HKDSE Chinese AI Marking: Paper 2 Writing Feedback and Teaching
How HKDSE Chinese AI marking supports Paper 2 writing: item-by-item marks against the official scheme, backed by the candidate's words, teacher keeps the final say.
Teaching articles
Practical guides for principals, vice-principals and panel heads. Every article is grounded in EDB Circular 221/2025 and updated regularly.
HKDSE English AI Marking: How to Give Paper 2 Writing Feedback
How HKDSE English AI marking supports Paper 2 writing: first marks on content, language and organisation, each backed by the candidate's own words.
IB AI Marking: Feedback for the IA and Extended Essay
How IB AI marking supports the IA and Extended Essay: it drafts criterion-referenced feedback, with teachers keeping the final call and integrity intact.
Maths AI Teaching: Step Diagnosis and Varied Practice
Two practical entry points for maths AI teaching: step diagnosis (AI shows where a solution went wrong, not the answer) and varied practice from student errors.
English Oral AI Practice: Increasing How Much Students Speak
The bottleneck in HKDSE English oral practice is the teacher-to-student ratio. AI voice tools let every student rehearse repeatedly before the exam.
Free vs Paid AI Education Tools: How Your School Chooses
Free AI education tools and paid plans each involve trade-offs. An honest look at the data risks: when free is enough, when paid is safer, and the three-year cost.
How to Trial an AI Teaching Tool: The One-Term Approach
Trial an AI education tool in one subject for one term before any whole-school rollout. Set a baseline, gather feedback and usage data, then let evidence decide.
What Is Generative AI: A Primer for Hong Kong Teachers
What is generative AI doing? A jargon-free primer for teachers: large language models predict the next word, so they write fluently yet can get facts wrong.
AI Hallucination and Classroom Verification: A Lesson for Teachers and Students
AI hallucination is when generative AI states wrong content with a straight face. Here is why it happens, and a classroom verification routine you can use.
Citizenship and Social Development AI Teaching: Verification and Issue Inquiry
Citizenship and Social Development rewards evidence, ideal for showing correct AI use: students gather positions with AI, then verify against sources beyond it.
Cognitive Science and AI Teaching: Attention, Engagement, Feedback, Consolidation
Cognitive science names four conditions for learning: attention, engagement, feedback and consolidation. Where AI helps a lesson and where it harms.
Writing AI into Your School Development Plan and Annual Plan
The EDB wants AI in teaching inside your school development plan, not beside it. Turn the five commitments into measurable SDP targets that feed both reports.
Setting Up a School AI Implementation Team: Roles and Running It
AI in teaching needs more than one person. Who belongs on a school AI implementation team, what each member owns, and how it keeps evidence for the reports.
Designing AI Sharing Sessions: Running the Three the Programme Requires
The programme asks for three teacher sharing sessions. Making them useful, not a formality: the rhythm and topics, who presents, and records as report evidence.
Writing and Enforcing a School AI Academic Integrity Policy
Students use AI on homework too. How to write a workable AI academic integrity policy: set allowed uses by assessment type, mark the process, adapt a skeleton.
Explaining School AI Use to Parents: Notices and Consent
When your school uses AI, telling parents up front beats reacting later. What a notice discloses, when consent is needed, and how to handle objections under PDPO.
Preparing the 2028 Final Report: Carrying Evidence from Midterm to Final
The final report is due 30 September 2028, the last reckoning of the funding. How evidence carries from the midterm and how to close out the five commitments.
Primary AI Literacy: Age-Appropriate Teaching and Activities
Teaching primary AI literacy at the right age: concrete, visual, right-or-wrong principles, how junior and senior primary differ, and two ready-to-use activities.
Cantonese AI Support: The Key to Choosing a Tool for Hong Kong Schools
Cantonese and Traditional Chinese support decides whether an AI tool works in Hong Kong classrooms. What to check across interface, speech and localisation.
AI Teaching in Special Schools: Meeting Special Educational Needs
Special schools qualify for the AI funding too. AI uses that fit special educational needs, care with data and consent, and how to set concrete report goals.
AI Marking Platform Comparison: A Buyer's Guide for Hong Kong Schools
Before your school buys an AI marking platform: five comparison criteria, the solution types on the market, and supplier questions to verify during a trial.
AI Education Software Buying Guide: What the Funding Programme Can Buy
An AI education software buying guide for Hong Kong schools: what the funding buys, four buying criteria, and how to avoid the packaged-solution trap.
Teacher AI Training Plan: A Three-Year Timetable from Basics to Open Lessons
A teacher AI training guide for Hong Kong schools: aligning training with the five deliverables, a three-year timetable, and how to measure results.
AI Open Lesson Checklist: 12 Things to Do Before and After the Demonstration
A full checklist for an AI open lesson: eight things to do before, two on the day, two after, and the four most common mistakes to avoid.
Student AI Literacy Activities: 10 Ideas That Meet the Programme's Requirements
Ten ready-to-use student AI literacy activities for primary and secondary schools, plus how to choose them and how to record results as report evidence.
HK$500,000 AI Budget Allocation: How to Set the Software, Hardware, and Training Split
How to split each school's HK$500,000 of AI funding: a budget framework, year-by-year spending, and the three most common mistakes to avoid.
Primary School AI Lesson Examples: Chinese, English, Maths, and General Studies
Primary school AI teaching in practice: lesson examples in Chinese, English, Maths, and General Studies, age-appropriate and built for Cantonese classrooms.
Six Cross-Subject AI Lessons for Secondary Schools: From Chinese Writing to Science Inquiry
Six cross-subject secondary school AI lessons, from Chinese writing feedback to science inquiry, with classroom steps and evidence for your report.
AI Marking and Teacher Workload: How to Really Cut Marking Time
Can AI marking really cut teacher workload? Where it saves time, where it cannot, how to run a school pilot, and how to measure the savings for your report.
A School AI Tool Data Privacy Checklist: PDPO Compliance
A privacy checklist before your school buys AI tools: how six PDPO data protection principles apply to AI, ten questions for vendors, and handling student data.
The Risks of a Packaged AI Solution: the EDB Reminder and How to Choose
The EDB urges schools to assess whether a packaged AI solution fits. The four risks of one-stop packages, a checklist to spot the traps, and how to buy well.
Preparing the 2027 Mid-Term Report: Gathering Evidence of AI Teaching
The AI funding programme's mid-term report is due 30 September 2027. Six kinds of evidence to gather from today, a simple filing system, and a backward timeline.