Class Analytics & At-Risk Intervention Matrix
Autonomous multi-factor early dropout & academic failure prediction engine
Class-Wide Concept Mastery Breakdown
Multi-dimensional learning outcome deficiency analyzer
Student MasteryTarget (80%)
Cohort Performance Trajectory
Historical assignment and examination performance trend
Your ScoreClass Avg
Identified At-Risk Students (1)
Flagged by AI Engine based on attendance velocity, assignment lag, and exam scores
Marcus Sterling
Risk Score: 78.4 / 100 • Tier: HIGHIdentified Risk Factors:
• Severe attendance deficit (< 60%)
• Multiple missed homework deadlines
• Struggling with Dynamic Programming concepts
AI Pedagogical Recommendation:
Schedule mandatory counselor check-in