Ed-Technical

Owen Henkel & Libby Hills
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Ed-Technical

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? 

  1. 12月16日

    How & why did Google build an education specific LLM? (part 2/3)

    This episode is the second in our three-part mini-series with Google, where we find out how one of the world’s largest tech companies developed a family of large language models specifically for education, called LearnLM. This instalment focuses on the technical and conceptual groundwork behind LearnLM. Libby and Owen speak to three expert guests from across Google, including DeepMind, who are heavily involved in developing LearnLM. One of the problems with out-of-the-box large language ...

    38 分鐘

  2. 12月2日

    AI tutoring part 2: How good can it get?

    In this episode, Owen and Libby chat about AI tutoring with guests, Ben Kornell, Managing Partner at Common Sense Growth Fund, and Alex Sarlin, a veteran in the edtech industry. Both co-founded Edtech Insiders, a leading newsletter and podcast covering the growing Edtech industry. Ben and Alex differentiate between AI-powered search and true AI tutoring, and discuss trends like AI-enhanced human tutors, hybrid models, and fully autonomous AI bots. The conversation highlights the need for...

    21 分鐘

  3. 11月18日

    Inside the black box: How Google is thinking about AI & education (part 1 of 3)

    This episode is the first of a three part mini-series with Google. There is a lot of interest in how big tech companies are engaging in AI and education and what their future plans are - in this mini-series, hear the latest directly from Google. The genesis of this mini-series was a short Ed-Technical episode from earlier this year. Libby and Owen discussed a paper Google released about the work they had done to fine-tune a LLM called LearnLM to make it more useful for education. This wo...

    36 分鐘

  4. 10月21日

    Big data and algorithmic bias in education: what is it and why does it matter?

    This episode, Owen and Libby speak to Ryan Baker, a leading expert in using big data to study learners and learning interactions with educational software. Ryan is a Professor in the Graduate School of Education at the University of Pennsylvania, and is Director of the Penn Center for Learning Analytics. Ryan provides an overview of educational data mining (otherwise known as EDM) and explains how insights from EDM can help improve learner engagement and outcomes. Libby and Owen al...

    25 分鐘

  5. 10月8日

    Think aloud or think before you speak?: OpenAI’s new model for advanced reasoning

    In this short episode, Libby and Owen discuss OpenAI’s new model for advanced reasoning, o1. They talk about its new capabilities and strengths, and what they think about its significance for education after an initial play around. They talk through the benefits of ‘think aloud’ versus ‘think before you speak’ approaches in education, and how this relates to o1. Links:OpenAI’s announcement about o1Join us on social media: BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Hen...

    11 分鐘

  6. 9月23日

    Misconceptions about misconceptions: How AI can help teachers understand & tackle student misconceptions

    In this episode, Libby and Owen are joined by Craig Barton, Head of Education at Eedi and host of the Mr Barton Maths and Tips for Teachers podcasts, along with Simon Woodhead, Director of Research at Eedi. Together, they explore the world of educational misconceptions—what they are, why they matter and how AI and data science can help tackle them. Links: Craig Barton biography Simon Woodhead biography Eedi’s research Join us on social media: BOLD (@BOLD_insi...

    34 分鐘

  7. 9月9日

    Why Language Models are suck ups and how this can be bad for learning

    In this short, Libby and Owen discuss recent research from Anthropic looking at sycophancy – the tendency to agree with users – in large language models (LLMs), and key research from educational psychology about how important feedback is for learning. Libby and Owen connect the two papers and explore why sycophancy is especially a problem when it comes to using LLMs for educational purposes. Links:Anthropic paper on sycophancy in language models John Hattie and Helen Timberley’s pap...

    12 分鐘

  8. 8月26日

    Passionate about planning (and Tim Walz): automated lesson planning tools

    In this short, Libby and Owen discuss automated lesson planning tools (after Owen stops talking about his Tim Walz crush). There’s now a growing number of lesson planning tools out there for teachers who are using AI: Khanmigo, Magic School, Diffit and Oak National Academy (who will soon release a lesson planning tool) to name a few. Libby and Owen cover what some of the automated tools do and what some of their features are. They share their thoughts about the value and benefits of the tools...

    14 分鐘
顯示全部 (27)

簡介

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? 

資訊

  • 創作者
    Owen Henkel & Libby Hills
  • 活躍年代
    2023年 - 2024年
  • 集數
    27
  • 年齡分級
    兒少適宜
  • 版權
    © 2024 Ed-Technical
  • 節目網站
    Ed-Technical

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