Risk Prediction
Uses learning analytics to surface students who may need academic support before failure becomes inevitable.
Predictive Analytics
Early Warning System (EWS)
A learning analytics platform that identifies students at academic risk early enough for meaningful intervention.
Role
Lead Developer
Built to support student success through predictive risk signals, academic monitoring, faculty visibility, and structured intervention workflows.
Domain
Higher education
Focus
At-risk student identification & intervention
How EWS Helps
Academic Monitoring
Tracks performance patterns across modules and programmes for continuous visibility.
Intervention Management
Supports coordinated responses when risk indicators appear, helping teams act with context.
Executive & Faculty Views
Dashboards for leadership and academic staff to monitor risk, modules, and student performance.
Core Capabilities
- Student risk prediction
- Academic monitoring and predictive analytics
- Intervention management
- Executive dashboards
- Faculty dashboards
- Student performance analytics
- Module at-risk monitoring
- Learning analytics workflows
Research Alignment
EWS aligns with Kgaugelo’s Honours research focus: using learning analytics to identify and predict at-risk students in distance learning environments.