Show Notes
The conversation between Elizabeth Moore and Daniel in this episode provides a window into how the Gates Foundation is navigating the evolving landscape of AI in K-12 education. As Deputy Director with the U.S. K-12 team, Elizabeth explains that the Gates Foundation operates at multiple levels to improve classroom instruction through research, quality standards, and strategic investments. This includes influencing frontier AI labs like OpenAI and Google, developing evaluation frameworks, and creating networks to disseminate evidence-based practices. They choose this approach hoping to help bridge gaps that neither government nor markets adequately address, particularly important as AI development outpaces traditional curriculum cycles. One concerning trend that Elizabeth observes when discussing AI adoption in schools is the well-meaning but counterproductive “no AI” policies that prevent students from developing critical skills for their futures. She, instead, advocates for thoughtful implementation guided by clear educational purposes and robust evaluation of outcomes. The conversation also highlights mathematics as an area with AI potential. Elizabeth describes how AI can support personalised learning by instantly diagnosing specific prerequisite skill gaps and delivering targeted instruction which is a process that traditionally required extensive teacher time and effort. Other suggestions for school leaders that are mentioned by Elizabeth in the episode include: Involve teachers in evaluating AI tools by encouraging them to test the systems' boundaries Align on the specific educational problems AI should solve before implementation Look beyond data security to broader considerations of pedagogical quality Create transparent communication channels with parents about AI's purpose and impact
Throughout the discussion, Elizabeth emphasises the need for healthy skepticism about AI-generated data, balanced with recognition of its potential to enhance parent engagement and address learning gaps when implemented with clear purpose and ongoing assessment. Tune in to discover how one of education's most powerful philanthropies is working behind the scenes to ensure AI serves teachers and students, not the other way around.
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In this episode live from the Festival of Education at Wellington College 2026, host Daniel Emmerson speaks with Grainne Hallahan, Head of Community at Teacher Tapp. Grainne shares unique data-driven insights into how UK teachers feel about artificial intelligence, the shifting patterns in subject-specific AI adoption, and why asking precise, time-bound questions is essential for capturing classroom realities. She also offers practical guidance for school leaders on policy formulation, teacher anonymity, and effective survey design.
In this episode from the Festival of Education at Wellington College 2026, host Daniel Emmerson speaks with Dr Iro Konstantinou, Head of Research and Impact at Eton College. Dr Konstantinou discusses the role of artificial intelligence in education, highlighting findings from primary data gathered across diverse UK schools. She explores the concept of cognitive offloading, how students' perceptions of AI are influenced by their background and social media, and how schools can prepare students for an AI-impacted workplace by fostering critical thinking and transferable skills.
Episode Overview In this episode from the Festival of Education at Wellington College 2026, host Daniel Emmerson speaks with Victoria Hedlund, founder of GenEd Labs. Victoria discusses bias in generative artificial intelligence, the importance of inclusion, and what meaningful human oversight should look like in education. She also explores how educators can challenge AI outputs, balance productivity with equity, and preserve the essential human element in teaching. Key Topics & Timestamps 00:00 Putting Output on Trial 00:33 Introduction to Victoria Hedlund 01:37 Researching Bias and Human Oversight 03:11 Why Schools Must Focus on Bias 05:56 Sparks, Lightbulbs, and Gender Stereotypes 08:12 Frequency of Exposure: Teachers vs AI 09:09 Visual Representation and Image Bias 13:06 Questioning Assumptions and Model Iteration 17:09 Equity Versus Productivity 20:49 The Human in the Loop 24:30 Embracing Messy Humanness in Education
Foundational Impact is a Good Future Foundation podcast exploring how artificial intelligence is changing education. Through conversations with people whose work is shaping the direction education takes next, we examine the evidence, the challenges facing schools and the decisions being made across the sector. Hosted by Daniel Emmerson. Follow Foundational Impact on Spotify, Apple Podcasts or wherever you listen. Website: www.goodfuture.foundation
Episode Overview In this episode from the Festival of Education at Wellington College 2026, host Daniel Emmerson speaks with Daisy Christodoulou, Director of Education at No More Marking. Daisy discusses the role of artificial intelligence in educational assessment, emphasising the importance of actionable feedback over lengthy written notes, the mechanics of comparative judgment, and why handwritten work remains vital for learning. She also addresses the potential pitfalls of AI in schools and offers key guidance for school leaders navigating integration. Key Topics & Timestamps 00:00 Speed As Quality 00:36 Meet Daisy Christodoulou 01:57 Is Written Feedback Useful 02:29 Thermostat Feedback Model 03:32 Comparative Judgment Explained 04:53 AI Judges And Benefits 06:09 Avoiding The Doom Loop 10:48 Student Trust And Emotions 12:48 Fast Feedback Tradeoffs 14:59 Handwriting Versus Typing 17:14 Digitizing Handwritten Work 17:57 Assessment Tradeoffs And Standards 20:21 Advice For School Leaders 21:56 Hopes For AI In Schools