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:
Resources compiled by Stephen Taylor, Director of Innovation in Learning & Teaching. Stephen is on LinkedIN here. Find out more about the Western Academy of Beijing here.
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.
Prof. Maha Bali writes about AI in Education and Critical AI Literacies.
Dr. Sarah Elaine Eaton is an expert in Academic Integrity, and writes about the age of Postplagiarism as related to AIEd.
Prof. Ethan Mollick shares a lot of AI explorations and ideas, and writes on One Useful Thing.
Leon Furze has excellent resources about teaching ethics in the age of AI.
Dalton Flanagan has curated a powerful set of AI tools for Educators, and has been working with AI since before ChatGPT.
Joe Dale has great resources for AI in language classrooms.
Tricia Friedman has some great ideas about AI in terms of equity and inclusion.
Jungwon Byun is one of the leads at Elicit.org, and writes about AI in academic research.
Dr. Torrey Trust has great resources on the limitations of AI detection tools.
Tom Barrett provides lots of useful resources for AI in schools.
Sara Candela & Brian Lamb at The Optimalist write about attention in the age of AI.
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.