Formulation of a predictive model for academic performance based on students' academic and demographic data

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dc.contributor.authorMerchán Rubiano, Sandra Milena
dc.contributor.authorDuarte Garcia, Jorge Alberto
dc.contributor.orcidMerchán Rubiano, Sandra Milena [0000-0003-3142-1417]
dc.date.accessioned2020-11-17T21:24:40Z
dc.date.available2020-11-17T21:24:40Z
dc.date.issued2015
dc.description.abstractenglishThis work is based upon the results of an evaluation process applied over data mining techniques, in order to find the most adequate ones to extract classification rules from first-year students' academic and demographic data in relation with their academic performance. As a result of this, the formulation of a predictive model for academic performance is presented; model whose construction was achieved by analyzing, selecting and defining the classification rules that properly predict the academic performance of Systems Engineering students, at Universidad El Bosque in Bogotá, Colombia. Classification rules that make up the model are analyzed from a contextualized academic point of view; consequently evaluating the pertinence of the relationships between attributes contained within these rules and their ability to predict poor academic performance (through academic risk). Also their applicability to datasets from other academic programs is contemplated, in order to generate useful strategies to prevent academic desertion, being poor academic performance one of the most influencing factors over this phenomenon.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/FIE.2015.7344047
dc.identifier.instnameinstname:Universidad El Bosquespa
dc.identifier.reponamereponame:Repositorio Institucional Universidad El Bosquespa
dc.identifier.repourlrepourl:https://repositorio.unbosque.edu.co
dc.identifier.urihttps://hdl.handle.net/20.500.12495/5072
dc.language.isoeng
dc.publisherIEEEspa
dc.relation.ispartofseriesProceedings - Frontiers in Education Conference, FIE, Vol. 2, December 2015spa
dc.relation.urihttps://ieeexplore.ieee.org/document/7344047?reload=true&arnumber=7344047
dc.rights.accessrightshttps://purl.org/coar/access_right/c_abf2
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.accessrightsAcceso abierto
dc.rights.creativecommons2015
dc.rights.localAcceso abiertospa
dc.subject.armarcMetodologíaspa
dc.subject.armarcEstudiantes -- Calificaciónspa
dc.subject.armarcMediciones y pruebas educativasspa
dc.titleFormulation of a predictive model for academic performance based on students' academic and demographic dataspa
dc.title.translatedFormulation of a predictive model for academic performance based on students' academic and demographic dataspa
dc.type.coarhttps://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículo de revista

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