Artificial Intelligence in Education
For our ongoing 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
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:
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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)
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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:
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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)
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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.
![AI report diagram](ai_image.png)
Below the full report to the left there are “Actionable Insights for educators to support teaching, learning and assessments”, summarising the above report for three aspects: (1) Teaching and Learning; (2) Formative Feedback; and (3) Assessments. In the left column, below the "Actionable insights for educators", there is a staff presentation on "AI in the classroom". Below this presentation, there is the same report as the one on the top left, but in a Word format. This is for easier re-use of information. Please reference/acknowledge the source when re-using material.
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).