AI analyses score trends across terms to surface students who are improving, declining, or at risk — with actionable intervention recommendations.
AI categorises each student into one of three performance trajectories:
📈
Improving
Scores trending upward across subjects over recent terms.
➖
Stable
Consistent performance with no significant changes.
📉
At risk
Declining scores or repeated absences flagged for intervention.
View aggregate performance patterns for any class:
When the AI detects at-risk students, it suggests targeted strategies:
💡 Tip
Act on recommendations early in the term. Interventions applied in the first 3 weeks show the highest impact on end-of-term results.
Compare performance across terms and sessions to measure the impact of teaching interventions and curriculum changes. The trend view places multiple periods side by side with percentage change indicators.
