Performance or learning?
When students use AI, do they learn more, or do they only produce more?
Seventeen recent studies that tried to measure what students could do once the AI was taken away.
Season 01 · AI in teaching and learning
A space where university educators talk through teaching, learning and technology. Every issue starts with a question, gathers the recent research that bears on it, and asks colleagues what they make of it.
Performance or learning?
Seventeen recent studies that tried to measure what students could do once the AI was taken away.
Season 01 · Twelve questions, one every two weeks
Does AI help students learn, or only help them produce?
What thinking students hand to AI: dependence, critical thinking, metacognition.
Cheating, AI detectors, and the policies that define acceptable use.
Oral exams, in-class tasks and process-based assessment, and whether they work.
Can AI give feedback, grade work or write exam questions well, and do students accept it?
How students really use AI, and the limits of survey research.
Purpose-built AI tutors and simulations, compared with general chatbots.
What AI does to student writing, ownership and voice.
Student emotions, trust in AI, wellbeing, and the human side of the classroom.
What students need to know to use AI well, and who ends up able to.
How AI changes faculty work, course preparation and the teacher's role.
How disciplines and degrees are redefining what graduates must be able to do.
How it works
Each issue opens with an honest question about teaching, not a verdict. The research is where the conversation starts.
A short and a long edition, an audio conversation, and a link to every study, so you can judge the evidence yourself.
Respond under your own name, online or at the lunch and learn that follows each issue. Challenge the findings as much as you like.