Learn more:
apps.dataii.com/ai/explorer/
AI Instructional Framework as a theoretical model for comprehensively exploring the diverse interactions between human and artificial intelligence (AI) agents in educational settings. As AI technologies continue to evolve rapidly, their integration into education offers unprecedented opportunities to enhance teaching and learning experiences. Through a systematic examination of various learning scenarios, this framework provides a nuanced theoretical understanding of how AI can be leveraged to support and transform educational practices.
Summary of Categories and Interactions
1. Human Instructor to Human Student • Traditional instruction • Teacher applies pedagogical methods to engage students
2. Human Student to Human Student • Peer instruction • Students inform and teach each other
3. Human Student to Human Instructor • Student teaching • Students prepare and conduct teaching sessions under instructor supervision
4. Human Instructor to Human Instructor • Instructional peer sharing • Instructors collaborate on teaching practices
5. Human Instructor to AI Student • Teaching practice • Instructor teaches AI students to practice pedagogical methods • Adaptive instruction development provides feedback to improve AI tutoring capabilities
6. AI Instructor to Human Student • Adaptive instruction • AI system provides personalized learning experiences
7. Human Student to AI Student • Tutoring simulation • Student explains concepts to AI system, reinforcing their own understanding
8. AI Student to Human Student • Informal adaptive instruction • AI peer provides support and assistance to human students
9. Human Instructor to AI Instructor • Co-teaching simulation • Human instructor practices collaborative instruction with AI system
10. AI Instructor to Human Instructor • Instructional exploration • AI collaborates with human instructors on curriculum development and assessment
11. AI Instructor to AI Student • Instructional simulation • Fully simulated classroom for pedagogical research
12. AI Student to AI Instructor • Research simulation • AI student teaches or presents to AI instructor for research purposes
13. AI Student to Human Instructor • Field supervisor simulation • AI simulates student teaching for human supervision practice
14. Human Student to AI Instructor • Student teaching simulation • Student practices teaching in a simulated classroom with AI instructor
15. AI Student to AI Student • Simulated peer instruction • AI students exchange information to improve knowledge bases
16. AI Instructor to AI Instructor. Peer sharing simulation. AI instructors analyzing learning analytics or demonstrating co-teaching methods.
by Szymon Machajewski
30 сен 2024
