The ILM AI Blog
Ideas on learning, teaching, and responsible AI
Notes from the team building intelligent learning machines, on the science of understanding, the craft of teaching, and how we build AI that earns its place in the classroom.
ILMINO brings guided reasoning to every lesson
ILMINO, our AI-powered learning platform for UK education, is designed around a simple principle: students learn more when they are guided to an answer than when they are handed one. Here is how it works in the classroom and at home.
Why answers alone do not teach
There is a long-standing finding in learning science: the effort of retrieving and reasoning is what builds durable understanding. We look at what this means for how educational AI should be designed.
Supporting teachers, not replacing them
The most valuable thing a teacher has is time. We describe how ILM AI is designed to give teachers more of it, by taking on the work that machines do well and leaving the work that people do best.
Building AI you can trust in education
Education is a setting where the stakes are high and the users are young. We set out the principles that govern how we build responsible AI, from privacy and transparency to the choice never to optimise for engagement.
Built for the UK curriculum, not adapted to it
Many educational tools are designed for one system and translated into others. We explain why ILM AI is built for UK education from the ground up, and why mark schemes and exam boards matter to how our AI reasons.
The future of learning we are building toward
A note on where ILM AI is headed. We believe the most important measure of educational AI is not how much it can do for a student, but how much it helps a student become able to do without it.
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Occasional writing on learning science, responsible AI, and what we are building. No noise, unsubscribe anytime.