Factors to predict dropout at the universities: A case of study in Ecuador

Abstract

The dropout at the universities has become a concern in several countries around the world, its high rates generate negative consequences for students and organizations. Based on the analysis of the educative, organizational theories, and the logic reasoning were established 11 factors that influenced in the dropout. This research as an objective to design a model to determine new factors to predict the dropout in which the dimension of analysis were the students, the institutions, the academic context and the social and economic environment. Additionally, trying through the use of Logistical Regression, Decision Tree and Support Vector Machine if the proposed factors are related and or may contribute predicting the dropout at the universities of Ecuador.

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