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Alternative pathways for addressing generative AI, and what might be blocking those pathways?

Holtham, C. ORCID: 0000-0002-2497-8455 (2023). Alternative pathways for addressing generative AI, and what might be blocking those pathways?. Paper presented at the International Federation of National Teaching Fellows (IFNTF) Symposathon Conference, “Augmenting Teaching Excellence: Embracing the future of Education with AI and Emerging Technologies”, 4-5 Dec 2023, Online.


In less than a year, the academic community globally has moved unusually fast to address the issues arising from generative AI (GenAI), which has many potential benefits for both faculty and students. But authoritative advice balances those benefits against the problems caused, not least the breadth of ethical issues arising. In the second year of GenAI in academia, more divergence may be seen between innovatory and incremental pathway institutions. Workforces can and do support or resist change, so any change pathway needs to understand and address how to overcome resistance. The paper concludes that the most significant innovative pathways for GenAI cannot be achieved through managerial fiat alone, and need to overcome a cocktail of ad hoc plus deliberate efforts to constrain innovation. One essential component identified is an urgent need for a new form of online global community of practice around the AI dimensions of teaching and learning.

Publication Type: Conference or Workshop Item (Paper)
Publisher Keywords: Pedagogic strategy, transformation, resistance, GenAI
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Bayes Business School
Bayes Business School > Management
SWORD Depositor:
[thumbnail of IFNTF SYMPOSATHON PAPER FINALHolthamA4.pdf]
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