Abstract
One of the relevant tasks of the teaching-learning process is that of evaluation. In this sense, estimating the academic performance exhibited by the final evaluation of a student, at the end of the current semester, has become of particular interest for students, parents, educators, educative managers and researchers alike. More specifically, the cur- rent paper is focused in determining whether a first semester engineering student at the Universidad Tecnologica de Pereira, Colombia, will pass or fail the Mathematics I course. This paper proposes the use of the Gamma Classifier together with Wilson Editing to solve the problem. Results observed are competitive against classic models of pattern recogni- tion.
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