Research-Based Framework
Current research identifies five key strategies for effectively integrating AI in teaching:
1. Multiple Examples
Help students understand complex concepts through varied examples and contexts
2. Varied Explanations
Address different learning styles and levels of understanding
3. Misconception Addressing
Identify and correct common misunderstandings early
4. Low-Stakes Testing
Frequent opportunities for self-assessment and feedback
5. Distributed Practice
Spread learning and reinforcement across time for better retention
Step 1: Choose a Course Concept
Think of a concept from your course that students often find challenging. Consider:
- Topics where students frequently ask for additional explanations
- Concepts that benefit from multiple examples
- Ideas that build on previous knowledge
Step 2: Explore Student AI Usage
Current research shows how students use AI for learning:
Common Student Uses
- Writing support (36%)
- Brainstorming (29%)
- Understanding concepts (20%)
- Research assistance (14%)
Faculty Concerns
- Critical thinking impact
- Information accuracy
- Skill development
- Academic integrity
Explore Integration Strategies
Use the AI chat to explore how students might use AI to understand your chosen concept. Consider both:
Productive Uses
- Getting varied explanations
- Finding relevant examples
- Practice problem-solving
- Self-assessment
Potential Pitfalls
- Bypassing understanding
- Over-reliance
- Missing key context
- Accepting errors