Future Tense Learning how to learn in the age of generative AI
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Nov 6, 2025 Guest
Professor Dragan Gasevic
Guest
Professor Rupert Wegerif
Guest
Professor Phillip Dawson
Guest
Neil Selwyn
In an engaging discussion, Professors Neil Selwyn, Phillip Dawson, Rupert Wegerif, and Dragan Gasevic tackle education's evolving landscape in the wake of generative AI. They explore the initial panic in academia, the challenges of assessing student abilities when AI can produce work, and the push for critical thinking through dialogue. The experts propose that AI can act as a learning partner rather than a shortcut, while also warning against over-reliance. They emphasize the need for robust evidence on integrating AI in education, focusing on promoting deep learning over mere outputs.
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Mixed Academic Reactions To AI
- Generative AI triggered initial panic about cheating but concerns have moderated over two years.
- Neil Selwyn says universities face varied reactions from resistance to enthusiastic adoption.
Accept Iteration Over Perfection
- Try multiple 'good enough' approaches rather than seeking a perfect assessment fix.
- Phillip Dawson urges institutions to accept experimentation and iterative solutions.
AI Use Spans Enthusiasm To Resistance
- Staff responses to AI form a spectrum from outright bans to routine use in admin tasks.
- Neil Selwyn highlights everyday adoption like AI suggestions in editors and LMS tools.