Education Use Case

Student Retention and Graduation Path Optimization

Identify high-risk students and automatically suggest personalized support resources to improve overall retention and graduation rates.

The Challenge

Universities struggle to identify students at risk of dropping out until after critical intervention points have passed.

AI Solution

ScholarPath analyzes attendance, grade history, and system engagement data to generate a Churn Risk Index for each student. This powers automated alerts to academic advisors.

Deployable Actions

LMS/SIS system data synchronization pipeline setup.
Risk Index calculated weekly for all students.
Action triggered: Automated email sent to advisors detailing recommended academic support resources.