Wellness Monitoring in Academic Context
EduPilot's mental health framework helps students maintain academic wellness through intelligent monitoring and supportive interventions.
EduPilot tracks cognitive load by analyzing multiple factors: task density, deadline proximity, concurrent critical tasks, and historical completion patterns. This creates a comprehensive view of mental workload that goes beyond simple task counting.
The stress index is calculated on a scale of 1-10 using a weighted formula that considers upcoming deadlines, task complexity, time of day, and completion velocity. The algorithm adapts to individual student patterns over time for personalized insights.
When the stress index exceeds configurable thresholds, EduPilot sends gentle wellness nudges. These aren't alerts but supportive suggestions to take breaks, reprioritize tasks, or seek support. The timing and frequency are carefully calibrated to avoid adding to cognitive load.
All mental health data is stored securely and is only accessible to the individual student. The system is designed as a supportive tool, not a diagnostic instrument. Students can adjust sensitivity levels or opt out of wellness features entirely.
The stress index algorithm combines multiple factors to provide a holistic view of academic wellness:
Important: This framework is designed for wellness support, not medical diagnosis. Always seek professional help for mental health concerns.
EduPilot. Department of Information Systems, FUTA.
Final year project by Adepitan M. and Adetoye S.