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Simon Breakspear on AI - Slow Down: AI, Learning, and the Cognitive Escalator

AI in Education Podcast

Release Date: 09/11/2025

What we learned from teachers at Sydney’s Day of AI show art What we learned from teachers at Sydney’s Day of AI

AI in Education Podcast

We kick off Series 17 with a multi-interview episode! Recorded live at the , this episode brings together three educators who are reshaping teaching, assessment and student learning in real classrooms with AI. You’ll hear from at on how teachers are building shared “Brains” in NotebookLM to save time, improve differentiation and support pedagogy, while reducing workload by more than 50 hours a week across staff workflows. from shares how AI is opening new creative possibilities for students and teachers alike, and why schools needed to guide students toward using AI well rather...

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The Castlereagh Moment: Education at a Turning Point with AI? show art The Castlereagh Moment: Education at a Turning Point with AI?

AI in Education Podcast

This week’s episode explores a defining moment for education in the age of AI. Fresh from a week of major events in Sydney, including the Microsoft AI Summit, Dan and Ray unpack the newly released Castlereagh Statement - a collaboration between 70+ education leaders calling for urgent change across schools, universities, and training systems. Their message is clear: education isn’t ready for the speed and scale of AI disruption. But that’s only part of the story. We’re also seeing a growing pushback on technology in classrooms, with schools limiting screen time and universities...

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From Classroom to Impact: How Dawn Knight Uses AI to Help Students Thrive show art From Classroom to Impact: How Dawn Knight Uses AI to Help Students Thrive

AI in Education Podcast

In this episode, we’re joined by , a sustainability lead and specialist support educator working with deaf students in a UK secondary school (). Dawn shares how she’s using AI in simple, practical ways to make learning more accessible - not just for students with additional needs, but for everyone in the classroom. From generating transcripts and differentiated resources to using AI as a planning “checklist,” Dawn explains how these tools are helping her save time and reinvest it where it matters most: supporting students directly. The conversation explores how technology originally...

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Australia’s AI moment: Fast adoption, slow policy, big questions show art Australia’s AI moment: Fast adoption, slow policy, big questions

AI in Education Podcast

In this episode, Dan and Ray explore how AI is rapidly reshaping education, workplaces, and policy - often faster than institutions can respond. They unpack new guidance from NSW’s NESA on student AI use, highlighting the growing tension between rules, real-world behaviour, and the need for clearer, more consistent policies across education systems. The conversation expands globally with insights from the 2026 Stanford AI Index Report, revealing that while over 80% of students are already using AI, formal education and policy frameworks are struggling to keep pace. The distinction between...

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Jocelyn Brewer - How schools and parents rethink student wellbeing in the age of AI show art Jocelyn Brewer - How schools and parents rethink student wellbeing in the age of AI

AI in Education Podcast

In this episode, Dan and Ray are joined by psychologist and cyber psychology expert , founder of , to unpack one of the biggest challenges facing education today: how schools and parents can support student wellbeing in an AI-driven world. Jocelyn introduces the concept of “” - a more balanced, intentional approach to technology use that moves beyond simplistic ideas like screen time limits. Together, they explore how young people are already using AI for everything from homework to navigating friendships, often in ways adults don’t fully understand. The conversation dives into the risks...

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Inside the latest AI in education research: tutors, bias, and impact show art Inside the latest AI in education research: tutors, bias, and impact

AI in Education Podcast

This week’s episode dives into a wave of new research shaping how AI is actually being used in education. We explore what works (and what doesn’t) when it comes to AI-generated feedback, including why blended, “hybrid” feedback may be the most effective approach - and why more feedback doesn’t always lead to better outcomes. The conversation then turns to one of the most important emerging issues: bias in AI systems. From subtle differences in tone to stereotyping based on student characteristics, the research highlights why educators need to be cautious about the data they provide...

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UnBlooms: Tina Austin on thinking well with AI and rethinking Bloom’s show art UnBlooms: Tina Austin on thinking well with AI and rethinking Bloom’s

AI in Education Podcast

joins Ray and Dan for a wide-ranging conversation about what AI adoption really looks like in US education beyond the hype, the headlines and the endless frameworks. Tina is an educator, consultant, policy adviser and the founder of GAInable. She works with schools, colleges and faculty teams on responsible AI adoption. In this episode, she shares how her work evolved from teaching bioethics and AI ethics into supporting educators across the US as they grapple with policy, privacy, assessment, tools, and changing classroom practice. The conversation explores the fragmented reality of AI in...

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AI News: the future of work we’re not ready for show art AI News: the future of work we’re not ready for

AI in Education Podcast

In this AI News episode, Dan and Ray explore the fast-moving reality of AI in the workplace - and why many of us might not be as prepared as we think. They unpack a striking story of a KPMG partner fined for using AI to cheat on an AI ethics course, raising questions about assessment, responsibility, and what “cheating” even means in an AI-enabled world. The conversation then shifts to a growing trend: organisations and universities rolling out AI tools like Copilot at scale, and what this means for equity, productivity, and expectations in the workplace. Dan and Ray also dive into new...

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Stephen Heppell on Building Smarter Schools in the Age of AI show art Stephen Heppell on Building Smarter Schools in the Age of AI

AI in Education Podcast

Professor joins Dan and Ray for a wide-ranging conversation about the future of schools, assessment, and learning in the age of AI. Stephen reflects on more than four decades of innovation in education technology — from early experiments with AI and HyperCard through to today’s generative AI systems. Drawing on work around the world, he shares stories from radical learning environments including beach schools, post-hurricane classrooms in the Cayman Islands, and experimental learning spaces designed with students themselves. A central theme of the episode is the growing gap between how...

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From Classrooms to Careers: The New AI Skills Race show art From Classrooms to Careers: The New AI Skills Race

AI in Education Podcast

In this news-packed episode, hosts Ray and Dan explore Purdue University’s bold new requirement for all graduates to demonstrate AI competency; and the strategic partnerships between Harvey.ai (the specialised system for the legal profession) and universities in Sydney, Oxford and Chicago. The conversation turns to the "first in the world" move by the University of Manchester to provide Microsoft 365 Copilot to 65,000 students and staff - paying homage to the legacy of Alan Turing. A highlight of the episode is the deep dive into "vibe coding"— the phenomenon of non-programmers using AI to...

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More Episodes
In this weeks podcast Dan and Ray have a conversation about education with Dr Simon Breakspear.    Simon is a globally respected expert in educational leadership and innovation, known for his insightful work on transforming learning environments.  His forward thinking ideas around education are reshaping the way schools and school systems are thinking about teaching, learning and leadership.    
 
In this episode we talk about:
 
Distinction Between Productivity and Pedagogical Uses of AI: Simon, Dan, and Ray discussed the critical distinction between using AI for productivity tasks in education (such as administrative work and report summarisation) and for pedagogical purposes, emphasising that while AI can greatly enhance productivity for adults, its use in learning processes for students requires careful consideration to avoid undermining cognitive development.
 
Human Development and the Role of Analogue Learning: Simon argued that foundational human development—such as reading, writing, and critical thinking—should precede the use of AI in learning, with Dan and Ray supporting the view that analogue learning experiences are crucial for building the cognitive and personal skills necessary for effective future use of AI.
 
Guidance for School Leaders and Teachers on Navigating AI Integration: Ray and Dan sought practical advice from Simon for school leaders and teachers facing pressure to adopt AI, with Simon recommending a cautious, evidence-based approach that prioritises human development, leverages AI for productivity gains, and introduces AI into learning processes only where it demonstrably enhances educational outcomes.
 
Changing Role of Teachers in the Age of AI: Ray questions whether the role of teachers must change with AI, and Simon responded that while some administrative tasks may be automated, the core human functions of teaching—motivating, engaging, and forming students—will become even more critical, with teachers needing to exercise professional judgement about when and how to use AI in the classroom.
 
Ethical and Equity Considerations in AI Adoption: Dan and Simon discussed the ethical implications and potential inequities arising from AI adoption in education, highlighting concerns that uneven access and premature augmentation could disadvantage certain groups of students and create disparities in skills and opportunities.
 
Practical Strategies for Selective AI Integration: Simon provided practical strategies for integrating AI into education, recommending that schools focus on specific, evidence-based learning processes where AI can add value, such as feedback and retrieval practice, and to avoid being overwhelmed by the proliferation of AI tools.
 
Long-Term Purpose of Education Amidst Technological Change: Simon concluded that the ultimate goal of education is not solely economic productivity but the holistic formation of human beings, arguing that enduring human skills, identity, and community are essential for resilience in an unpredictable future, regardless of technological advancements.
 
 
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Research and Historical References Mentioned
• Learning Science & Cognitive Development: Simon referenced the work of Kirschner and Sweller on learning as a change in long-term memory, including declarative and procedural knowledge.  Rethinking Cognitive Load Theory for Collaborative Learning - kirschner-ED
 
• Lindy Effect (Nassim Taleb): Simon discusses the Lindy effect, suggesting that things valuable for a long time (like bicycles or spoons) are likely to remain valuable, as a way to think about educational priorities amid rapid technological change.  Lindy effect - Wikipedia 
 
• Daisy Christodoulou: Simon cites Daisy Christodoulou’s perspective that while AI may be a better writer, it cannot know what you actually think, emphasizing the importance of writing as a way to learn how to think.   Welcome - Daisy Christodoulou  |  21st century skills: what are they and how can we teach them? Daisy Christodoulou
 
• Historical Technology Adoption in Education: Simon refers to the rollout of one-to-one devices and mobile phones in schools, highlighting unintended consequences for attention and learning, and drawing lessons for AI adoption.  NSW Government begins mobile phone ban in public high schools 

• Mathematics Education Practice: Simon references the established practice of delaying calculator use in mathematics until foundational skills are developed, as an analogy for AI use in learning.   Calculator Use - National Council of Teachers of Mathematics
 
• DeepMind CEO on Coding: Simon mentions a recent interview with the CEO of DeepMind, who argues that understanding how things work is necessary, even if AI can code better than humans. Google’s DeepMind CEO says there are bigger risks to worry about than AI taking our jobs