Where AI actually sits in a school, how to judge a system, and how to write and spend the AI Education Grant
Starting from the minute a pupil types "just give me the answer" — what a school-based AI learning platform has to do. Curriculum alignment, a scaffolded tutor, live teacher intervention, four layers of guarding, role permissions, encrypted personal data, data ownership, swappable models, report data and on-site support.
Keep readingThe AI Education Grant (『智』啟學教) gives eligible schools up to HK$500,000 to spend by 31 August 2028, in return for three subjects across two grades each, six teaching exemplars, three demonstration lessons and three sharing sessions. Here is a budget split that funds people over licences, worked backwards from the interim report.
Keep readingA procurement checklist you can paste straight into a tender. Exit cost, where the export button lives, the shape of the bill, whether the model can be swapped, and the boundaries around student data — with what a good answer sounds like and what should make you stop.
Keep readingSpecs, pricing, release order and support status in this system for 15 model providers
Keep reading28 lessons of teacher AI literacy: Transformers and the three training stages, then RAG, quantisation and running a model on the school network
Keep reading18 lessons on prompting for real classroom work: planning, question setting, marking, tiering, and what students themselves need to understand
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