AI Professional Development for Teachers After the First Workshop
One AI workshop is not enough. Use rehearsal, classroom practice, coaching and evidence to decide what teacher support should come next.
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What comes after the first AI workshop?
The first workshop can introduce a tool, explain a school boundary or give staff shared language. The real test comes later, when a teacher has to use that learning with a class, make a judgement and know when to ask for help.
Attendance tells leaders who was in the room. A completion record shows who reached the end. Neither reveals how a teacher handled a real situation, which choices felt uncertain or what would help them improve.
The UNESCO AI competency framework for teachers connects professional learning with teaching needs, practical application, reflection, self-assessment and peer learning. The Education Endowment Foundationās implementation guidance describes implementation as a social and collaborative process that needs attention over time.
Neither source sets out one AI professional-development programme for every school. Together, they point beyond information transfer: focus the learning, rehearse it, try it, review what happened, adjust the support and follow up.
If staff still need a shared professional baseline, begin with our guide to AI literacy for teachers. Once that introduction has happened, the question here is simple: how does the learning continue?
Use a six-part cycle for continuing professional learning
One practical way to keep the learning moving is to organise it around six parts. This exact cycle does not appear in UNESCO or EEF guidance. The parts can overlap, and schools can return to them as teachersā needs and classroom contexts change.
| Part | What happens | Question for the next decision |
|---|---|---|
| Focus | Choose one role-relevant practice teachers need to develop | What should teachers be able to apply in their work? |
| Rehearse | Practise the selected use with a relevant example and feedback | What needs strengthening before classroom use? |
| Try | Use the practice in a bounded classroom context | What happened when the learning met the real setting? |
| Review | Discuss the evidence with a coach or peer | What does the example show, and what remains uncertain? |
| Adapt | Change the practice, example or support | What should continue, change or pause? |
| Follow up | Return to the agreed development need | What support or practice should happen next? |
Focus on one development need
Choose one teaching practice or professional decision that matters in the teacherās role. Make it concrete enough to picture in a subject, year group or classroom.
āUse AI more confidentlyā is too broad to rehearse or discuss. āAdapt an approved explanation for this class while keeping the learning objective intactā gives the teacher and reviewer something they can see and talk about.
Starting with the teaching need also protects professional judgement. The learning is not about using AI for its own sake. It is about deciding whether and how a permitted use supports the work teachers are already responsible for.
Rehearse before relying on the practice
Give teachers an example connected to their own work, then ask them to explain the choices they make. Feedback at this point can uncover uncertainty before the practice reaches the classroom.
Watching a demonstration is not rehearsal. UNESCOās framework includes hands-on work in which teachers analyse examples, design and implement activities, then reflect on the result. Teachers need to make decisions themselves, not simply copy a sequence shown by someone else.
If the example involves a generated lesson plan, worksheet or quiz, use the separate guide to reviewing AI-generated lesson materials. Keep that quality check separate from this professional-learning cycle.
Try it in one suitable classroom setting
Take the practice from a prepared example into one suitable teaching situation. Keep a short note of what the teacher intended, what happened and where they needed help.
Keep the first attempt small enough to observe. One classroom example can make the discussion more realistic, but it cannot prove that the same approach will work across subjects, teachers or settings. The aim is to learn enough to choose a sensible next step.
Existing school rules still apply. If a use raises a question about approved tools, data protection, safeguarding or assessment, follow the schoolās established route. Professional development should help teachers recognise those boundaries, not ask them to resolve every specialist question themselves.
Review the evidence with a coach or peer
Start with the teacherās reasoning, not the polish of the finished output. Ask what they were trying to achieve, what changed when they used the practice and what they would do differently next time.
The evidence may include a rehearsal example, a classroom artefact, a short reflection or notes from a coaching conversation. Each source reveals something different. None should be treated as a universal performance score.
A polished artefact can hide uncertainty. An imperfect first attempt can reveal thoughtful judgement. The conversation should help the teacher decide what to keep, what to change and where they need more support.
Adjust what happens next
The review should change what happens next. The practice might continue, change, pause or give way to another development need. The teacher may need a different example, more rehearsal, clearer feedback, extra time or help from a specialist.
EEFās implementation behaviours emphasise engaging people, uniting around the work and reflecting throughout implementation. The guidance is not AI-specific and does not validate one coaching model. It does support using what people experience to shape what happens next.
Keep the adjustment connected to the original teaching need. Changing everything after one difficult example makes it hard to know what helped. Ignoring the example because the session is over wastes what the teacher and reviewer have learned.
Follow up on the agreed next step
Return to the agreed development need after the teacher has had a reasonable opportunity to practise. Use the evidence, the support required and the importance of the decision to choose the timing.
There is no universal follow-up cadence in the approved sources. A weekly check may be too frequent for one practice and a monthly check too slow for another. What matters is that the learning does not disappear when the workshop or coaching conversation ends. Someone returns to the agreed next step and checks whether the support still fits.
What evidence helps leaders choose the next support?
Attendance is easy to record, but it answers only one question: who took part? To choose useful follow-up, leaders need evidence closer to the practice itself. UNESCO discusses practice, reflection, readiness gaps and practical performance, although this exact table is not part of its framework.
| Signal | What it can show | What it cannot show alone | Useful next question |
|---|---|---|---|
| Attendance or course completion | Who participated and who still needs access | Application in classroom practice | Who needs another route into the learning? |
| Rehearsal example | How a teacher applies the learning in a prepared task | Transfer to everyday teaching | What feedback or further practice is needed? |
| Classroom example | How the practice worked in one real context | General effectiveness or readiness to scale | What changed when the practice met the classroom setting? |
| Structured reflection | Teacher reasoning, uncertainty and support needs | Independent proof of impact | What should the next learning opportunity address? |
| Coaching or peer feedback | A second view of the practice and its context | A universal performance score | What should continue, change or be rehearsed again? |
Use the lightest evidence that can answer the question in front of you. More documents do not necessarily make the picture clearer. Each piece of evidence should have a purpose, be proportionate to the professional-learning decision and follow local expectations for workload and information handling.
A teacher does not need to prove success after one attempt. The evidence only needs to help the school decide what practice or support should happen next.
Keep coaching and peer review focused on the practice
Start with one agreed practice and one real example. Four questions are often enough:
- What were you trying to achieve? Return to the teaching need rather than beginning with the tool.
- What happened in practice? Compare the intention with the classroom experience.
- What changed or remained difficult? Name the uncertainty instead of smoothing it over.
- What should happen next? Agree one clear next step for practice or support.
This is a development conversation, not a verdict on a teacherās overall capability. Make room for the teacher to explain why they adapted, rejected or paused a practice. Choosing not to continue can be a sound professional decision.
Collaborative professional learning appears in UNESCOās framework through professional-learning communities, resource sharing and peer-to-peer learning. EEF also treats implementation as collaborative. Neither source shows that one universal coaching script will improve teacher or pupil outcomes.
The school still needs to name who coordinates professional learning and where specialist questions go. For a fuller account of how broad teacher capability connects with leadership and specialist roles, see Schools Donāt Need Every Teacher to Become an AI Expert.
Decide what support comes next
By the end of the cycle, someone should be able to make a support decision. Otherwise, the school has created another attendance record. Use the teacherās example, reflection and feedback to ask:
- Which practice needs another opportunity for rehearsal?
- What did the classroom example show about the teacherās current support needs?
- Which feedback should shape the next learning opportunity?
- Should the practice continue, change or pause?
- What support, time or example is needed next?
- When should the school return to this development need?
The answers may point to another rehearsal, a peer example, coaching, specialist clarification or a different development focus. They may also show that the teacher is ready to continue without more formal support.
Keep the decision close to what the teacher and reviewer have seen. A school-wide programme may need shared direction, but teachers will not all begin with the same role, context or development need. The next step should respond to the review, rather than sending every participant to the same session.
Frequently asked questions
What should schools do after introductory AI training for teachers?
Choose one role-relevant practice, let teachers rehearse it with feedback, try it in a suitable classroom setting and review what happened. Use that evidence to decide whether the practice should continue, change or pause, and what support is needed next.
How can schools assess professional learning beyond attendance?
Review evidence connected to practice, such as a rehearsal example, one classroom example, a structured reflection or coaching feedback. Treat each as evidence for the next support decision, not proof of wider effectiveness or a universal measure of teacher capability.
What should teachers rehearse before classroom use?
Teachers should rehearse one permitted, role-relevant practice linked to a real teaching need. Give them a chance to explain their choices, receive feedback and identify what needs strengthening before classroom use.
How should coaches review a classroom example?
Begin with what the teacher intended, compare it with what happened, discuss what changed or remained difficult and agree what should happen next. Review the reasoning and context, not only the finished output.
How should schools decide what professional-learning support comes next?
Use the selected practice, classroom evidence, teacher reflection and feedback to identify the smallest useful next step. That might be further rehearsal, coaching, a different example, specialist support, more time or a decision to pause the practice.
How often should schools revisit teacher AI professional learning?
There is no universal cadence in the approved UNESCO or EEF guidance. Revisit the development need after teachers have had a reasonable opportunity to practise and when the available evidence can support a useful next decision.
