- Overview: Predictive modeling uses historical and real-time data to predict future learner behaviors, such as the likelihood of course completion or achieving specific outcomes. This enables proactive interventions that prevent issues before they arise.
- Applications: Predictive models can identify learners at risk of dropping out, allowing for timely support. They can also predict performance on future assessments, enabling personalized study recommendations.