Dropout Early Warning System

Highlighted Features

Automatically identify students who are at risk by comparing the age, discipline, attendance and GPA.


Address drop-out risk factors dynamically as the school year progresses and empower staff with warning indicators of at-risk students.

Notifications and triggers based on research conducted within Louisiana and research reported nationally.