+28%
Retention Rate
Improvement in student retention
95%
Early Warnings
At-risk students identified before dropout
+32%
Student Success
Improvement in course completion
-40%
Instructor Time
Reduction in administrative tasks
The Challenge
Learning Tree Academy, an online education platform, was losing students at an alarming rate. They had no way to identify which students were at risk of dropping out until it was too late. Instructors were overloaded and couldn't provide personalized attention to struggling students.
The Solution
Calimatic AI implemented a predictive retention system that analyzes student engagement, assignment completion, and learning patterns to identify at-risk students early. Automated interventions include personalized check-ins, resource recommendations, and alerts to instructors for students needing extra support.
The Results
Learning Tree saw a 28% improvement in student retention within the first semester. The early warning system catches 95% of at-risk students before they disengage, and instructors can now provide targeted support where it's needed most.
"We used to lose students and never know why until it was too late. Now we can intervene early and keep students on track. Our completion rates have never been higher."
Dr. James Park
Academic Director, Learning Tree Academy
Implementation Highlights
- Predictive analytics for student engagement
- Automated early warning alerts
- Personalized intervention recommendations
- Instructor dashboard for at-risk student tracking
- Automated check-in sequences for struggling students
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