An outlook is presented, summarizing the types of information analysis that are applying currently to the educative area like the: Data mining, academic analysis and learning analytics, identifying the advantages of the implementation, the use of the methodology b-learning and big data in the pedagogical processes. Later, an approach of the existing problem in the Colombian university is made, with the purpose of propose an application model tools of big data to determinate student retention, desertion and university academic performance.
CITATION STYLE
Contreras Bravo, L. E., Tarazona Bermudez, G. M., & Molano, J. I. R. (2018). Big data: An exploration toward the improve of the academic performance in higher education. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10943 LNCS, pp. 627–637). Springer Verlag. https://doi.org/10.1007/978-3-319-93803-5_59
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