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“Good enough” hands-on faculty reskilling for GenAI: addressing the crisis facing higher education

Generative AI poses a major challenge to higher education, given two of its core rationales relate to knowledge discovery and dissemination. In professional disciplines like management, there is a further challenge arising from already-changing industry practices, impacting on employers’ expectations of graduate attributes. Yet most universities are not well placed to fund substantial reskilling of its own workforce in their personal use of generative AI. This hands-on faculty workshop explores a method based on 10 hours of self-paced, hands-on exposure to generative AI. Since this addresses a fraction of the reskilling ideally needed, we have described it as “good-enough”.

Linlan Huang
Birmingham City University
United Kingdom

Clive Holtham
Bayes Business School (formerly Cass), City St George’s, University of London
United Kingdom

Martin Rich
Bayes Business School (formerly Cass), City St George’s, University of London
United Kingdom