Measuring and Mining LMS Data

Abstract

Educational content quality and quantity is a crucial factor for the success of e-learning procedure. This study puts forward a proposal that enables the evaluation of online content and its usage by the learners. It proposes some new measures and metrics for content and course usage and investigates, through data mining techniques, the impact of users' online behavior to their performance as this is reflected by course grade. The proposed measures and metrics were used in the case study of a Greek university. They tracked both course content quantity and its corresponding usage which express user experience over the learning content. The results show that although many measures are related to higher grade, it is the duration of online study that mainly affects learners' final grade. Therefore an online platform may indicate students with low activity and send them additional messages tar on them to study more time the online course.