Higher Marks, Lower Learning? AI's Favourite Magic Trick
About this episode
The episode discusses the impact of AI on student learning and assessment, questioning whether it truly aids education or merely boosts scores.
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…
More episodes of AI in Education Podcast
- What schools and small business can teach each other about AI
- We've Read the AI Reports So You Don't Have To - Series 17, Episode 9
- Victoria Hedlund on AI bias: What every teacher needs to know
- More A's, More Fails: What AI Is Really Doing to Student Performance
- Flourishing in the Age of AI: Schools Putting Humans First
- Why One Law School Just Banned AI
Explore listener stats, chart rankings, contacts and more on the AI in Education Podcast podcast page.