Coach or Crutch?: Using AI to hone self regulation (not outsource it)
In this episode, Libby and Owen talk to Sanna Järvelä and Inge Molenaar, two of the world’s leading scholars on self‑regulated learning (SRL). Together they cover SRL 101: what self-regulated learning is and why it is a valuable skill. Self-regulated learning is students setting their own goals and then monitoring their learning to achieve those goals. Self-regulation can come more naturally in informal learning settings like sports, but it can be harder to monitor your learning and know if you're on track in school. Sanna and Inge explain how technology can help to address this, and make the learning process more visible. AI systems offer valuable opportunities for better understanding and measuring of self-regulated learning, but need to be carefully designed. We want AI to be a coach not a crutch: AI systems need to reinforce self-regulated learning, not encourage students to offload it. They also touch on the increasingly important question about how we self-regulate our own use of AI. When do I need to proofread this, when do I use autocomplete, and when do I turn AI off?Guest biographies and linksSanna Järvelä is Professor of Learning Sciences & Educational Technology at the University of Oulu, Finland, where she leads the LET research unit. She is co-Director of CELLA, the Center for Learning and Living with AI supported by the Jacobs Foundation. Inge Molenaar is Professor of Education & Artificial Intelligence at Radboud University and founding Director of the Dutch National Education Lab AI (NOLAI). She is co-Director of CELLA the Center for Learning and Living with AI alongside Sanna. Join us on social media: BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel) Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical 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
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A1 sauce for all: Reflections from SXSW and ASUGSV
This week Owen and Libby reflect on two recent EdTech conferences in the US: SXSW Edu in March and ASUGSV in April. They discuss how much things have shifted for US education over this short time period, and three themes that stood out to them both: AI literacy, transformation versus efficiency, and the disruptive potential of AI for education. Join us on social media: BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel) Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical 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
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14:54
Mimicry versus meaning: why context is important for AI tools
Another live Ed-Technical episode! In this short, Owen does a deep dive on AI and discourse analysis (the study of how meaning is constructed through language) with three experts. The conversation explores the intersection between AI, particularly Large Language Models (LLMs), and the study of discourse. This is a topical conversation as LLM capabilities continue to evolve. LLMs have mastered sentence level communication. However we know less about their ability to be useful over the course of a full conversation and complex and interactive processes (like learning) that require deeper appreciation of context. Featuring:Pani Kendeu: Professor at the University of Minnesota, researching learning, cognition, and technology, and a former elementary school teacher. Alyssa Wise: Professor of Technology and Education at Vanderbilt University, directing the Live Learning Innovation Incubator which bridges technology with real-world classroom challenges.Art Graesser: Professor at the University of Memphis, co-founder of the Institute for Intelligent Systems and the Society for Text and Discourse. Join us on social media: BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel) Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical 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
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22:06
Live from SXSW EDU: Evidence Eats AI for Breakfast
Everyone is talking about AI’s power to provide answers, but what about your lingering questions? What does the latest research actually tell us? Join Libby and Owen for this live session from SXSW EDU as they delve into the latest research to uncover where AI is truly adding value in the educational landscape — and where it falls short. They’re joined by two expert guests: Kristen DiCerbo from Khan Academy and Assistant Professor Peter Bergman from University of Texas at Austin and Learning Collider. The group discusses the most pressing open questions and key findings from the latest research.Join us on social media: BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel) Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical 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
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31:21
181 Papers Later: What We Know (and Don't) About GenAI in Schools
In this episode, Owen and Libby chat with Chris Agnew about Stanford's new generative AI hub for education. Chris leads this initiative within Stanford's SCALE program, which aims to be a trusted source for education system leaders on what works in AI and learning.Chris walks us through their research repository of 181 papers examining AI's impact in K-12 education. He outlines their GenAI tools typology which breaks down AI applications into three categories: efficiency gains, improving student outcomes, and reimagining schooling. The conversation explores key research gaps, including how schools can productively engage with teachers' unions on AI adoption and understanding how students use AI tools for homework - the "elephant in the room" that keeps education leaders up at night.Before joining Stanford, Chris worked in non-traditional learning environments from wilderness education to apprenticeship programs. He shares both aspirational and practical visions for AI in education over the next five years - though sadly, none involve Owen's hoped-for cyborg centaur tutors (yet).Links:Stanford Accelerator for Learning SCALE InitiativeGenerative AI Research RepositoryJoin us on social media: BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel) Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical 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
Join two former teachers - Libby Hills from the Jacobs Foundation and AI researcher Owen Henkel - for the Ed-Technical podcast series about AI in education. Each episode, Libby and Owen will ask experts to help educators sift the useful insights from the AI hype. They’ll be asking questions like - how does this actually help students and teachers? What do we actually know about this technology, and what’s just speculation? And (importantly!) when we say AI, what are we actually talking about?
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