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

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorRondado de Sousa, Leandro-
Autor(es): dc.creatorOliveira de Carvalho, Veronica-
Autor(es): dc.creatorPenteado, Bruno Elias-
Autor(es): dc.creatorAffonso, Frank José-
Data de aceite: dc.date.accessioned2025-08-21T16:01:32Z-
Data de disponibilização: dc.date.available2025-08-21T16:01:32Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249134-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249134-
Descrição: dc.descriptionDropout 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).-
Descrição: dc.descriptionUniversidade Estadual Paulista (Unesp) Instituto de Geociências e Ciências Exatas-
Descrição: dc.descriptionUniversidade de São Paulo (USP) Instituto de Ciências Matemáticas e de Computação-
Descrição: dc.descriptionUniversidade Estadual Paulista (Unesp) Instituto de Geociências e Ciências Exatas-
Formato: dc.format36-47-
Idioma: dc.languageen-
Relação: dc.relationInternational Conference on Computer Supported Education, CSEDU - Proceedings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectData Mining-
Palavras-chave: dc.subjectFace-to-Face-
Palavras-chave: dc.subjectSchool Dropout-
Palavras-chave: dc.subjectSystematic Mapping-
Título: dc.titleA Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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