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A machine learning model to predict standardized tests in engineering programs in Colombia

dc.contributor.authorSoto-Acevedo, Misorly
dc.contributor.authorZuluaga Ortiz, Rohemi Alfredo
dc.contributor.authorDelahoz Domínguez, Enrique J.
dc.contributor.authorAbuchar Curi, Alfredo Miguel
dc.coverage.spatialColombia
dc.date.accessioned2023-09-05T19:21:36Z
dc.date.available2023-09-05T19:21:36Z
dc.date.issued2023-08
dc.date.submitted2023-09-05
dc.identifier.citationM. Soto-Acevedo, A. M. Abuchar-Curi, R. A. Zuluaga-Ortiz and E. J. Delahoz-Dominguez, "A machine learning model to predict standardized tests in engineering programs in Colombia," in IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, doi: 10.1109/RITA.2023.3301396.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12476
dc.description.abstractThis research develops a model to predict the results of Colombia’s national standardized test for Engineering programs. The research made it possible to forecast each student’s results and thus make decisions on reinforcement strategies to improve student performance. Therefore, a Learning Analytics approach based on three stages was developed: first, analysis and debugging of the database; second, multivariate analysis; and third, machine learning techniques. The results show an association between the performance levels in the Highschool test and the university test results. In addition, the machine learning algorithm that adequately fits the research problem is the Generalized Linear Network Model. For the training stage, the results of the model in Accuracy, AUC, Sensitivity, and Specificity were 0.810, 0.820, 0.813, and 0.827, respectively; in the evaluation stage, the results of the model in Accuracy, AUC, Sensitivity, and Specificity were 0.820, 0.820, 0.827 and 0.813 respectively.spa
dc.format.extent8 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.sourceIEEE Revista Iberoamericana de Tecnologías del Aprendizajespa
dc.titleA machine learning model to predict standardized tests in engineering programs in Colombiaspa
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dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.identifier.doi10.1109/RITA.2023.3301396
dc.subject.keywordsLearning Analyticsspa
dc.subject.keywordsMachine Learningspa
dc.subject.keywordsPredictive Evaluationspa
dc.subject.keywordsStandardized testsspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
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dc.audienceInvestigadoresspa
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.