SEI v2.1 capabilities
Dropout Risk Prediction Engine
Early warning algorithms that identify students showing signs of academic struggle or withdrawal before it happens.
Institutional Intelligence Dashboard
A high-level interface for administrators to track department-wide and campus-wide retention health.
Personal Student Dashboard
A student-facing panel to help individuals view their attendance progress, goals, and feedback directly.
Absenteeism & Presentism Analytics
Deep analysis tracking not just physical absence but also cognitive disengagement in class activities.
Dynamic Cohort Segmentation
Filter and group students by filtering between different schools, campuses, and academic programs dynamically.
Type I & Type II Error Mitigation Framework
Statistical modeling that minimizes false positives and ensures counselors target the students who actually need help.