AI CPD for Teachers: Give Staff Room to Learn
By Daniel Pearson, Education AI Consultant and Director of Campus Mind. Published 4 October 2026.
Teachers are being asked to help young people navigate AI. They need time to explore it, ask questions and decide where it fits their own work.
A colleague might be curious but unsure where to start. Another might have tried a tool and received an unhelpful response. Both have something valuable to contribute to a school's introduction of AI. Practical professional development makes room for those experiences and turns them into useful next steps.
This was central to the staff-first introduction described in our Campus Mind implementation case study. Staff explored the platform before the wider student rollout, with training and feedback creating opportunities to refine the tools and guidance.
Start with a task teachers understand
Choose something familiar enough for teachers to judge the response. Asking a school policy assistant about an established procedure, adapting a lesson activity or organising an administrative draft can be more useful than a tour of every possible feature.
Make the purpose explicit. Which part of the task might AI help with? What does the teacher still need to decide? How will colleagues know whether the response is useful?
Campus Mind can support custom agents using approved school documents as context. That helps connect a training activity with the information and routines staff encounter in their own school.
Begin with approved materials and examples suitable for the session. This lets the group focus on learning the task and understanding the school's expectations for using information.
Model the thinking as well as the prompt
A demonstration becomes more valuable when the trainer explains the decisions they are making. Show why the task is suitable, what context is needed and how the response is checked.
For a lesson activity, that might mean checking the subject knowledge, deciding whether the wording suits the class and adjusting the task to fit the intended learning. If a response is poor, use it as an opportunity to explore why.
The DfE's Interacting with generative AI in education: module 2 includes material on using AI tools and checking their output. Those skills belong in practical AI CPD from the beginning.
Teachers bring subject knowledge, knowledge of their students and professional judgement to this process. A training session should give them opportunities to exercise that expertise.
Build in time to try, discuss and try again
A possible first session could follow a simple pattern:
- Agree one familiar task and the intended result.
- Watch a short demonstration, including the checking process.
- Try the task individually or with a colleague.
- Compare responses and discuss useful changes.
- Choose a small follow-up task to revisit before the next session.
Keep the exercise manageable. Staff should have time to notice what happened and improve their approach, rather than rushing through a list of features.
The EEF's Effective Professional Development guidance highlights mechanisms including revisiting prior learning, goal setting, feedback and action planning. Using those principles to design AI CPD means giving a demonstration a place within continuing professional learning.
Make honest feedback part of the process
A teacher should feel comfortable saying that an answer missed the point, a workflow added effort or they would like another demonstration. Those observations help the school understand what staff actually need.
Ask specific questions: Which part helped? What did you change? What would make the task easier next time? What still feels uncertain?
Within Campus Mind, feedback can inform the guidance given to agents, the approved knowledge they use and the training offered to colleagues. A school may discover that a small adjustment is more useful than introducing another tool.
Treat scepticism as a chance to understand the task and improve the support. Give colleagues room to judge what is useful in their own work and share what would improve it.
Connect staff learning with student learning
When teachers experience AI as questioning, thoughtful users, they are better placed to explain those expectations to students. They can model checking an answer, asking a more precise question and recognising when further human help is needed.
Campus Mind's aim is to support students to THINK with AI, with guidance that keeps their learning active. Staff experience helps schools decide what that should look like in practice.
Before extending student access, revisit the expectations for tasks, checking, school oversight and asking for help. Our staff-first implementation guide explains how this preparation fits into a wider introduction.
Choose a useful first conversation
Ask colleagues which familiar task they would like to explore and what support would make the first attempt easier. Use their answers to plan a focused session, then come back to what they learned.
Giving teachers room to practise and question AI helps a school build an approach shaped by the people who will use it. Explore Campus Mind or read our implementation case study to see how practical staff development can support a wider rollout.
References
- EEF: Effective Professional Development General professional development guidance, published 8 October 2021. It does not evaluate Campus Mind or AI CPD specifically.
- DfE: Interacting with generative AI in education, module 2 Training materials updated 19 May 2026; the linked module covers interacting with AI and checking outputs.
- Campus Mind implementation case study Campus Mind's account of its staff-first introduction.