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dc.contributor.authorMolina-Astorayme, Jacob
dc.contributor.authorCabanillas-Carbonell, Michael
dc.date.accessioned2021-06-22T22:31:01Z
dc.date.available2021-06-22T22:31:01Z
dc.date.issued2020-11-17
dc.identifier.citationMolina, J. & Cabanillas, M. (2020). Predicting academic performance using automatic learning techniques: A review of the scientific literature. Engineering International Research Conference (EIRCON), 1-4. https://doi.org/10.1109/EIRCON51178.2020.9254065es_PE
dc.identifier.urihttps://hdl.handle.net/11537/26929
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.es_PE
dc.description.abstractABSTRACT Considering the problems and challenges faced by educational institutions in analyzing student performance and improving their educational management, the various automatic learning techniques were examined, which will allow them to generate accurate predictions through the data collected from their students. The present research is a systematic review of literature based on the articles published in IEEE Xplore, Scopus, Science Direct and Scielo where 80 articles were found that according to our inclusion and exclusion criteria were systematized 47. We observed the various techniques used for automatic learning to develop predictive models based on academic performance, we can determine that the most used techniques were the classification. In this way, automatic learning techniques will allow educational institutions to publicize the academic performance of their students in order to improve the educational quality they offer.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceUniversidad Privada del Nortees_PE
dc.sourceRepositorio Institucional - UPNes_PE
dc.subjectRendimiento académicoes_PE
dc.subjectInteligencia artificiales_PE
dc.subjectEnseñanza con ayuda de computadorases_PE
dc.subjectEducación superiores_PE
dc.titlePredicting academic performance using automatic learning techniques: A review of the scientific literaturees_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.publisher.countryPEes_PE
dc.identifier.journalEngineering International Research Conference (EIRCON)es_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.description.sedeLos Olivoses_PE
dc.identifier.doihttps://doi.org/10.1109/EIRCON51178.2020.9254065


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