Analyzing the determinant characteristics for a good performance at enade brazilian exam stratified by teaching modality: face-to-face versus online

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dc.contributor.authorGondran, Eric
dc.contributor.authorLucca, Giancarlo
dc.contributor.authorBerri, Rafael A.
dc.contributor.authorSantos, Helida
dc.contributor.authorBorges, Eduardo N.
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2023-06-20T11:25:38Z
dc.date.available2023-06-20T11:25:38Z
dc.date.issued2022
dc.date.updated2023-06-20T11:10:07Z
dc.description.abstractThe National Student Performance Exam (ENADE) annually evaluates different Brazilian higher education courses. This exam considers both face-to-face and distance learning courses. Distance learning is growing increasingly, especially during the coronavirus (COVID-19) pandemic. This study applies different techniques for selecting ENADE 2018 database characteristics, like information gain, gain rate, symmetric uncertainty, Pearson correlation, and relief F. The objective of the work is to discover which personal and socioeconomic characteristics are decisive for the student's performance at ENADE, whether the student is in the context of Distance Education or face-to-face. It can be concluded, among other results, that: the father's level of education directly influences performance; the higher the income, the better the performance; and white students have better performance than black and brown-skinned ones. Thus, the results obtained in this study may initiate analyzes of public policies towards improving performance at ENADE.en
dc.description.sponsorshipThis study was supported by CNPq (305805/2021-5) and PNPD/CAPES (464880/2019-00).en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGondran, E., Lucca, G., Berri, R., Santos, H., & Borges, E. (2022). Analyzing the determinant characteristics for a good performance at enade brazilian exam stratified by teaching modality: Face-to-face versus online: Proceedings of the 24th International Conference on Enterprise Information Systems, 234-242. https://doi.org/10.5220/0011070600003179en
dc.identifier.doi10.5220/0011070600003179
dc.identifier.isbn978-989-758-569-2
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45560
dc.language.isoengen
dc.publisherSciTePressen
dc.relation.ispartofProceedings of the 24th International Conference on Enterprise Information Systems. Setubal: SciTePress; 2022. p.234-242 978-989-758-569-2en
dc.relation.publisherversionhttps://doi.org/10.5220/0011070600003179
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectData scienceen
dc.subjectEducational data miningen
dc.subjectENADEen
dc.subjectFeature selectionen
dc.titleAnalyzing the determinant characteristics for a good performance at enade brazilian exam stratified by teaching modality: face-to-face versus onlineen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication8c79084b-8af8-4913-a958-52ca175bd136
relation.isAuthorOfPublication.latestForDiscovery8c79084b-8af8-4913-a958-52ca175bd136

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