Aplicación de Técnicas de Minería de datos para determinar patrones de comportamiento en las actividades realizadas en el EVA por parte de los estudiantes de Modalidad a Distancia

Abstract

Data mining is the process of discovering relationships, patterns or trends in examining large amounts of data. In the Universidad Técnica Particular de Loja makes several cycles have been implemented activities online (Forum, chat, and video collaboration) in the process of teaching-learning of the mode to distance. after several cycles of its implementation arises the need to evaluate the impact these activities have had, as well as find and evaluate behavioral patterns. This work applies techniques of data mining Association rules and self-organized maps of Kohonen to each of the online activities for the academic period April - August 2015 of the degrees of modality to distance, in order to analyze and evaluate the behavior of students with these activities