Understand how GenAI is reshaping learning and formative assessment.  Generative AI is changing how learners engage with language – and raising tough questions about assessment. If students can lean on GenAI, how do we still see what they truly know and can do? Our Assessment Evolved report explores how formative assessment can evolve in response. With the right design, GenAI doesn’t undermine learning – it can enhance reflection, strengthen feedback and deepen language use.

Language is central to learning. Across many contexts worldwide, schools and classrooms bring together learners with diverse linguistic backgrounds and identities. This diversity enriches communities but also requires careful decisions about which languages are used in education, and how. In multilingual contexts – including those shaped by colonial histories or high mobility – these decisions are often complex.

What are the burdens and benefits that GenAI technologies and the policies designed around these technologies create, and are these burdens and benefits fairly distributed among students, on the one hand, and teachers, on the other? More generally, can assessment be fair or be made to be more fair in the age of GenAI? These are the kind of questions that the Fair Educational Assessment in the Age of GenAI (FAIR-ASSESS) project at Leiden University tries to answer.

What new research tells us about the pedagogical perils of "dehumanised" feedback

Quiet quit your TEFL job? Here's how to fall back in love with teaching using Action Research - turn your classroom into a laboratory and rediscover curiosity.

Monty Python covered this in the 1970s. In one of Terry Gilliam's surrealist animations, a television set opens up to jab and pluck at the eyes of the hapless viewer whilst his wife crows 'Henry, turn that television, you know it's bad for your eyes.' The sketch was aimed firmly at the moral panic over…

From the Pod: 7 things parents get wrong about screens. We talk about the data showing exactly how much "dumb screen time" is already cluttering traditional classrooms, and how one-to-one AI tutors can keep kids in the zone of proximal development. Done right, screens are how we demand more from our students, accelerate their learning by multiple grade levels, and raise high-agency kids in a digital world.

I hate either/or thinking. It flattens complexity into something easier to argue with, but less true. False binaries make for lively debates, but what happens when we sit in the uncertainty, the messy middle, a little longer instead of rushing to pick a side?

There’s a reason the class clown always wins. When rules come from above and kids have no say in shaping them, rebellion becomes the only way to feel powerful. The kids who buck the rules get the laughs, the stories, the social capital. The rule-followers are seen as vanilla. So of course kids goof off and heckle. The system is handing them two options: be obedient and invisible, or disruptive and cool.

AI is everywhere, kids are using it constantly, and nobody has answers.
But instead of turning to another AI-obsessed expert or doomsday neuroscientist, what if we just…asked the kids?
How are they using AI? What is their relationship with this technology? Are they self-aware enough to know what’s happening? Are they able to set boundaries and use it correctly?

The Portrait of a Teacher project aims to redefine the role of educators in response to the rapid technological and workforce changes shaping society.

The DfE published its updated Generative AI Product Safety Standards on 19 January 2026. They are, in principle, exactly what education needed. Guardrails for AI in schools. Protections for children. A clear statement that developers can't just ship consumer AI into classrooms and hope for the best. And overnight, they've made the AI tools most…

Until a few months ago, for the vast majority of people, “using AI” meant talking to a chatbot in a back-and-forth conversation. But over the past few months, it has become practical to use AI as an agent: you can assign them to a task and they do them, using tools as appropriate. Because of this change, you have to consider three things when deciding what AI to use: Models, Apps, and Harnesses.