Planning, marking, AI tutors, differentiation, flipped learning and oral practice
Using P4 Chinese (expository writing) and S2 Mathematics (linear equations) as examples, see how teachers start from a school curriculum unit and use AI to produce a lesson plan, slide outline, three-tier worksheets and reflection prompts in 30 minutes — with a reusable prompt structure.
Read moreThe 4-level hint ladder, Socratic questioning and teacher-set "hint ceiling" behind a scaffolded AI tutor — why answer-giving AI weakens learning, with dialogue examples from primary maths and secondary English.
Read moreHow AI marking works in three subjects — step-by-step maths marking (including handwritten photos), Chinese composition feedback against a rubric, English writing grammar and structure suggestions — plus the three checkpoints teachers must keep, with a rubric template.
Read moreThe biggest barrier to differentiation has always been time. This article shows how AI generates foundation, core and challenge tasks under one learning objective, plus adapted versions for dyslexia, ADHD and non-Chinese-speaking students, with a practical flow for assigning and tracking.
Read moreWhy spaced repetition (the SM-2 algorithm) beats last-minute cramming, how AI generates flashcards from lesson texts and schedules reviews by each student's performance, and how teachers use review data to find the class's weakest concepts.
Read moreFlipped classrooms usually fail because students "watched but did not absorb". See how AI turns any teaching video into subtitles, segment summaries, 3–5 check questions and misconception alerts, and collects student responses before class so lesson time goes to discussion and application.
Read moreSpeaking improves only by speaking every day, yet one teacher cannot listen to 30 students individually. This article walks through AI oral practice — scenario dialogues, speech-to-text, read-aloud models, pronunciation and fluency feedback — and how teachers use practice records to plan the next lesson.
Read moreAligned with the new primary Science curriculum, this article shows how teachers turn a topic into a complete inquiry activity in 20 minutes with AI — question, hypothesis, variables, procedure, safety notes, record sheet and extension — with three worked examples and an inquiry quality checklist.
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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