This stood out to me from an excellent piece by David Spendlove. Getting to grips with generative AI isn’t just a matter of technical training, it requires an extensive exercise in personal and professional reflexivity which needs to be communal as well as individual:
This is not simply a matter of upskilling; it is a matter of intellectual repositioning. Academics need the space and support to think critically about what AI means for their disciplines, their practices, and their roles as educators, before they can meaningfully scaffold and support that thinking for others. A training module delivered at scale addresses neither the complexity of that task nor the conditions under which academic work is currently performed. The expectation that academics will confidently guide students through terrain they have not themselves been supported to map is overly optimistic, whilst symptomatic of how teaching and learning is instrumentalised.
https://professordavidspendlove.substack.com/p/if-ai-literacy-is-the-strategy-the?utm_source=post-email-title&publication_id=8196905&post_id=192958735&utm_campaign=email-post-title&isFreemail=true&r=2rps1q&triedRedirect=true&utm_medium=email
Until this happens attempts to build institutional capability in using LLMs just will not work because it will prioritise the how over the why and what.
