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Higher Marks, Lower Learning? AI's Favourite Magic Trick

July 18, 2026 · 52 min

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Higher Marks, Lower Learning? AI's Favourite Magic Trick

This week, Ray and Dan unpack a bumper collection of AI in education news and research, all pointing to one critical question: Is AI helping students learn…or just helping them score higher?

The episode begins with a striking case from Brown University, where a take-home exam averaged 96%, only for the same cohort to average 48% in a supervised final. From there, Ray and Dan explore what the latest research says about AI-assisted assessment, automated marking, AI tutors, critical thinking, and the growing importance of student agency.

They also discuss:

  • New evidence on AI marking compared with human examiners
  • Research showing how guided AI tutoring can improve maths learning
  • Why critical thinking is the biggest predictor of successful AI use
  • The risks of "never-skilling" when students rely too heavily on AI
  • AI detectors: what they can (and can't) reliably tell us
  • New Australian data on AI's impact on employment
  • The latest Digital Education Council survey of university students
  • Online safety and the growing challenge of AI-assisted image abuse

As always, the episode is packed with practical insights, research summaries, and plenty of discussion about what all this means for educators, schools and universities.

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