Chapter 10: Monitor and Predict Student Engagement and Retention Using Learning Management System (LMS)

The survival and economic equilibrium of Higher Education institutions are heavily contingent on student retention. Predictive models for retention play a crucial role in identifying students at risk of attrition during the early phases, thereby aiding the financial sustainability of these educational establishments. In recent times, scholars have employed a range of data sources, including robust ones like the Learning Management System (LMS), which are meticulously examined and incorporated into these models by researchers to mitigate the perils of attrition.