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dc.creatorLa Red Martínez, David Luis
dc.creatorKaranik, Marcelo
dc.creatorGiovaninni, Mirta Eve
dc.creatorPinto, Noelia
dc.date.accessioned2016-09-28T12:22:45Z
dc.date.available2016-09-28T12:22:45Z
dc.date.issued2015-03-10
dc.identifier.issn1857-7881es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12272/1028
dc.description.abstractAcademic performance is a critical factor considering that poor academic performance is often associated with a high attrition rate. This has been observed in subjects of the first level of Information Systems Engineering career (ISI) of the National Technological University, Resistencia Regional Faculty (UTN-FRRe), situated in Resistencia city, province of Chaco, Argentine. Among them is Algorithms and Data Structures, where the poor academic performance is observed at very high rates (between 60% and about 80% in recent years). In this paper, we propose the use of data mining techniques on performance information for students of the subject mentioned, in order to characterize the profiles of successful students (good academic performance) and those that are not (poor performance). In the future, the determination of these profiles would allow us to define specific actions to reverse poor academic performance, once detected the variables associated with it. This article describes the data models and data mining used and the main results are also commentedes_ES
dc.formatapplication/pdf
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectacademic performance profileses_ES
dc.subjectdata warehouseses_ES
dc.subjectdata mininges_ES
dc.subjectknowledge discovery in databaseses_ES
dc.titleAcademic performance profiles : a descriptive model based on data mininges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.affiliationFil: La Red Martínez, David Luis. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Grupo de Investigación Educativa sobre Ingeniería; Argentina
dc.description.affiliationFil: Karanik, Marcelo. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Grupo de Investigación Educativa sobre Ingeniería; Argentina
dc.description.affiliationFil: Giovaninni, Mirta Eve. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Grupo de Investigación Educativa sobre Ingeniería; Argentina
dc.description.affiliationFil: Pinto, Noelia. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Grupo de Investigación Educativa sobre Ingeniería; Argentina
dc.description.peerreviewedPeer Reviewedes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.type.snrdinfo:ar-repo/semantics/artículoes_ES
dc.rights.useAcceso Abiertoes_ES
dc.rights.useAttribution-NonCommercial-NoDerivs 3.0 United States*


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