Liberated Learning: AI-Enhanced Classrooms for Transformative Education

Outline

1. Introduction: The promise and perils of AI in education (5 minutes)
- Brief overview of AI's potential in education
- Interactive poll: Audience's current use of AI in teaching

2. Overview of accessible AI tools for transformative learning (12 minutes)
- Showcase of 3-4 key AI tools
- Live demonstration of a tool
- Q&A: Audience shares experiences/concerns

3. Roadmap for leveraging generative AI (18 minutes)
- Flipped classroom approach with AI
- 4 types of AI-enhanced lesson designs
- Small group activity: Participants draft an AI-integrated lesson plan
- Share-out: Groups present their lesson ideas

4. Case studies: Successful AI implementations for educational equity (8 minutes)
- 2-3 diverse case studies
- Think-pair-share: How could these be adapted to participants' contexts?

5. Strategic AI integration and instruction (12 minutes)
- Present roadmap for AI integration in schools
- Introduce framework for AI instruction
- Peer discussion: Applying the roadmap and framework to local contexts
- Quick poll: Most valuable aspect of the roadmap/framework

6. Ethical considerations and challenges (3 minutes)
- Overview of key ethical issues
- Rapid-fire audience input: Potential solutions to ethical challenges

7. Q&A and wrap-up (2 minutes)
- Address remaining questions
- Final reflective poll: How participants plan to use AI in their practice

Engagement tactics:
- Interactive polls (3-4 times)
- Live tool demonstration
- Small group activities
- Think-pair-share discussions
- Peer discussions
- Rapid-fire input sessions
- Q&A opportunities throughout

Supporting research

1. Holmes, W., Bialik, M., & Fadel, C. (2019). "Artificial Intelligence in Education: Promises and Implications for Teaching and Learning." Center for Curriculum Redesign.

2. Dillenbourg, P. (2022). "The impact of artificial intelligence on learning, teaching, and education." European Commission, Joint Research Centre.

3. Reich, J., & Ito, M. (2017). "From Good Intentions to Real Outcomes: Equity by Design in Learning Technologies." Digital Media and Learning Research Hub.

4. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). "Intelligence Unleashed: An argument for AI in Education." Pearson.

5. UNESCO. (2021). "AI and education: Guidance for policy-makers." UNESCO Digital Library.

6. Baker, T., & Smith, L. (2019). "Educ-AI-tion Rebooted? Exploring the future of artificial intelligence in schools and colleges." Nesta.

7. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). "Systematic review of research on artificial intelligence applications in higher education – where are the educators?" International Journal of Educational Technology in Higher Education.

8. Cope, B., Kalantzis, M., & Searsmith, D. (2020). "Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies." Educational Philosophy and Theory.

9. ISTE AI in Education Network: https://www.iste.org/areas-of-focus/ai-in-education

10. Stanford University's Artificial Intelligence in Education Initiative: https://hai.stanford.edu/education