E-Learning Platform Characterization from User Trafic

Abstract

An e-Learning platform has been designed and implemented. The platform has built in capabilities of monitoring and recording user's actions. For a user, all executed actions on the platform represent his activity. The activity of all users makes up platform's activity. Based on platform's activity data, we introduce an attribute for our e-Learning platform called Quality of Service (QoS). Two parameters define the QoS: learning proficiency of students and classification capability of the platform. Machine learning and modeling techniques evaluate the parameters for our platform or any other e-Learning system.