AI Retention Engine 2026
Predictive Risk Radar
AI Predictive Student Retention & Early Warning Desk
Uses machine learning risk scoring to detect chronic truancy drift, late arrival patterns, and dropout indicators early.
High Risk Flagged
0
Critical Early Warnings
Avg System Risk Index
38.5%
System-Wide Health
Open Counselor Tickets
0
Active Academic Care Plans
Prevention Success
94.8%
Student Retention Rate
Active Counselor Intervention Tickets
1-on-1 guidance counseling tickets assigned for high-risk students
No Counselor Tickets Pending
All student attendance profiles are within healthy retention thresholds!
Open Counselor Ticket
Assign early warning action plan to guidance counselor
AI Risk Scoring Matrix
75% - 100% (Critical)
Immediate Ticket
50% - 74% (High)
Counselor Flag
25% - 49% (Moderate)
Watchlist
0% - 24% (Low)
Satisfactory
Student Retention Risk Score Directory
Real-time risk scores computed from biometric attendance, truancy, tardiness & clinic visits
| Student Name | Class | Attendance % | Late (30d) | Truancy (30d) | Sickbay (30d) | Risk Score | Risk Level |
|---|