Data mining in academic databases to detect behaviors of students related to school dropout and disapproval

Detalhes bibliográficos
Autor(a) principal: Cunha, José Antônio
Data de Publicação: 2016
Outros Autores: Moura, Elionai, Analide, César
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional Memoria (IFRN)
Texto Completo: http://memoria.ifrn.edu.br/handle/1044/1163
Resumo: This work focuses on data mining in relational databases, aiming to detect behaviors related to school dropouts and disapproval by mapping the factors that influence this dropout. This work is relevant by the fact that the dropout and school disapproval are big factors of concern to all who care about education in Brasil. At the end of it, we intend to point out the need to implement solutions that enable access to results dynamically, thus allowing educators can early diagnose the causes of school dropout and disapproval, and allow for relevant pedagogical actions. This way, we intend to reduce the school dropout and school disapproval, towards a more efficient teaching and learning process at Brazilian federal education institution named Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRN
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spelling 2017-05-30T15:07:33Z2016-04-012017-05-30T15:07:33Z2016-03-03978-3-319-31307-8http://memoria.ifrn.edu.br/handle/1044/1163This work focuses on data mining in relational databases, aiming to detect behaviors related to school dropouts and disapproval by mapping the factors that influence this dropout. This work is relevant by the fact that the dropout and school disapproval are big factors of concern to all who care about education in Brasil. At the end of it, we intend to point out the need to implement solutions that enable access to results dynamically, thus allowing educators can early diagnose the causes of school dropout and disapproval, and allow for relevant pedagogical actions. This way, we intend to reduce the school dropout and school disapproval, towards a more efficient teaching and learning process at Brazilian federal education institution named Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRNThis work focuses on data mining in relational databases, aiming to detect behaviors related to school dropouts and disapproval by mapping the factors that influence this dropout. This work is relevant by the fact that the dropout and school disapproval are big factors of concern to all who care about education in Brasil. At the end of it, we intend to point out the need to implement solutions that enable access to results dynamically, thus allowing educators can early diagnose the causes of school dropout and disapproval, and allow for relevant pedagogical actions. This way, we intend to reduce the school dropout and school disapproval, towards a more efficient teaching and learning process at Brazilian federal education institution named Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRNSubmitted by Elionai Moura Cordeiro (elionai.moura@ifrn.edu.br) on 2016-03-31T15:38:13Z No. of bitstreams: 1 Artigo Datamining IFRN - Springer.pdf: 736913 bytes, checksum: 2e3045bb50f4d17277ac8a3dbba13703 (MD5)Approved for entry into archive by Vanessa Oliveira de Macedo Cavalcanti (vanessa.cavalcanti@ifrn.edu.br) on 2017-05-30T15:07:33Z (GMT) No. of bitstreams: 1 Artigo Datamining IFRN - Springer.pdf: 736913 bytes, checksum: 2e3045bb50f4d17277ac8a3dbba13703 (MD5)Made available in DSpace on 2017-05-30T15:07:33Z (GMT). No. of bitstreams: 1 Artigo Datamining IFRN - Springer.pdf: 736913 bytes, checksum: 2e3045bb50f4d17277ac8a3dbba13703 (MD5) Previous issue date: 2016-03-03engInstituto Federal de Educação, Ciência e Tecnologia do Rio Grande do NorteIFRNBrasilCeará-MirimCNPQ::CIENCIAS EXATAS E DA TERRASchool dropoutMachine learningSchool disaprovalEducational Data MiningData mining in academic databases to detect behaviors of students related to school dropout and disapprovalinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart189198Cunha, José AntônioMoura, ElionaiAnalide, Césarinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional Memoria (IFRN)instname:Instituto Federal do Rio Grande do Norte (IFRN)instacron:IFRNTHUMBNAILArtigo Datamining IFRN - Springer.pdf.jpgArtigo Datamining IFRN - Springer.pdf.jpgIM Thumbnailimage/jpeg6526http://localhost:8080/xmlui/bitstream/1044/1163/4/Artigo+Datamining+IFRN+-+Springer.pdf.jpgf12e638e1af22321488df1ea68ea9e6dMD54TEXTArtigo Datamining IFRN - Springer.pdf.txtArtigo Datamining IFRN - Springer.pdf.txtExtracted texttext/plain32721http://localhost:8080/xmlui/bitstream/1044/1163/3/Artigo+Datamining+IFRN+-+Springer.pdf.txtf770a772e1097dbcea9e59c195aa478fMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://localhost:8080/xmlui/bitstream/1044/1163/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALArtigo Datamining IFRN - Springer.pdfArtigo Datamining IFRN - Springer.pdfapplication/pdf736913http://localhost:8080/xmlui/bitstream/1044/1163/1/Artigo+Datamining+IFRN+-+Springer.pdf2e3045bb50f4d17277ac8a3dbba13703MD511044/11632017-05-30 12:34:15.847oai:localhost: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Repositório InstitucionalPUBhttps://memoria.ifrn.edu.br/oai/memoria@ifrn.edu.bropendoar:2017-05-30T15:34:15Repositório Institucional Memoria (IFRN) - Instituto Federal do Rio Grande do Norte (IFRN)false
dc.title.pt_BR.fl_str_mv Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
title Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
spellingShingle Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
Cunha, José Antônio
CNPQ::CIENCIAS EXATAS E DA TERRA
School dropout
Machine learning
School disaproval
Educational Data Mining
title_short Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
title_full Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
title_fullStr Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
title_full_unstemmed Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
title_sort Data mining in academic databases to detect behaviors of students related to school dropout and disapproval
author Cunha, José Antônio
author_facet Cunha, José Antônio
Moura, Elionai
Analide, César
author_role author
author2 Moura, Elionai
Analide, César
author2_role author
author
dc.contributor.author.fl_str_mv Cunha, José Antônio
Moura, Elionai
Analide, César
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS EXATAS E DA TERRA
topic CNPQ::CIENCIAS EXATAS E DA TERRA
School dropout
Machine learning
School disaproval
Educational Data Mining
dc.subject.por.fl_str_mv School dropout
Machine learning
School disaproval
Educational Data Mining
description This work focuses on data mining in relational databases, aiming to detect behaviors related to school dropouts and disapproval by mapping the factors that influence this dropout. This work is relevant by the fact that the dropout and school disapproval are big factors of concern to all who care about education in Brasil. At the end of it, we intend to point out the need to implement solutions that enable access to results dynamically, thus allowing educators can early diagnose the causes of school dropout and disapproval, and allow for relevant pedagogical actions. This way, we intend to reduce the school dropout and school disapproval, towards a more efficient teaching and learning process at Brazilian federal education institution named Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRN
publishDate 2016
dc.date.available.fl_str_mv 2016-04-01
2017-05-30T15:07:33Z
dc.date.issued.fl_str_mv 2016-03-03
dc.date.accessioned.fl_str_mv 2017-05-30T15:07:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bookPart
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://memoria.ifrn.edu.br/handle/1044/1163
dc.identifier.isbn.pt_BR.fl_str_mv 978-3-319-31307-8
identifier_str_mv 978-3-319-31307-8
url http://memoria.ifrn.edu.br/handle/1044/1163
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
dc.publisher.initials.fl_str_mv IFRN
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Ceará-Mirim
publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
dc.source.none.fl_str_mv reponame:Repositório Institucional Memoria (IFRN)
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