Towards an Intelligent System to Improve Student Engagement and Retention

Wenjun Xue, Ghaith Al-Tameemi

Research output: Contribution to JournalArticle

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.
Original languageEnglish
Pages (from-to)1120-1127
Number of pages8
JournalProcedia Computer Science
Volume151
Early online date21 May 2019
DOIs
Publication statusE-pub ahead of print - 21 May 2019

Keywords

  • Learning platform
  • Student activities
  • Data mining
  • Student Engagement

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