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espanolLa analitica de datos es un campo nuevo que ha permeado la educacion superior mediante la incursion de herramientas matematicas, la estadistica, la mineria de datos y el aprendizaje automatico. Inicialmente se presenta una fundamentacion teorica relacionada con la analitica aplicada a la educacion, analitica academica y sus enfoques. Posteriormente se plantea una metodologia cuyo proposito es la revision referencial de los ultimos cinco anos referente al campo de la analitica en educacion y especialmente en lo que concierne a la analitica academica, con el fin de identificar aspectos relativos al crecimiento de este enfoque y sus campos de aplicacion, enfocados a la educacion superior. Los resultados muestran que los investigadores se han enfocado en los ultimos anos a trabajar en el desarrollo de modelos que permitan comprender aspectos de la vida academica del estudiante, docentes e instituciones (rendimiento academico, tasa de desercion y tasa de graduacion en su respectivo orden) que permitan la elaboracion y toma de decisiones acertadas. EnglishData analytics is a new field that has permeated higher education through the foray into mathematical tools, statistics, data mining, and machine learning. Initially, a theoretical foundation related to applied analytics in education, academic analytics and their approaches is presented. Subsequently, a methodology is proposed whose purpose is the referential review of the last five years regarding the field of analytics in education and especially in what concerns academic analytics, in order to identify aspects related to the growth of this approach and its fields application, focused on higher education. The results show that researchers have been concerned in recent years to work on the development of models that allow understanding aspects of the academic life of the student, teachers and institutions (academic performance, dropout rate and graduation rate in their respective order) that allow the development and making of correct decisions. |
