Integration of data technology for analyzing university dropout

amelec, viloria; Garcia Padilla, Jholman; Vargas Mercado, Carlos; Hernández Palma, Hugo; ORELLANO LLINAS, NATALY; ARRAZOLA DAVID, MONICA JUDITH

dc.contributor.author	amelec, viloria	spa
dc.contributor.author	Garcia Padilla, Jholman	spa
dc.contributor.author	Vargas Mercado, Carlos	spa
dc.contributor.author	Hernández Palma, Hugo	spa
dc.contributor.author	ORELLANO LLINAS, NATALY	spa
dc.contributor.author	ARRAZOLA DAVID, MONICA JUDITH	spa
dc.date.accessioned	2020-01-20T15:09:59Z
dc.date.available	2020-01-20T15:09:59Z
dc.date.issued	2019-08-19
dc.identifier.issn	0000-2010	spa
dc.identifier.uri	http://hdl.handle.net/11323/5878	spa
dc.description.abstract	Dropout, defined as the abandonment of a career before obtaining the corresponding degree, considering a significant time period to rule out the possibility of return. Higher education students´ dropout generates several issues that affect students and universities. The results obtained from the data provided by the Engineering departments of the University of Mumbai, in India, determine that the variables that best explain a student's dropout are the socioeconomic factors and the income score provided by the University Admission Test (UAT). According to the decision tree technique, it is concluded that the retention is 78.3%. The quality of the classifiers allows to ensure that their predictions are correct, with statistical levels of ROC curve are 76%, 75%, and 83% successful for Bayesian network classifiers, decision tree, and neural network respectively.	spa
dc.language.iso	eng
dc.publisher	Procedia Computer Science	spa
dc.relation.ispartof	https://doi.org/10.1016/j.procs.2019.08.079	spa
dc.rights	CC0 1.0 Universal	spa
dc.rights.uri	http://creativecommons.org/publicdomain/zero/1.0/	spa
dc.subject	University retention	spa
dc.subject	University dropout	spa
dc.subject	Data mining	spa
dc.subject	Education	spa
dc.subject	Engineering	spa
dc.subject	Big Data	spa
dc.title	Integration of data technology for analyzing university dropout	spa
dc.type	Artículo de revista	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.identifier.instname	Corporación Universidad de la Costa	spa
dc.identifier.reponame	REDICUC - Repositorio CUC	spa
dc.identifier.repourl	https://repositorio.cuc.edu.co/	spa
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