Student safety, privacy, data ownership and deployment
Comparing on-premises (school server / private cloud) and cloud hosting for an AI learning platform — cost, maintenance, update speed, data location, compliance and portability. Spoiler — with either option the data belongs to the school, can be downloaded in full at any time, and can be reached through the school's own domain.
Read moreWhen primary pupils use AI, schools worry about three things — inappropriate content, personal data leaks and no oversight. This article lays out a workable architecture — input guard, system prompt, output review, audit & quotas — plus PII encryption, no-training terms, human review and PDPO mapping.
Read moreGeneric AI does not know your school rules, pacing or notice format. A school knowledge base uses RAG (retrieval-augmented generation) so the AI searches school documents before answering and cites its sources. This article covers how it works, what to upload, permissions and export, and six use cases for teaching and administration.
Read moreSpecs, pricing, release timelines and platform support status for 15 major model providers
Read more28 lessons of teacher AI literacy: from Transformers and the three training stages to RAG, quantisation and local deployment
Read more18 lessons of classroom prompting: planning, question setting, marking, differentiation and student prompt literacy
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