Key points
- Openly licensed toolkit for values-led generative AI teaching in art and design higher education, funded by QAA and developed across three UK institutions.
- Named contributors include Ruth Powell (UAL) and Lucy-Ann Pickering (NTU), with Norwich University of the Arts as a partner.
- Structured around four design-cycle stages: research, ideation, experimentation and iteration, and design communication, with classroom-ready activities, case studies and values-based prompt cards.
Summary
This openly licensed toolkit supports art and design educators in integrating generative AI in a values-led, critically informed way. Developed through a QAA-funded collaboration across Nottingham Trent University, UAL and Norwich University of the Arts and published in March 2026, it provides classroom-ready activities, case studies and prompt cards organised around the four stages of a design cycle. The toolkit is directly usable in animation, graphic design, illustration and related programs without adaptation, making it one of the most immediately practical resources in the repository.
Related items
- Generative AI Advice Suite: Reconsidering Assessment, Maintaining Quality and Standards, and Quality Compass
- UAL position statement on AI in teaching and learning
Source
Source: Association for Learning Technology (ALT) blog ↗ (Sector Org)
Cite this item
Association for Learning Technology (ALT) blog (2026). ‘Art, Design and AI Educator's Toolkit: values-led generative AI in design education’, Association for Learning Technology (ALT) blog. Available at: https://altc.alt.ac.uk/blog/2026/03/values-led-generative-ai-in-design-education-a-toolkit-for-confident-critical-practice/
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