Teacher AI Training Plan: A Three-Year Timetable from Basics to Open Lessons

Last updated: 2026-07-22

The most common way a school AI plan fails is that the tools get bought and teachers never use them. Training is not gathering teachers together for a product demo. It is a path that runs from the basics to open lessons across three school years. This article gives you a planning framework you can apply directly.

Teacher AI training should align with the five deliverables

The AI for Empowering Learning and Teaching Funding Programme asks schools to run AI-assisted teaching in at least three subjects (two year levels each), to develop at least six teaching demonstration examples, to hold at least three open or demonstration lessons and three sharing sessions, and to run two student AI literacy activities. Those five deliverables already draw the training roadmap. Every training session should move one of them forward directly.

The audience should not be set loosely as 'all teachers'. Start with the teachers who have to deliver: the panel heads of the three subjects and the teachers taking the relevant year levels, the teachers running the open lessons, and the teachers leading the student activities. Train this core group first, then let them spread it to the whole staff at sharing sessions, which can also complete the promise of 'three sharing sessions' at the same time.

A three-year training timetable

2025/26: building the foundation

The aim is to move core-subject teachers from 'has heard of AI' to 'uses it once a week in lesson prep or marking'. Content covers the basic principles and limits of AI (hallucination, bias), hands-on use of the tools the school has chosen, and one or two classroom uses per subject that work straight away. What this stage produces is a habit of use among teachers, and there is no need to rush into open lessons.

2026/27: deepening and open lessons

Plan lessons together around the six teaching demonstration examples, and complete most of the open and demonstration lessons. Preparing an open lesson is itself the best training. From the trial run to observation to the post-lesson discussion, the whole cycle turns tool use into a conversation about pedagogy. Our AI open lesson checklist sets out the steps.

2027/28: consolidating and accounting for results

The focus shifts to evidence of results: organising two years of lesson plans, student work, and usage data, and preparing the interim report of September 2027 and the final report of September 2028. Training topics shift accordingly to how to show results, and effective practices get written into school-based guidance so the gains carry on after the programme ends.

Four principles for designing a workshop

Design around the lesson a teacher actually has to teach next week, not abstract examples. When the session ends, they hold a usable lesson plan.
Give over half the time to hands-on work: teachers finish a piece of work for their own subject in the room, rather than watching a demo.
Small steps, many times: six one-hour panel sessions work far better than a single full-day event.
After each session, set a follow-up task and open a channel for feedback, so the next session starts from the real problems that came up in use.

How to measure the results of teacher training

What the report needs is not an attendance sheet showing that training was held, but the change the training brought. Three measures are easy to collect. First, usage: how often trained teachers actually use the tool each week (most platforms have back-end data). Second, output: the number of new lesson plans and teaching demonstrations created after the training. Third, confidence: measured with a short teacher survey before and after. The 'progress' column of the interim report draws on these three sets of data.

If a school does not have the staff to design and lead the whole training cycle itself, it can consider having an external provider design workshops around the school's own lessons. The point is that the content must be built on the tools the school has chosen and its actual curriculum, not a generic course.

Common questions

Can the funding be used for teacher training?

Yes. Circular Memorandum 221/2025 allows the funding to be used for the teacher professional development needed to run the programme. Keeping the training outline, attendance records, and the output that follows the training doubles as evidence for the report.

What if teachers resist AI?

Resistance usually comes from two fears: more work, and being replaced. The most effective response is to have the first session tackle the most time-consuming part of a teacher's job directly, such as marking or setting questions, so teachers save time themselves within an hour. Once a tool brings teachers a real benefit, they will bring it into the classroom.

Do all teachers in the school need training?

Not from the start. Concentrate first on the teachers in the three committed subjects, let them produce results, and then spread it to the whole staff through the three sharing sessions the programme requires. This order fits both the deliverables and the common sense of change management.

Sources

EDB Circular Memorandum 221/2025 (Chinese)

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