Regresar

Student Academic Behavior Attributes: First Phase

Abstract:

This work consists of identifying attributes in the data record that help to understand student behavior, and thereby improve teacher feedback. For this, the J48 algorithms were applied, which were able to identify the base attribute on which students can be grouped and know their possible behavior in the classroom. The results show a ROC curve with an AUC = 0.97 and the grouping of KNN greater than 80%, which indicates possible attributes for the identification of academic student behavior.