Automated Lesson Evaluation for Mentors

The Challenge

Assessing mentor-led lessons manually was resource-intensive and subjective, making it difficult to maintain consistent teaching quality.

The Solution

All recorded lessons were transcribed and analyzed by AI, which evaluated factors like session structure, mentor energy, clarity of explanations, and student engagement. The system generated detailed reports and performance insights for academic administrators.

The Results

• Standardized mentor performance evaluation
• Provided actionable improvement recommendations
• Saved hundreds of hours in manual review time
• Estimated cost reduction: up to 70% in quality control and lesson auditing costs