What if generative AI could be used as a reasonable adjustment for neurodivergent students?
That’s the question we explored in the latest episode of The VICTVS Podcast. Hosted by Carly Culver, the discussion featured Andy Gregory, COO of VICTVS, and socio-legal researcher Daniel Morgan, who recently published the paper ‘Reasonable Adjustments for Neurodivergent Students in Higher Education: Generative AI, Accessibility, and Mediated Authorship.‘
In the paper, Daniel argues that generative AI tools could significantly improve accessibility for neurodivergent students, functioning in ways comparable to traditional support mechanisms such as scribes. He suggests that AI can act as a form of scaffolding, helping students communicate their ideas while preserving academic authorship.
Drawing on his background in assessment and education, Andy offered an important counterpoint, exploring how institutions can balance accessibility and the use of generative AI while maintaining academic integrity. Together, they examined the opportunities and challenges associated with adopting AI in higher education, including accessibility, assessment integrity, bias, implementation hurdles, and the risk of overreliance on these tools.
To watch the full episode on YouTube, click the link below. You can also listen on Spotify or Apple Podcasts, and view the full transcript here. Make sure to subscribe to stay updated with the latest news in the education sector, and keep up to date with Daniel’s work by connecting with him on LinkedIn: Daniel Morgan, FCMI | LinkedIn
What role do you think generative AI should play in supporting neurodivergent students while maintaining academic integrity? Let us know your thoughts in the comments.
- Daniel Morgan’s recent paper on ResearchGate: Reasonable adjustments for neurodivergent students in higher education: generative AI, accessibility, and mediated authorship
- The University of Bristol vs. Abrahart ruling: University of Bristol v Abrahart: equality watchdog responds to judgment in landmark case | EHRC
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