In November 2022 we held a webinar to introduce our maturity model for AI for education. The webinar expanded on the concepts discussed in our blog post A Maturity Model for AI in Tertiary Education.
This post is primarily for attendees of the webinar and aims to list the resources we mentioned. We’ve also included a few extra useful resources that expand on some of the topics.
Approaching and Understanding
General Introductions to AI in Education
If you are new to AI in Education we recommend two reports:
- Jisc’s Artificial intelligence (AI) in tertiary education
- Wayne Holmes and Ilkka Tuomi’s State of the art and practice in AI in education (2022)
If you’d like to explore AI use in other institutions we’ve created an AI Map:
- Jisc’s AI Map
The map also includes a link to submit new ideas for the map.
In the webinar we talked about understanding some core AI concepts, including bias and explainability.
We showed this demo to highlight AI bias:
We didn’t mention these resource in the webinar, but they are useful further reading:
- Hassan Khosravi et al’s Explainable Artificial Intelligence in education
Exploring the Human and Environmental Impact of AI
We briefly talked about the human and environmental impact of AI, and we’ll be producing more guidance on this in the future. In the meantime, if you’d like to explore this in more depth, we recommend the following:
- Kate Crawford’s Atlas of AI.
- Jisc’s Exploring Digital Carbon Footprints.
Exploring how AI is transforming other sectors
We discussed the healthcare sector as a good sector to explore, and suggested the following short article as a good starting point.
Experimenting and Exploring
Establishing an ethics process
In the webinar, we discussed Jisc’s ‘Pathways’ document as a great starting point for a process to assess whether you should proceed with pilots.
Not covered in the webinar, but if you would like to delve into this in more detail we’d recommend the following:
- Wayne Holmes, Kaśka Porayska-Pomsta’s The Ethics of AI in Education
We have a guest blog post on tips for running AI pilots:
- Rob Howe, University of Northampton’s Ten Tips When Conducting AI Pilots
In the webinar we discussed checklists for procuring, operating and monitoring AI, covered some existing checklists that might be helpful:
- The Institute for Ethical AI in Education’s The Ethical Framework for AI in Education
- Microsoft’s Responsible AI Impact Assessment Template
Not covered in the webinar, but here’s a link to a Microsoft blog post explaining their thinking:
We looked at University digital strategies – these were from a random sample of universities, and were strategies that mentioned AI:
- University of Wolverhampton’s Digital Strategy to 2025
- University of Nottingham’ Digital Strategic Delivery Plan
- University of Birmingham’s Digital Strategy
- University of St Andrews’ Digital Enabling Strategy
We talked about how the story of AI transforming education is still to be written, but we should learn from history:
- Audrey Watters Teaching Machines: The history of personalised learning.
Find out more by visiting our National centre for AI page to view publications and resources, join us for events and discover what AI has to offer through our range of interactive online demos.
For regular updates from the NCAI sign up to our mailing list.
Get in touch with team directly at NCAI@jisc.ac.uk