Table 4 Purposes of using AI in intelligent tutoring systems
Purpose | Description | Count |
|---|---|---|
Performance Prediction | Leverage machine learning algorithms to predict learners’ outcome performance | 13 |
Learning Behavior Analysis | Leverage system’s log to perform clustering and come out different learning behaviors | 9 |
Engagement and Dropout Prevention | Detection of dropout risks by leveraging machine learning programs | 5 |
Provide Intervention | Provide necessary intervention by learning behaviors identification | 3 |
Adaptation/Personalization | Provide personalized training episodes to improve learners’ performance | 5 |
Instructors’ Support | Provide information (like emotions) to help instructors adopt actions for helping learners | 4 |
Tutoring Systems Assessment | Evaluation the performance of the tutoring system for future enhancement | 2 |
Self-Regulation Learning Improvement | Evaluate the improvement of Self-Regulation Learning capability by survey | 2 |