AI
Student Success Centre
Predictive analytics for Horizon University — identify at-risk students before failure, dropout, or fee default.
High failure risk
1
Dropout risk
1
Fee default risk
1
Risk students
| Student | Programme | Failure risk | Dropout risk | Fee default | Graduation likelihood |
|---|---|---|---|---|---|
John Mbeki 221045678 | BSC-CS | 92% | 40% | 15% | 30% |
Paul Tjiueza 221034567 | BCOM | 74% | 35% | 74% | 52% |
Mary Kapena 221078901 | LLB | 55% | 80% | 22% | 48% |
Demo Student SC2026001 | BSC-CS | 18% | 12% | 25% | 86% |
Models combine attendance, marks, fee history, and engagement signals. Production deployments can use OpenAI or on-premise models with institution-specific training data.