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Higher Education Students Dropout Pbkp_rediction

Abstract:

The dropout of higher education students is a worldwide problem, which has been studied for several decades. Initially, the investigations focused on psychological and individual aspects of the student, but later they began to include variables from the context of the academy. With the expansion of this phenomenon in higher education institutions, academic managers seek alternatives that allow them to control and reduce the abandonment of academia. Emerging data mining (DM) as a viable option. DM is one of the many tools that exploits a large amount of information for a specific purpose. The use of DM applied within the educational area allows the collection of information and its classification to help the institution’s decision making, through the use of classification algorithms and modeling techniques. Since this is an important issue for higher education institutions, it is crucial to determine the reasons that encourage students to drop out of their studies in order to generate indicators that prevent the problem. The main objective of this research is, precisely, to know the reasons why a student who enters the university can become an early dropout.