The resources on this page are curated for the NEASC Panel on Teaching Tomorrow: Unleashing The Power Of AI in Education. During the session, loads of great resources were shared by panelists and participants here, and the recording is here.
Feel free to explore the rest of this Guide (top-tab navigation), to see more of our resources and approaches to AI (so far) at WAB. WAB is currently on the IB-NEASC Collaborative Learning Protocol (CLP), using ACE 2.0, and the CIS Pathway 2 Deep Dive (Global Citizenship & Intercultural Learning) pathways for self-study and peer evaluation.
Some pages relevant to the panel discussion:
Some food for thought in these demonstrations of GenAI.
If you only have time to read one thing, read this guide.
1. What is GenAI & how does it work?
2. Controversies & Implications for Education
3. Regulating GenAI in Education
4. Towards a Policy Framework for Education & Research
5. Facilitating Creative Use of GenAI in Education & Research
6. GenAI & the Future of Education & Research
The graphics below are adaptations from the Policy section.
Joe Dale has great resources for AI in language classrooms.
Tricia Friedman has some great ideas about AI in terms of equity and inclusion.
Tom Barrett provides lots of useful resources for AI in schools.
The University of Kent's Digitally Enhanced Education webinars feature loads of great presenters from around universities.
How might the ACE 2.0 Learning Ecosystem from NEASC help shape our thinking about adapting to the age of GenAI? Try these two demonstrations of GPT tools at work on the ACE 2.0 documents.