From moodle log file to the students network

Abstract

E-learning is a method of education which usually uses Learning Management Systems and internet environment to ensure the maintenance of courses and to support the educational process. Moodle, one of such systems widely used, provides several statistical tools to analyse students’ behaviour in the system. However, none of these tools provides visualisation of relations between students and their clustering into groups based on their similar behaviour. This article presents a proposed approach for analysis of students’ behaviour in the system based on their profiles and on the students’ profiles similarity. The approach uses principles from process mining and the visualization of relations between students and groups of students is done by graph theory.