AI-powered at-risk scoring. Dropout prediction. Intervention recommendations.
Reporting takes weeks of manual data extraction from multiple systems
No early warning system — you find out a student is struggling at report card time
Decisions based on gut feeling rather than data
Real-time dashboards updated continuously from all modules
Predictive AI scoring flags at-risk students weeks before crisis
Automated intervention recommendations so counsellors know what to do
What's Inside
Multi-factor risk scoring: attendance, grades, and assignment completion weighted by configurable policy.
Multi-factor risk scoring model that flags students at elevated risk of dropout.
Linear regression projection to forecast academic outcomes.
Automated intervention suggestions based on student profiles.
Org-admin view comparing performance across all campuses.
Scholova analytics dashboard with at-risk student scoring
Full Detail
Multi-factor risk scoring: attendance, grades, and assignment completion weighted by configurable policy.
Multi-factor risk scoring model that flags students at elevated risk of dropout.
Linear regression projection to forecast academic outcomes.
Automated intervention suggestions based on student profiles.
Org-admin view comparing performance across all campuses.
Book a 30-minute walkthrough with our team, or explore the live demo yourself.