Objective

To develop an intelligent e-learning platform that adjusts the difficulty level of content, quizzes, or exercises dynamically based on a student’s performance and accuracy, ensuring personalized learning and optimal knowledge retention.

Key Features

Student Panel:

• Take quizzes, tests, or practice exercises

• Receive content that adapts in real-time to their performance

• Visual analytics showing accuracy, progress, and improvement areas

• Option to revisit concepts if performance falls below a threshold

Teacher Panel:

• Upload questions and categorize them by difficulty level

• Configure adaptive rules based on performance thresholds

• Monitor student progress and adjust learning paths if necessary

• Generate reports on overall class performance

Admin Panel:

• Manage users (students & teachers)

• Configure AI/ML parameters for adaptive learning

• Track system performance and accuracy of difficulty adjustments

• View analytics of most challenging topics across students

Tech Stack

Workflow (Step-by-Step)

1. Content & Question Upload

• Teachers upload course material, exercises, and questions

• Questions are tagged by difficulty level (easy, medium, hard)

2. Student Assessment

• Students attempt quizzes or exercises

• System records accuracy, response time, and attempts

3. Adaptive Difficulty Adjustment

• AI analyzes student performance:

  • High accuracy → increase difficulty level

  • Low accuracy → provide easier content or additional guidance

• Adjustments are made in real-time during quizzes or learning sessions

4. Feedback & Recommendations

• Personalized feedback is given based on mistakes or weak areas

• Suggested content is presented to strengthen understanding

5. Progress Tracking & Analytics

• Dashboards show:

  • Accuracy trends

  • Weak vs. strong topics

  • Adaptive adjustments made per student

• Teachers and admins can review overall performance trends