Analyzing Students’ Usage of E-Learning Systems in the Cloud for Course Management

Abstract

E-learning systems are now considered a core IT support in most Institute of Higher Learning. Each student is assigned a set of courses based on their preferences for each semester. Learning materials are posted and evaluated through the system. Mining access and usage log data of the e-learning system can give insights such as on how these materials are accessed by students in their order of preferences on each of the courses. A study was carried out, and the results show that there is good correlation between students’ performance and e-learning usage. In this paper, we describe our methodology on analyzing students’ usage of e-learning systems for course management with the help of cloud computing services. We present a student performance predictive model built from the retrieved logs that is confirmed to achieve sufficiently good accuracy.