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Retraction: using Big Data to determine potential dropouts in higher education

dc.contributor.authoramelec, viloriaspa
dc.contributor.authorSenior Naveda, Alexaspa
dc.contributor.authorAngulo Palma, Hugo Javierspa
dc.contributor.authorNiebles Núñez, Williamspa
dc.contributor.authorNiebles Nuñez, Leonardo Davidspa
dc.date.accessioned2020-12-19T23:12:44Z
dc.date.available2020-12-19T23:12:44Z
dc.date.issued2020
dc.identifier.issn1742-6588spa
dc.identifier.issn1742-6596spa
dc.identifier.urihttps://hdl.handle.net/11323/7616spa
dc.description.abstractIn higher education, student dropout is a relevant problem, not just in Latin America but also in developed countries. Although there is no consensus to measure the education quality, one of the important indicators of university success is the time to graduation (TTG), which is directly related to student dropout [1]. Global estimates put this dropout rate at 42% [2]. In the United States, this rate is around 30% and represents a loss of 9 billion dollars in the education of these students [3]. However, desertion not only affects the quality of education and the economy of a country, but also has effects on the development of society, since society demands the contributions derived from the population with higher education such as: innovation, knowledge production and scientific discovery [4]. Using basic statistical learning techniques, this paper presents a simple way to predict possible dropouts based on their demographic and academic characteristics.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.sourceJournal of Physics: Conference Seriesspa
dc.subjectBig Dataspa
dc.subjectHigher educationspa
dc.subjectDropoutsspa
dc.titleRetraction: using Big Data to determine potential dropouts in higher educationspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://iopscience.iop.org/article/10.1088/1742-6596/1432/1/012077spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doidoi:10.1088/1742-6596/1432/1/012106spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
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