Academic performance profiles in algorithms and data structures of UTN

dc.creatorLa Red Martínez, David Luis
dc.creatorKaranik, Marcelo
dc.creatorGiovaninni, Mirta Eve
dc.creatorPinto, Noelia
dc.date.accessioned2016-09-28T12:13:28Z
dc.date.available2016-09-28T12:13:28Z
dc.date.issued2015-07-12
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 Algorithms and Data Structures of Information Systems Engineering career (ISI) of the National Technological University, Resistencia Regional Faculty (UTNFRRe), situated in Resistencia city, province of Chaco, Argentine, 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). This article describes the data models and data mining used and the main results are also commented.es_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.formatapplication/pdf
dc.identifier.isbn978-1-941763-24-7
dc.identifier.urihttp://hdl.handle.net/20.500.12272/1027
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.rights.useAcceso Abiertoes_ES
dc.rights.useAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.subjectacademic performance profileses_ES
dc.subjectdata warehouseses_ES
dc.subjectdata mininges_ES
dc.subjectknowledge discovery in databaseses_ES
dc.titleAcademic performance profiles in algorithms and data structures of UTNes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.snrdinfo:ar-repo/semantics/artículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES

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