Jisc Assessment and feedback working group meeting - 13 May by Sarah Knight

sarah_knight7 — 2025-05-11 20:39:26 UTC

How can institutions harness the potential of generative AI to design assessments that promote authenticity, inclusivity and academic integrity, while mitigating concerns around cheating and ethical use?

sarah_knight7 — 2025-05-11 20:39:57 UTC

In what ways should universities rethink their digital infrastructure, staff development and governance models to support the sustainable and equitable integration of AI into assessment practices?

sarah_knight7 — 2025-05-11 20:40:16 UTC

What role do you think students should play in co-designing AI-integrated assessment methods?

sarah_knight7 — 2025-05-11 20:40:43 UTC

Some argue that AI is overhyped, that it's more of a technological distraction than a genuine transformation. Could we be at risk of chasing innovation for its own sake, rather than solving real pedagogic problems?

Overcoming Resistance to AI Implementation in Higher Education

2025-05-13 12:10:43 UTC

What are the biggest barriers or resistance points when implementing AI assessment and feedback tools, and how can they be addressed?

2025-05-13 12:24:20 UTC

The potential for AI to provide continuous personalised feedback is often cited as a benefit - are there any longitudinal studies of the workplace implications of students trained to expect continuous feedback?

Aligning University Led AI Initiatives with Jisc’s Strategic Direction

2025-05-13 12:36:43 UTC

I'm leading a university-funded project that uses AI to support grading and generate personalised student feedback. The early results show substantial time savings for educators and positive student responses. Given Jisc’s strategic interest in responsible and transformative uses of AI in assessment, what pathways exist to contribute to Jisc’s future roadmaps on AI in education?