I enjoyed co presenting with Daire Maria Ni Uanachain both our presentations and recording of session will I think appear on the Data Lab Education Community Page
I don't think we are at an inflection point yet. Changes to learning and assessment should have arrived when the internet and search engines became ubiquitous.
Generative AI poses less of a threat to vocational training than to traditional academic sectors because vocational education relies on authentic assessment where learners must physically demonstrate practical capabilities rather than simply writing essays for these areas. Digital evidence capture, such as video recording practical assessments (e.g. solar panel installation or working at height), work really well for verification and quality sampling. Alternative assessments work in every other subject area too.
We are not talking about edge AI cases that were in the press this week that apparently threaten humanity. (though that will be this year's excuse for avoidance of any digital skills development)
The truth is getting teaching staff to change assessments rather than rely on 'AI Detection Engines' which don't work, is massively challenging. Bad practice is deeply entrenched. We still have academic staff who ask generations of students the same questions and that should have changed long before the advent of AI.
There is useful support from Qualifications Scotland and a host of other sources. I've listed some current ones in slide deck.
Hot of the press Glasgow Universities Toolkit for Reflecting on the Use of Digital and Artificial Intelligence (AI) Technologies in Learning and Teaching is included on this list.
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