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Model for predicting academic performance through artificial intelligence

dc.contributor.authorSilva, Jesús
dc.contributor.authorRomero, Ligia
dc.contributor.authorsolano, darwin
dc.contributor.authorFernández, Claudia
dc.contributor.authorPineda, Omar
dc.contributor.authorRojas, Karina
dc.date.accessioned2020-11-12T21:10:43Z
dc.date.available2020-11-12T21:10:43Z
dc.date.issued2020
dc.identifier.issn2194-5357
dc.identifier.urihttps://hdl.handle.net/11323/7291
dc.description.abstractDuring the transit of students in the acquisition of competencies that allow them a good future development of their profession, they face the constant challenge of overcoming academic subjects. According to the learning theory, the probability of success of his studies is a multifactorial problem, with learning-teaching interaction being a transcendental element (Muñoz-Repiso and Gómez-Pablos in Edutec. Revista Electrónica de Tecnología Educativa 52: a291–a291 (2015), [1]. This research describes a predicative model of academic performance using neural network techniques on a real data set.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceAdvances in Intelligent Systems and Computingspa
dc.subjectAcademic performancespa
dc.subjectBig dataspa
dc.subjectNeural networksspa
dc.subjectLearning analyticsspa
dc.titleModel for predicting academic performance through artificial intelligencespa
dc.typePre-Publicaciónspa
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dc.source.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85090094518&doi=10.1007%2f978-981-15-6876-3_41&partnerID=40&md5=8195fed2ff7082bc4a3977ff9b05616bspa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.date.embargoEnd2021-01-31
dc.type.hasversioninfo:eu-repo/semantics/draftspa


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International