexandre Magno Andrade
author2_role author
author
dc.contributor.author.fl_str_mv Pena Mendes, Vitória Maria
Silva, Raniel Gomes
Maciel, Alexandre Magno Andrade
description This paper presents a usability analysis of an educational data mining framework called FMDEV. The overall goal is to understand how this framework can provide a better usability to users that do not have a prior knowledge of Data science. Through a heuristic evaluation, usability problems were revealed, and usability tests confirmed these problems were affecting the user’s journey while interacting with the system. The results of this analysis indicates that it is possible to achieve an approximation between data mining tools and non-technical professionals when their behavior as real users are taken into account in the system development process.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-01
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/1685
10.25286/repa.v6i3.1685
url http://revistas.poli.br/index.php/repa/article/view/1685
identifier_str_mv 10.25286/repa.v6i3.1685
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://revistas.poli.br/index.php/repa/article/view/1685/732
http://revistas.poli.br/index.php/repa/article/view/1685/733
dc.rights.driver.fl_str_mv Copyright (c) 2021 Vitória Maria Pena Mendes, Raniel Gomes Silva, Alexandre Magno Andrade Maciel
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Vitória Maria Pena Mendes, Raniel Gomes Silva, Alexandre Magno Andrade Maciel
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; 31-38
Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 3 (2021): Edição Especial em Ciência de Dados e Analytics; 31-38
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)
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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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