AI in education (full report)

How should students use AI?

10-minute chats on generative AI (June 2024)

'AI in education and beyond' LDCU podcast (April 2024)

'Teaching the unknown' LDCU podcast (July 2023)

AI for teaching and learning (staff presentation)

Generative AI tools for scientists (presentation)

Academic integrity

Link to the Monash AI resources: here and here

AI in education (actionable insights for educators)

AI in education (full report)

Please email Isabel Fischer (Isabel.fischer@wbs.ac.uk) or Leda Mirbahai (Leda.Mirbahai@warwick.ac.uk) if you have any questions or suggestions on the resources displayed on this page.

If you have any questions on the design of this page, please contact Reece Goodall (Reece.Goodall@warwick.ac.uk).

For the resources of an ongoing international AI in Higher Education community, where Warwick plays an active role, follow this link to the AI Thought Exchange (https://aithoughtexchange.org).

For a Warwick - Association of National Teaching Fellows collaboration, check out the output of case studies and ‘pearls of practical wisdom’ on the use of AI in the classroom here.

For ongoing Warwick-internal AI projects and to get involved, check out the Learning Circle AI in Education.

Generative AI: advice for students, produced by a student

External resource: AI TutoR, for students who want to make the most of AI during their studies

Assessments and feedback

RESOURCES AND USEFUL LINKS

Have you tried NotebookLM? It’s free (besides giving your data away). Here is a link to a series of three Podcasts which Isabel Fischer has created in less than two minutes by uploading her most recently published journal articles. You might agree with us that there is a gender bias with a perpetuation of male teacher/female learner stereotypes (the gender roles across podcasts seem the same and no choice by the user, at least in the free version). Also, some student feedback was: “It’s a chore to listen to two robots try to sound interested in the subject. I would prefer to read it myself if I was interested enough, rather than spending 20 mins listening to a fake podcast.” Still, worthwhile to trial to see how quickly (and accurately) the podcasts on those eight recent publications were generated. Advice for how to do it: It’s still a beta-version where, for example, rather than taking the title of the document from within the document, the two AI-moderators of the podcast use the label of the documents. Also, uploading the links to the publications did not work in this short free trial.

Teaching cases on AI:

• Evaluating the ethics of machines assessing humans
• Rho AI - Leveraging artificial intelligence to address climate change: Financing, implementation and ethics
• Podcast with Rho impact team and Isabel Fischer

Relevant articles and blogs:

• Jagged frontiers of AI in academic practice (Dominik Lukeš and Isabel Fischer, 2024)

• Is It Worth it? How Paradoxical Tensions of Identity Shape the Readiness of Management Educators to Embrace Transformative Technologies in their Teaching (Fischer and Dobbins, 2023)

• Evaluating AI’s ‘thoughts’ on sustainability

• AI in (higher) education: A call for sector-wide collaboration

• GenAI report (University of Oxford)
• Student Use Cases for AI (Mollick)
• The Russell Group have spoken – So, are you ready for September?
• Ethically deploying AI in education: An update from the University of Warwick's open community of practice
• Developing a formative feedback tool
• Pedagogic paradigm 4.0 - Bringing students, educators and AI together

Showcasing and/or reviewing use cases of AI in education:

• Queen's University Belfast

• Graphical abstract as a form of assessment (Andre Pires da Silva)

• Collaborating with AI - writing an assignment (Rob Liu-Preece)
• Sample AI Marking Criteria (PAIS) (Rob Liu-Preece)

• WJETT blog on integrating AI into the teaching practice (Neha Gupta and Susanne Beck)

• You can submit and/or view use cases of AI in education in the Advance HE AI Garage here.
• You can also showcase your use case or presentation on AI in education on this page. Please email Isabel.fischer@wbs.ac.uk or reece.goodall@warwick.ac.uk.

Further background information on the report and resources:

The report to the top left “Transforming Higher Education: How we can harness AI in teaching and assessments and uphold academic rigour and integrity” represents our full findings from students and staff across six themes: (1) Fundamental questions around AI in education; (2) Implications for teaching, including helpful links for educators; (3) Issues of academic integrity and ethical concerns; (4) Principles of assessments when embracing AI; (5) Using AI, including generative AI, for formative dialogue and feedback; and (6) Thoughts on potential future conceptualisation, development and integration of AI tools.