School performance analysis from a scholastic learning process

Abstract

In this study, the authors describe the design and use evaluation of a system that allows the academic behavior analysis of high school students using a data model based on business intelligence techniques. Based on the system data analysis information can be extracted and the right decisions taken in order to help and improve the student academic performance. From the design and implementation of the model, the relationship between the study habits of students and their academic performance is studied. More specifically, it aims to validate the initial hypothesis that there is a relationship between study habits of students and their academic performance. Based on the analysis it is concluded that the initial hypothesis is true. The proposed model also allows the extraction of information to other levels, where its primary objective is the application to improve the academic performance of students or to prevent situations of academic failure.