AI Student Monitoring
Spot at-risk students before grades slip.
Edullent's risk predictor scans attendance, scores, score trends, and fee patterns to surface students who need attention — weeks before report cards do.
See it in the Owner PortalRule-based predictions you can trust
Every risk score is computed from real numbers, not generated text. The model weighs attendance (40%), score average (35%), score trend (15%), and fee defaults (10%) into a single probability between 0–100. No hallucinations, no surprises.
- Critical / High / Watch / Safe risk tiers with clear thresholds
- Each prediction shows the exact factors driving the score
- Updates live as attendance, scores and fees flow in
Built for principals and owners
The Owner dashboard rolls risk up across all branches in your network so you see where intervention budget should land first. Principals get a per-class view with one-click actions: schedule parent meeting, assign mentor, log intervention.
- Branch-level and class-level risk heatmaps
- Drill from network → branch → class → student in three clicks
- Intervention log keeps every action traceable
Designed for parent trust
Parents see a friendly, deterministic explanation of how their child is tracking — no scary AI jargon. When a child slips into the Watch tier, the parent dashboard shows the specific subjects and the exact attendance pattern, alongside a recommended action.
- Plain-language risk summaries written from data
- Direct link to teacher messaging when action is needed
- Weekly parent-facing report keeps families in the loop