A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem

Detalhes bibliográficos
Autor(a) principal: Sousa, Leandro Rondado de [UNESP]
Data de Publicação: 2021
Outros Autores: Carvalho, Veronica Oliveira de [UNESP], Penteado, Bruno Elias, Affonso, Frank Jose [UNESP], Csapo, B., Uhomoibhi, J.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5220/0010476300360047
http://hdl.handle.net/11449/218997
Resumo: Dropout is a critical problem that affects institutions worldwide. Data mining is an analytical solution that has been used to deal with it. Typically, data mining follows a structured process containing the following general steps: data collection, pre-processing, pattern extraction, post-processing (validation). Until know, it is not known how data mining has been used to address the dropout problem in face-to-face education considering all steps of the process. For that, a Systematic Literature Mapping was conducted to identify and analyze the primary studies available in the literature to address some research questions. The aim was to provide an overview of the aspects related to data mining steps in the presented context, without going into details about specific techniques, but about the solutions themselves (for example, imbalanced techniques, instead of SMOTE). 118 papers were selected considering a period of 10 years (01/01/2010 to 31/12/2020).
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spelling A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout ProblemSchool DropoutFace-to-FaceData MiningSystematic MappingDropout is a critical problem that affects institutions worldwide. Data mining is an analytical solution that has been used to deal with it. Typically, data mining follows a structured process containing the following general steps: data collection, pre-processing, pattern extraction, post-processing (validation). Until know, it is not known how data mining has been used to address the dropout problem in face-to-face education considering all steps of the process. For that, a Systematic Literature Mapping was conducted to identify and analyze the primary studies available in the literature to address some research questions. The aim was to provide an overview of the aspects related to data mining steps in the presented context, without going into details about specific techniques, but about the solutions themselves (for example, imbalanced techniques, instead of SMOTE). 118 papers were selected considering a period of 10 years (01/01/2010 to 31/12/2020).Univ Estadual Paulista Unesp, Inst Geociencias & Ciencias Exatas, Rio Claro, BrazilUniv Sao Paulo, Inst Ciencias Matemat & Comp, Sao Carlos, BrazilUniv Estadual Paulista Unesp, Inst Geociencias & Ciencias Exatas, Rio Claro, BrazilScitepressUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Sousa, Leandro Rondado de [UNESP]Carvalho, Veronica Oliveira de [UNESP]Penteado, Bruno EliasAffonso, Frank Jose [UNESP]Csapo, B.Uhomoibhi, J.2022-04-28T18:46:00Z2022-04-28T18:46:00Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject36-47http://dx.doi.org/10.5220/0010476300360047Csedu: Proceedings Of The 13th International Conference On Computer Supported Education - Vol 1. Setubal: Scitepress, p. 36-47, 2021.http://hdl.handle.net/11449/21899710.5220/0010476300360047WOS:000775741100003Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCsedu: Proceedings Of The 13th International Conference On Computer Supported Education - Vol 1info:eu-repo/semantics/openAccess2022-04-28T18:46:00Zoai:repositorio.unesp.br:11449/218997Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:42:25.894120Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
title A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
spellingShingle A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
Sousa, Leandro Rondado de [UNESP]
School Dropout
Face-to-Face
Data Mining
Systematic Mapping
title_short A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
title_full A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
title_fullStr A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
title_full_unstemmed A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
title_sort A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
author Sousa, Leandro Rondado de [UNESP]
author_facet Sousa, Leandro Rondado de [UNESP]
Carvalho, Veronica Oliveira de [UNESP]
Penteado, Bruno Elias
Affonso, Frank Jose [UNESP]
Csapo, B.
Uhomoibhi, J.
author_role author
author2 Carvalho, Veronica Oliveira de [UNESP]
Penteado, Bruno Elias
Affonso, Frank Jose [UNESP]
Csapo, B.
Uhomoibhi, J.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Sousa, Leandro Rondado de [UNESP]
Carvalho, Veronica Oliveira de [UNESP]
Penteado, Bruno Elias
Affonso, Frank Jose [UNESP]
Csapo, B.
Uhomoibhi, J.
dc.subject.por.fl_str_mv School Dropout
Face-to-Face
Data Mining
Systematic Mapping
topic School Dropout
Face-to-Face
Data Mining
Systematic Mapping
description Dropout is a critical problem that affects institutions worldwide. Data mining is an analytical solution that has been used to deal with it. Typically, data mining follows a structured process containing the following general steps: data collection, pre-processing, pattern extraction, post-processing (validation). Until know, it is not known how data mining has been used to address the dropout problem in face-to-face education considering all steps of the process. For that, a Systematic Literature Mapping was conducted to identify and analyze the primary studies available in the literature to address some research questions. The aim was to provide an overview of the aspects related to data mining steps in the presented context, without going into details about specific techniques, but about the solutions themselves (for example, imbalanced techniques, instead of SMOTE). 118 papers were selected considering a period of 10 years (01/01/2010 to 31/12/2020).
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-28T18:46:00Z
2022-04-28T18:46:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5220/0010476300360047
Csedu: Proceedings Of The 13th International Conference On Computer Supported Education - Vol 1. Setubal: Scitepress, p. 36-47, 2021.
http://hdl.handle.net/11449/218997
10.5220/0010476300360047
WOS:000775741100003
url http://dx.doi.org/10.5220/0010476300360047
http://hdl.handle.net/11449/218997
identifier_str_mv Csedu: Proceedings Of The 13th International Conference On Computer Supported Education - Vol 1. Setubal: Scitepress, p. 36-47, 2021.
10.5220/0010476300360047
WOS:000775741100003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Csedu: Proceedings Of The 13th International Conference On Computer Supported Education - Vol 1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 36-47
dc.publisher.none.fl_str_mv Scitepress
publisher.none.fl_str_mv Scitepress
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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