Estudio del impacto de un curso de nivelación en el desempeño de alumnos de ingeniería utilizando Minería de Datos Educacional

Abstract

In an educational environment, a large amount of information is generated, when properly analyzed, can be useful in decision-making. Educational Data Mining uses Data Mining techniques for analyzing academic information, in such a way that knowledge of different educational aspects can be obtained, being one of the most studied, the academic performance. In the Universidad Autónoma Metropolitana, leveling courses were created so that students who have recently entered