Insights
Practical AI guidance for schools
Research-backed articles for leaders, teachers, and AI leads who need clear decisions, confident governance, and better implementation without the noise.
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UNESCO vs OECD vs EU AI Act: Where International AI Frameworks Actually Disagree
Three frameworks, three starting points, three blind spots
Most school leaders have heard of one or two of these frameworks. Almost nobody has read them side by side, and that is where things get interesting — because the gaps between them tell you as much as the frameworks themselves.
Relevant tags
Start here if you want the broader landscape before choosing what to prioritise in your own school.
Research
Framework analysis and evidence trends
Leadership
Governance, boards, and school strategy
Compliance
Risk, policy, data, and safeguarding
Strategy
Roadmaps, priorities, and implementation
CPD
Teacher confidence and professional learning
What the UK DfE AI Guidance Gets Right, And What It Misses
Pragmatic, but pragmatism has limits
The UK Department for Education's AI guidance was broadly welcomed. But place it alongside the other 32 international frameworks and its strengths become clear — and so do its gaps. Schools treating it as sufficient are exposed.
AI Governance in International Schools: Why Frameworks Written for National Systems Don't Fit
Operating in the spaces between national contexts
International schools do not operate in national contexts. They operate in the spaces between them — between curricula, regulators, and a dozen nationalities in a single classroom. National AI guidance was not written for this.
The 5 Most Common Compliance Gaps We See in School AI Audits
Structural blind spots that leave schools exposed
After processing hundreds of school AI audits, the same five compliance gaps appear again and again. They are not obscure technical failings — they are structural blind spots where schools think they are covered but are not.
Data Protection and AI in Schools: GDPR, FERPA, and the Gulf — A Cross-Jurisdictional Guide
When you introduce AI, data protection becomes operational
When you introduce AI into your school, data protection stops being a compliance formality and becomes a live operational concern. AI systems are data processing systems — and the data they process is your students' data.
AI Strategy vs AI Policy: Why Your School Needs Both
A policy is not a strategy. Most schools have confused the two
"We have an AI policy. We are covered." I hear some version of this in almost every school I visit. The AI question is not answered — it has barely been asked. Because a policy is not a strategy, and most schools have confused the two.
What Governors and Board Members Actually Need to Know About AI
Avoidance with minutes is not governance
Governors and board members have a genuine responsibility on AI, and most do not know what questions to ask. They do not need to be AI experts. They need to be informed questioners — just as they are on safeguarding, finance, and health and safety.
Building an AI Steering Group: Roles, Responsibilities, and a Template Terms of Reference
From AI policy to living practice
Every school needs someone responsible for AI — not in the vague, everyone-and-no-one sense that currently dominates, but in the structured, accountable sense that applies to safeguarding and financial oversight. Here is how to build that mechanism.
From Panic to Policy: A 90-Day Roadmap for Schools Starting Their AI Journey
A defensible position in three months
Most schools fall into what I call the panic zone: AI is happening, they need to respond, but the structures are not in place. The good news is you can move from panic to a defensible AI governance position in 90 days. Here is the roadmap.
How to Audit Your School's AI Readiness in Under 30 Minutes
A nine-dimension self-assessment you can run today
Many school leaders know they need to assess AI readiness but keep putting it off — too complex, no time, worried about what they will find. Here is the framework that lets you understand where your school stands in under 30 minutes.
What 'AI Competent' Actually Means for a Teacher in 2026
AI aware is not the same as AI competent
School leaders tell me their teachers are 'AI competent' because they attended a training session. They are not. They are AI aware — a different thing entirely. The gap between the two is where most schools' AI integration efforts fall apart.
5 Levels of Teacher AI Literacy: From Awareness to Architect
A progression model you can baseline staff against
We ask teachers to rate their AI literacy without giving them a framework for what the levels look like. Here is a five-level progression model — drawn from 33 international frameworks — that you can use to baseline staff and plan CPD.
Why AI CPD Fails: The 3 Mistakes Schools Keep Making
Investment goes in. Outcomes do not come out
Schools are spending more on AI CPD than ever, yet teacher competency is barely shifting. Three mistakes account for most of that failure — and they are systemic, baked into how schools approach professional development generally.
Prompt Engineering for Teachers: Beyond 'Write Me a Lesson Plan'
Prompting is a communication skill, not a technical one
Most teacher prompts fail because they are vague, generic, and ask AI to do the wrong job. Prompt engineering is not a technical skill — it is a communication skill, and teachers are better positioned to master it than most people realise.
The Case for Subject-Specific AI Training
Generic AI CPD ignores how teachers actually work
Two CPD sessions, two consecutive days, same school. The English department wanted to talk about academic integrity. The science department wanted to talk about efficiency. Generic AI CPD ignores how differently subjects experience AI.
I Built an AI Tutor. Here's What I Learned About What Teachers Actually Need
Building Project Athena, the Socratic AI tutor
I set out to build an AI tutor that forces students to think. Project Athena taught me more about what teachers actually need from AI than any framework document or policy paper ever has. Here are the lessons.
The DEEP Agent Framework: 5 Principles for Designing AI Tools That Actually Work in Education
A pedagogical design framework, not a technical one
Most AI tools built for education start with what AI can do and work backwards to find a use case. The result is technically impressive and pedagogically shallow. The DEEP Agent Framework starts the other way around.
AI Literacy Is Not Digital Literacy: Why Schools Need to Stop Conflating the Two
Different knowledge, different skills, different dispositions
"We already cover this in our digital literacy programme." The implication is that AI literacy is the next chapter of digital literacy. It is not. They are different things — and treating them as equivalent leaves students fundamentally unprepared.
What 33 International Frameworks Say About AI in Schools
And what most schools are missing
When a school leader asks what good AI policy looks like, the honest answer is: it depends which framework you ask. Between them, the frameworks that the AI Literacy Audit Tool cross-references number 33.
Is Your School AI-Ready?
The 9 Questions Every School Leader Must Answer
Picture the scene. It is a Tuesday afternoon board meeting. A board member leans forward and asks: "So — what exactly is our AI strategy?" These nine questions, drawn from 33 international frameworks, cover every dimension of school AI readiness.
Teacher AI Competency vs. Student AI Literacy
What Comes First?
The evidence from educational research, and the explicit position of every major international framework, is that student AI literacy cannot be effectively developed without teacher AI competency coming first. Not alongside. Not at the same time. First.