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For show notes, links, and a summary episode, sign up for the Hey! What You Reading For newsletter. Mondays at 7am BST - https://tdape.beehiiv.com/subscribe
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Episode 283: More than a year after their last conversation, Kieran is joined again by Dominic Bristow and Hannah Gillott to revisit one of the most important questions in education right now: what is AI actually proving useful for in schools, and where should we still be very cautious?
The discussion focuses on AI feedback for writing, how tools like Stylus have developed, and what schools now seem prepared to trust AI to do. Along the way, they explore a set of bigger issues too: the difference between outsourcing work and outsourcing thought, why better assessment data only matters if classroom practice changes, and why leaders should begin with the problem they are trying to solve rather than the technology itself.
This is not a conversation about gimmicks or easy answers. It is a thoughtful look at guardrails, teacher oversight, formative assessment, workload, implementation, and the enduring importance of human judgement in teaching. If you are trying to think clearly about AI in education, rather than simply react to the noise around it, this one is well worth your time.
By Kieran Mackle5
55 ratings
For show notes, links, and a summary episode, sign up for the Hey! What You Reading For newsletter. Mondays at 7am BST - https://tdape.beehiiv.com/subscribe
First look only for shrewd description readers tickets to TDaPE Conference Online:
AI For Teachers newsletter
For maths curriculum questions contact us here or via [email protected]
Learn more about The Story of Maths - www.alta-education.com/tsom-overview
Episode 283: More than a year after their last conversation, Kieran is joined again by Dominic Bristow and Hannah Gillott to revisit one of the most important questions in education right now: what is AI actually proving useful for in schools, and where should we still be very cautious?
The discussion focuses on AI feedback for writing, how tools like Stylus have developed, and what schools now seem prepared to trust AI to do. Along the way, they explore a set of bigger issues too: the difference between outsourcing work and outsourcing thought, why better assessment data only matters if classroom practice changes, and why leaders should begin with the problem they are trying to solve rather than the technology itself.
This is not a conversation about gimmicks or easy answers. It is a thoughtful look at guardrails, teacher oversight, formative assessment, workload, implementation, and the enduring importance of human judgement in teaching. If you are trying to think clearly about AI in education, rather than simply react to the noise around it, this one is well worth your time.

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