Explore articles on AI in education, teaching strategies, and professional development from educators around the world.
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8 articles
While schools focus on academic integrity, students are turning to AI for emotional support, relationship advice, and mental health conversations. The research is clear. Most schools have no idea what to do about it.
Most schools now have an AI policy. Very few schools have teachers who have read it. The problem is not the people. It is the design. Here is what one educator did differently.
We have spent two years asking what AI can do for teachers. We forgot to ask the students. What they told us challenges the assumptions most schools are working from.
Concrete, honest conversations about AI in education. Al Kingsley on assessment and equity, Tom Raithby on building Chalkd with no coding background, and Matthew Wemyss on what school leaders are missing about student AI use.
Every AI EdTech product is a wrapper around the same foundation models. Forward-thinking schools are cutting the middleman and building bespoke tools with direct API access.
Schools are under pressure to develop student AI literacy, but the evidence from educational research and every major international framework is clear: teacher AI competency must come first. This article sets out why that sequencing matters and how to build it properly.
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When a school leader asks what good AI policy looks like, the honest answer is: it depends which framework you ask. The AI Literacy Audit Tool cross-references 33 of them. This article explains where they agree, where they diverge, and the specific gaps that appear most commonly when schools are audited against the full set.
You have an AI policy. You have run INSET sessions. But can you answer nine questions drawn from 33 international frameworks? The AI Literacy Audit Tool was built for school leaders who need answers, not more forms to fill in.