What you will learn
- Run AI adoption as an iterative improvement cycle, not a one-off launch.
- Measure what matters and publish it back to the community.
- Complete your school's readiness self-check and plan the next cycle.
A framework that cannot be revised is already out of date, because the tools change every few months. This final module makes review a habit and gives you the self-check to run it.
Iterative cycles, not a launch
Treat adoption the way the TeachAI toolkit does: as repeating cycles of plan, act, review, and adjust. Each cycle is small. You try something, you look honestly at what happened, and you change one thing. A school on its third cycle is far ahead of a school still polishing its first policy, because it has learned things no policy could have predicted.
Measure what matters
Pick a few honest measures and watch them over time. Not vanity metrics like tools purchased, but signals that the framework is working:
- Staff confidence using AI on their own tasks, surveyed simply at the start and end of a term.
- The number of classrooms with approved, active practice, and what they are learning.
- Integrity incidents, and whether they fell after assessment was redesigned.
- Whether every student can reach the tools, measured honestly against the equity checklist.
Then publish what you find back to staff, students, and parents. Transparency is itself a governance control: a community that can see the measures trusts the programme, and a programme that is watched improves.
Run your readiness self-check
The interactive tool on the course home page turns the five core pillars into a live self-assessment. Set your honest level on each, watch the readiness shape fill out, and use the weakest pillar as the agenda for your working group's next cycle. There is no passing score. The value is in the conversation it starts.
Bring this framework to your school
Adrian Dunkley, the AI Boss, trains teachers and school leaders to adopt AI with confidence, from the one-page policy to the classroom moves and the board-level case. Book a session, a workshop, or a full rollout plan.
Contact the AI Boss ↗What the frameworks say
TeachAI frames the entire effort as iterative improvement cycles that build on each other. The NCEE leadership framework pairs short-term and long-term strategy, and the Australian Framework's Accountability principle asks schools to monitor, evaluate, and continuously improve their use of AI.
- TeachAI: AI Guidance for Schools Toolkit (TeachAI (Code.org, ETS, ISTE, Khan Academy, World Economic Forum))
- Framework for AI-Powered Learning Environments (National Center on Education and the Economy (NCEE))
- Australian Framework for Generative AI in Schools (Australian Government, Department of Education (2023))
Sources for this module
- TeachAI: AI Guidance for Schools Toolkit, TeachAI (Code.org, ETS, ISTE, Khan Academy, World Economic Forum). https://www.teachai.org
- Framework for AI-Powered Learning Environments, National Center on Education and the Economy (NCEE). https://ncee.org
- Australian Framework for Generative AI in Schools, Australian Government, Department of Education (2023). https://www.education.gov.au/schooling/resources/australian-framework-generative-artificial-intelligence-ai-schools