Feature

Predict & Prevent Student Dropouts

AI-powered predictive analytics identify at-risk students before they drop out. Enable timely interventions and improve institutional retention rates.

How AI Prediction Works

1

Data Collection

Gather academic, behavioral and engagement data

2

AI Analysis

Machine learning models identify patterns

3

Risk Scoring

Calculate risk score for each student

4

Intervention

Alert advisors for targeted support

What the System Analyzes

📚

Academic Performance

GPA trends, grade changes, course failures

📊

Attendance

Class attendance patterns and absences

💬

Engagement

LMS activity, participation, interaction levels

💰

Financial Status

Fee payment patterns and outstanding dues

⏰

Behavioral Patterns

Late submissions, assignment completion

🎯

External Factors

Demographics, first-gen status, work status

Proven Impact

↑ 15-25%

Improved retention rates with early intervention

↑ 20-30%

Better graduation rates and completion

↓ 40%

Reduced student intervention workload

Start Predicting & Preventing Dropouts Today

Aveon's AI-powered retention system helps you identify and support at-risk students.

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