The National Teaching Repository (NTR) has just won a prestigious national award for teaching and learning — the Collaborative Award for Teaching Excellence 2026 . Good timing, then, to bring together two things I've been enjoying lately: being part of the NTR board, and playing with AI to solve problems. I wanted to see what happened if I pointed some vibe-coding and some AI-assisted analysis at the repository itself. Could I surface patterns in the NTR that aren't obvious just from browsing it — the invisible web of who has worked with whom, and what the collective body of work is actually about ? Two small activities, one feeding into the other. Activity 1: Mapping co-author connections The first idea was simple: go through the NTR's FigShare listing and map the links between authors, to see the inter-connectedness that has organically built up over the years. The prompt I used was: I would like to go through the https://figshare.edgehill.ac.uk/The_National_T...
Robots and getting computers to work with the physical world is fun; this blog looks at my own personal experimenting and building in this area.