Fifteen years engineering education that demonstrably works — curriculum, assessment, and the unglamorous systems underneath. I treat AI as the next great research science, and applied neuroscience as the discipline that decides what it does to us.
I build the thing, then I write down what happened — at The EdJournal. Currently finishing an MSc in Applied Neuroscience at King's College London.
A year-long body of work on AI in education: a framework, a position paper, a state-of-use review — culminating in a complete K–12 AI curriculum, designed end to end.
Trained an AI marking system on real exam papers and anonymised student responses, then went looking for its biases. Finding out where it breaks is the finding.2
A chemistry assistant producing the full teaching content stack — lesson plans, differentiated tasks, guidance through complex practical work. Built, used, iterated.
Advisory, speaking, collaboration — or an argument about where AI and learning are actually going. I'd rather have the argument. shilpakapur@outlook.com
1.Deliberately, anyway. Plenty of people are making it by accident, at scale, right now.
2.The model was confidently wrong in a beautifully consistent pattern. That pattern is now a human-in-the-loop check.
3.Powder coatings. Genuinely fascinating. Nobody believes me.