Using learning analytics and visualization techniques to evaluate the structure of higher education curricula

Detalhes bibliográficos
Autor(a) principal: Barbosa, Artur Mesquita
Data de Publicação: 2017
Outros Autores: Araújo Neto, Antônio Nilo, Santos, Emanuele, Gomes, João Paulo P.
Tipo de documento: Artigo de conferência
Idioma: por
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/36898
Resumo: BARBOSA, Artur Mesquita; ARAÚJO NETO, Antônio Nilo de; SANTOS, Emanuele; GOMES, João Paulo P. Using learning analytics and visualization techniques to evaluate the structure of higher education curricula. In: CONGRESSO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO, 6., SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO, 28., Recife, 30 out./02 nov. 2017. Anais... Recife: Sociedade Brasileira de Computação, 2018. p. 1297-1306.
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spelling Using learning analytics and visualization techniques to evaluate the structure of higher education curriculaMining techniqueCurriculum’s structure evaluationSynthetic Control Method (SCM)BARBOSA, Artur Mesquita; ARAÚJO NETO, Antônio Nilo de; SANTOS, Emanuele; GOMES, João Paulo P. Using learning analytics and visualization techniques to evaluate the structure of higher education curricula. In: CONGRESSO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO, 6., SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO, 28., Recife, 30 out./02 nov. 2017. Anais... Recife: Sociedade Brasileira de Computação, 2018. p. 1297-1306.In this paper, we propose a data mining technique that evaluates a curriculum’s structure based on academic data collected from Computer Science students from 2005 to 2016. Our approach is based on the Synthetic Control Method (SCM), which builds a linear model describing the relation between courses based on student performance information. The proposed model is compared to a linear regression model with positive coefficients. In addition to providing the relation between courses, it can also be used to predict students’ grades in a specific course based on their previous grades. The results are visualized in a user-friendly tool, which allows for contrast and comparison between the official structure and the structure found based on the data.Sociedade Brasileira de Computação2018-11-06T15:45:44Z2018-11-06T15:45:44Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfBarbosa, A. M.; Araújo Neto, A. N.; Santos, E.; Gomes, J. P. P. (2017)2316-6533http://www.repositorio.ufc.br/handle/riufc/36898Barbosa, Artur MesquitaAraújo Neto, Antônio NiloSantos, EmanueleGomes, João Paulo P.porreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2020-08-31T18:14:13Zoai:repositorio.ufc.br:riufc/36898Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:49:31.563229Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
title Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
spellingShingle Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
Barbosa, Artur Mesquita
Mining technique
Curriculum’s structure evaluation
Synthetic Control Method (SCM)
title_short Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
title_full Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
title_fullStr Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
title_full_unstemmed Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
title_sort Using learning analytics and visualization techniques to evaluate the structure of higher education curricula
author Barbosa, Artur Mesquita
author_facet Barbosa, Artur Mesquita
Araújo Neto, Antônio Nilo
Santos, Emanuele
Gomes, João Paulo P.
author_role author
author2 Araújo Neto, Antônio Nilo
Santos, Emanuele
Gomes, João Paulo P.
author2_role author
author
author
dc.contributor.author.fl_str_mv Barbosa, Artur Mesquita
Araújo Neto, Antônio Nilo
Santos, Emanuele
Gomes, João Paulo P.
dc.subject.por.fl_str_mv Mining technique
Curriculum’s structure evaluation
Synthetic Control Method (SCM)
topic Mining technique
Curriculum’s structure evaluation
Synthetic Control Method (SCM)
description BARBOSA, Artur Mesquita; ARAÚJO NETO, Antônio Nilo de; SANTOS, Emanuele; GOMES, João Paulo P. Using learning analytics and visualization techniques to evaluate the structure of higher education curricula. In: CONGRESSO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO, 6., SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO, 28., Recife, 30 out./02 nov. 2017. Anais... Recife: Sociedade Brasileira de Computação, 2018. p. 1297-1306.
publishDate 2017
dc.date.none.fl_str_mv 2017
2018-11-06T15:45:44Z
2018-11-06T15:45:44Z
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 Barbosa, A. M.; Araújo Neto, A. N.; Santos, E.; Gomes, J. P. P. (2017)
2316-6533
http://www.repositorio.ufc.br/handle/riufc/36898
identifier_str_mv Barbosa, A. M.; Araújo Neto, A. N.; Santos, E.; Gomes, J. P. P. (2017)
2316-6533
url http://www.repositorio.ufc.br/handle/riufc/36898
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sociedade Brasileira de Computação
publisher.none.fl_str_mv Sociedade Brasileira de Computação
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
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