ANALYZING TEACHERS BEHAVIOR USING MOODLE DATA AND BIG DATA TOOLS

Abstract

In this research, we present a new waterfall model for analyzing Big Data from Moodle Database and Logs. We analyze the data from the Moodle e-learning system at the University Goce Delcev in Stip. The idea is to get knowledge about the behavior of teachers and to make clustering in relation to the activities they had on the platform. We also show the tools that we have used to analyze Big Data as well as the clustering tools. The main goal with this analysis is to improve the teaching process by developing specific methods that will contribute to the improvement of student success.