『EdTechnical』のカバーアート

EdTechnical

EdTechnical

著者: Owen Henkel & Libby Hills
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Hosted by EdTechnical co-founders Libby Hills (CEO) and Owen Henkel (Research Director), the EdTechnical podcast explores AI in education through a research-grounded lens.


Each episode, Libby and Owen ask experts to help educators sift the useful insights from the AI hype. They ask questions like: how does this actually help students and teachers? What do we actually know about this technology, and what is just speculation? And (importantly!) when we say AI, what are we actually talking about?


Beyond the podcast, EdTechnical also invests in promising AI edtech companies and conducts applied research to inform real-world product and investment decisions.

© 2026 EdTechnical
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  • How are teachers using AI?
    2026/09/10

    In this episode, Libby and Owen speak with Joanna Cannon, senior fellow at the Walton Family Foundation, where she supports a growing body of research on how teachers and students are using AI.

    Measuring how teachers adopt AI is not straightforward. Joanna says the figures shift depending on what is asked and how AI is defined. The widely reported time savings of using AI come with significant caveats. And although AI can remove certain biases from grading, it introduces fresh risks of its own. When is reaching for AI appropriate, and when does it feel misplaced?

    Bio
    Joanna Cannon is a senior fellow with the Walton Family Foundation, where she works with the K-12 education team, including on a portfolio of research on how AI is being adopted by teachers and students. Joanna holds a PhD in developmental psychology from Columbia University and completed a postdoctoral fellowship at the University of Chicago. Previously, she was chief operating officer at the education non-profit PENCIL and chief strategic officer for the Division of Talent, Labor and Innovation at the New York City Department of Education.

    Links
    Walton Family Foundation, Education Program

    Gallup and Walton Family Foundation research on teacher AI use and time savings


    Join us on social media:

    • BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)
    • Listen to all episodes of EdTechnical here: https://boldscience.org/podcasts/edtechnical/
    • Subscribe to BOLD’s newsletter: https://bold.expert/newsletter
    • Stay up to date with all the latest research on child development and learning: https://bold.expert

    Credits: Sarah Myles for production support; Josie Hills for graphic design; Pia Schmoeckel for content production.


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    35 分
  • Notes from the Festival of Learning: The future of AI in education
    2026/08/20

    In this episode of EdTechnical, Owen reports back from the Festival of Learning in South Korea, the annual gathering that brings together academics in AI, education, learning sciences, and human-computer interaction. Owen takes the pulse of the field through four conversations at the Festival. He speaks with a Cornell professor, a funder at the Gates Foundation, an early-stage startup founder, and a researcher at Google DeepMind.

    The community has stopped asking simply whether generative AI is good or bad for learning, and started asking where to use it, where not to, and how to build around it.


    Guests

    Rene Kizilcec is a Professor at the Department of Computing and Information Science at Cornell University and a general chair of the 2026 Festival of Learning. His work looks at how to use technology effectively and responsibly to support student learning.

    Bryan Richardson works on the K12 education program at the Gates Foundation, where he focuses on helping AI models get better at education. He is part of a newly launched, pooled AI infrastructure fund backing open source tools and benchmarks for education.

    Maya Bialik is founder of QuestionWell, an AI tool that helps teachers create and refine instructional materials. She is also a PhD student at Boston University, and author of Irreplaceable: How AI Changes Everything (and Nothing) in Teaching and Learning.

    Kevin McKee is a research scientist on the AI for Education team at Google DeepMind, where he leads assessments and evaluations of Gemini and other large language models in real world educational settings.


    Links

    The Festival of Learning 2026

    Owen’s research on LLMs’ ability to interpret and grade handwritten student work

    Further reading from the conversations:

    Catching The Correct Answer Trap by Moiz Imran and Sahan Bulathwela

    From Untamed Black Box to Interpretable Pedagogical Orchestration by Nizam Kadir

    Research by QuestionWell

    Eedi and Google DeepMind math tutoring research in the UK

    Gemini Guided Learning study with Fab AI in Sierra Leone



    Join us on social media:

    • BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)
    • Listen to all episodes of EdTechnical here: https://boldscience.org/podcasts/edtechnical/
    • Subscribe to BOLD’s newsletter: https://bold.expert/newsletter
    • Stay up to date with all the latest research on child development and learning: https://bold.expert

    Credits: Sarah Myles for production support; Josie Hills for graphic design; Pia Schmoeckel for content production.


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    31 分
  • AI Pre-Mortem: Getting Ahead of AI's Risks in Education
    2026/07/30

    In this episode of EdTechnical, Libby and Owen speak with Rebecca Winthrop, senior fellow at the Brookings Institution, where she directs the Center for Universal Education. Rebecca and her team recently ran a ‘pre-mortem’ on generative AI in education: rather than waiting years for the evidence to settle, they conducted a yearlong study on the risks it poses to students, and what we can do now to prevent them while making the most of the benefits.

    Drawing on focus groups, a thorough review of studies, and a forecasting panel, the report paints a striking picture: as things stand, the risks of generative AI for children's learning and development outweigh the benefits. Rebecca explains the risks are foundational, undermining the trust, independent thinking, and resilience that children need in order to benefit from AI. A key distinction runs through the conversation: risks tend to come from wide AI use, where children have open-ended, unscaffolded conversations with tools not designed for them, while benefits come from narrow, intentional use integrated into teaching with vetted content.

    Bio

    Rebecca Winthrop is a senior fellow at the Brookings Institution and director of its Center for Universal Education, where she leads the Brookings Global Task Force on AI in Education. She advises governments, policymakers and international institutions on education and previously led education work for displaced and conflict-affected communities. She is a co-author of the report A New Direction for Students in an AI World: Prosper, Prepare, Protect.

    Links

    Research Report by the Brookings Institution’s Center for Universal Education:
    A New Direction for Students in an AI World: Prosper, Prepare, Protect

    Brookings Institution Center for Universal Education: https://www.brookings.edu/topics/education-2/


    Join us on social media:

    • BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)
    • Listen to all episodes of EdTechnical here: https://boldscience.org/podcasts/edtechnical/
    • Subscribe to BOLD’s newsletter: https://bold.expert/newsletter
    • Stay up to date with all the latest research on child development and learning: https://bold.expert

    Credits: Sarah Myles for production support; Josie Hills for graphic design; Pia Schmoeckel for content production.


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    36 分
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