Towards an intelligent system to improve student engagement and retention

Abstract

The impact of the learning platforms on student performance has always been a popular subject of research on improving student academic performance during the course study. A variety of research and studies have been conducted based on the student opinions to determine the effectiveness of the student engagement in learning platform on student performance. However, these opinions may not be accurately affected. In this paper, we will track the student activities inside the learning platform in real-time during their course study. Only the meaningful activities such as downloading assignments, lectures, viewing notification and visiting the resources will be extracted from the learning platform. An algorithm has been developed for mining and measuring student performance inside the learning platform.