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

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dc.contributor.authorRondado de Sousa, Leandro [UNESP]
dc.contributor.authorOliveira de Carvalho, Veronica [UNESP]
dc.contributor.authorPenteado, Bruno Elias
dc.contributor.authorAffonso, Frank José [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2023-07-29T14:03:24Z
dc.date.available2023-07-29T14:03:24Z
dc.date.issued2021-01-01
dc.description.abstractDropout 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).en
dc.description.affiliationUniversidade Estadual Paulista (Unesp) Instituto de Geociências e Ciências Exatas
dc.description.affiliationUniversidade de São Paulo (USP) Instituto de Ciências Matemáticas e de Computação
dc.description.affiliationUnespUniversidade Estadual Paulista (Unesp) Instituto de Geociências e Ciências Exatas
dc.format.extent36-47
dc.identifier.citationInternational Conference on Computer Supported Education, CSEDU - Proceedings, v. 1, p. 36-47.
dc.identifier.issn2184-5026
dc.identifier.scopus2-s2.0-85136986651
dc.identifier.urihttp://hdl.handle.net/11449/249134
dc.language.isoeng
dc.relation.ispartofInternational Conference on Computer Supported Education, CSEDU - Proceedings
dc.sourceScopus
dc.subjectData Mining
dc.subjectFace-to-Face
dc.subjectSchool Dropout
dc.subjectSystematic Mapping
dc.titleA Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problemen
dc.typeTrabalho apresentado em evento
unesp.author.orcid0000-0003-1741-1618[2]

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Artigos - Estatistica, Matemática Aplicada e Computação - IGCE