- Natural Language Processing (NLP): NLP techniques are used to analyze text-based learner inputs, such as discussion posts or written assessments. These techniques help in assessing learner sentiment, providing automated feedback, and identifying areas of misunderstanding.
- Reinforcement Learning: Reinforcement learning techniques are used in adaptive learning environments, where systems continuously learn from interactions with learners to optimize content delivery. The system "learns" the best ways to keep learners engaged and improve learning outcomes.
- Rule-Based AI Systems: These systems use predefined rules to analyze learner data and make decisions, such as triggering alerts for at-risk learners or recommending resources based on learner progress.