Education and Training
AI That Predicts and Prevents Dropouts
goal
Challenge Faced
Educational institutions struggle to identify at-risk learners until it’s too late, leading to poor outcomes and lower course completion rates.
solution
Our Solution
We created AI performance analytics dashboards that track learner behavior and predict who may struggle or drop out.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Collect learner interaction data (attendance, test scores, LMS logs).
Step 2
Predictive models flag at-risk students.
Step 3
AI recommends targeted interventions (extra materials, tutor support).
Step 4
Teachers monitor via dashboards
Quantifiable Benefits
Reduction in dropout rates
%
Higher student success rates
0
%
Improved teacher intervention timing
%
Better accreditation outcomes for institutions
%
Who’s Using This
Georgia State University (AI dropout prediction)
EdTech platforms like Blackboard & Canvas analytics
Global online universities
Why It Matters
Proactive intervention saves learners before they fail, improving institutional success metrics.