Our research and learning about AI in Education (AIEd) began in 2021, with the release of Kai-Fu Lee & Chen Qiufan's book AI 2041. This book, set in 2041, imagines (mostly optimistic) AI futures. The adult characters of these stories could be the children in our classrooms today, making for compelling reading and learning. Many of the predictions made in the book are becoming quickly real. See chapter summaries and resources here.
There is a lot to learn about AI and the future of education. Here are some curated resources to help get you going...
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.
Once you've gone beyond testing a few tools out, it is well worth experimenting in these spaces to see how they are built, and how the coding works. Free to sign up, and you can really learn a lot from the people and spaces here.
