
About this episode
Students are increasingly turning to LLMs (Large Language Models) to solve maths exercises and get feedback. In light of this, is there still a place for deterministic online assessment tools like STACK? In this episode, Michele and David argue that this problem is an opportunity for educators and developers to build better alternatives, potentially embedding generative AI features in STACK to provide a more interactive, conversational experience. They consider more generally how LLMs affect exams, curriculum decisions, and student motivation, noting uncertainty about future skills and warning against reactive curriculum changes while encouraging experimentation.
Get every episode summarized
Each time The IDEMS Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The IDEMS Podcast

296 – Navier–Stokes and What AI Means for Mathematics
The IDEMS Podcast
Sep 11, 202628:10completed

295 – Putting Climate Data Rescue into Practice
The IDEMS Podcast
Sep 8, 202627:21pending

294 – Reflections on Climate Data Rescue
The IDEMS Podcast
Sep 4, 202621:08pending

293 – The Problem of Zeros in Data
The IDEMS Podcast
Sep 1, 202613:56pending