Implementar una solución de inteligencia de negocios para explotar la información académica de los estudiantes aplicando Learning Analytics

Abstract

In this research project have been obtained and extracted the data from the various academic systems Student Career Computer and Computer Systems of the Universidad Técnica Particular de Loja in order to be able to analyze academic, social, economic traces and institutions that have left students in the past five years. Once recognized traces its characteristics are drawn to discover the factors and their positive or negative influence on students, this is obtained by interconnecting the result of each factor to the prior approval or disapproval obtained by students according to their academic records. Each factor is what has grouped within a proposed Learning Analytics framework, consisting of six dimensions: personal, teacher training, economic, familial, institutional and academic. Once detected results from the interplay of each factor and its influence on students, have created individual flows for each dimension to calculate the weights which disclose the percentage chance of approval that a student will have to comply or not with the variables of each factor.