Development and Application of Academic Analytics in a School

EasyChair Preprint no. 3502

Abstract

This document relates the data analysis that comes from academic thinking, as well as the data collection that generates potential tools. There is a growing interest in data mining and educational systems, which makes educational data mining a new growing research community, allowing the opportunity to track and store student learning activities as large data sets in online environments, making us aware of an intelligent use of the data produced by the academic environment, which allows us understand and predict the processes involved, as well as optimize the environments in which such learning occurs.

Keyphrases: Academics, Analytics, Bussiness, Ciencia, intelligence

@Booklet{EasyChair:3502,
  author = {Daniel Florez Rodriguez and Jenifer Fontalvo Aragon and Jorge Enrique Portella Cleves and Luis Fernando Briceño Clavijo},
  title = {Development and Application of Academic Analytics in a School},
  howpublished = {EasyChair Preprint no. 3502},

  year = {EasyChair, 2020}}