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

Ed-Technical

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محتوای ارائه شده توسط Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

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Clocking In is the podcast for podcasters, entrepreneurs, and professionals making their way in the working world, while building their own personal brand in the podcasting industry. If you're a podcaster (or even just dreaming about launching your own podcast someday), this podcast about podcasting was built to help you merge your love of conversation, education, and business. On this show, you'll discover essential tools for podcasters, whether you're just starting out or looking to grow your podcast. We cover everything from podcasting for beginners to advanced podcast strategy, offering podcasting tips that can help you at any stage of your journey. Learn about launching a podcast, developing a content plan, and monetizing a podcast effectively. Each episode is packed with podcasting education to empower you with the knowledge you need to succeed in the ever-evolving world of podcasting. If you've been asking yourself, "How can I grow my show?," this is the podcast for you! Join Haylee Gaffin each week to hear stories and advice on life, entrepreneurship, business, and podcasting! Haylee is the owner of Gaffin Creative, a podcast production company for creative entrepreneurs. This show is brought to you by Gaffin Creative, a podcast production agency for creative entrepreneurs. Learn more about launching and growing your podcast with Gaffin Creative gaffincreative.com . Let's Connect: gaffincreative.com instagram.com/hayleegaffin Hosted on Acast. See acast.com/privacy for more information.

حدود یک سال پیش 25:22

MP3•خانه قسمت

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 also explore the technical aspects of algorithmic bias with Ryan, discussing why it matters, how it is defined, and how it can be addressed from a technical perspective.

Links:

Ryan Baker biography
One of Ryan Baker’s research papers about algorithmic bias
Big Data and Education - Ryan Baker’s free massive online open textbook

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

35 قسمت

#Arts #Owen

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

Ed-Technical

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

Links:

Ryan Baker biography
One of Ryan Baker’s research papers about algorithmic bias
Big Data and Education - Ryan Baker’s free massive online open textbook

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

35 قسمت

#Arts #Owen

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Coach or Crutch?: Using AI to hone self regulation (not outsource it) 30:43

14 روز پیش30:43

30:43

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 links Sanna 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 14:54

28 روز پیش14:54

14:54

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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Mimicry versus meaning: why context is important for AI tools 22:06

۸ weeks پیش22:06

22:06

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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Live from SXSW EDU: Evidence Eats AI for Breakfast 31:21

۹ weeks پیش31:21

31:21

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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181 Papers Later: What We Know (and Don't) About GenAI in Schools 15:42

12 weeks پیش15:42

15:42

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 Initiative Generative AI Research Repository 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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Is two years of learning possible in six weeks with AI? 8:43

14 weeks پیش8:43

8:43

In this short, Owen and Libby discuss a recent World Bank blog post about a study in Nigeria that evaluated the impact of Microsoft Copilot (powered by ChatGPT) on student learning outcomes. In a six-week after school programme, students were supported to use Copilot. The full study hasn’t been published yet but the blog post reports “overwhelmingly positive effects on learning outcomes”. It reports that the learning improvement over the six-week programme was equivalent to nearly two years of typical learning. Owen has a few questions about this… Link World Bank blog post ‘From chalkboards to chatbots: Transforming learning in Nigeria, one prompt at a time’ 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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Babies & AI: what can AI tell us about how babies learn language? 35:00

16 weeks پیش35:00

35:00

In this episode, Libby and Owen interview Mike Frank, Professor at Stanford University and leading expert in child development. This episode has a different angle to the others, as it is more about AI as a scientific instrument rather than as a tool for learning. Libby and Owen have a fascinating discussion with Mike about language acquisition and what we can learn about language learning from large language models. Mike explains some of the differences between how large language models develop an understanding of human language versus how babies do this. There are some big questions touched on here, including how much of the full human experience it’s possible to capture in data. Libby and Owen also make excellent use of Mike’s valuable time by asking for his expert view on why infants find unboxing videos - videos of other children opening gifts - so addictive. Links Mike Frank’s biography New York Times piece about Mike’s work An interview with Mike about his 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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Teachers & ChatGPT: 25.3 extra minutes a week 10:55

18 weeks پیش10:55

10:55

In this short, Libby and Owen discuss a hot-off-the-press study that is one of the first to test how ChatGPT impacts the time science teachers spend on lesson preparation . The TLDR is that teachers who used ChatGPT, with a guide, spent 31% less time preparing lessons - that’s 25.3 minutes per week on average. This very promising result points to the potential for ChatGPT and similar generative AI tools to help teachers with their workload . However we encourage you to dig into the summary and report to go beyond the headline result (after listening to this episode) - this is a rich and rigorous study with lots of other interesting findings! Links EEF summary Full study 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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How & why did Google build an education specific LLM? (part 2/3) 38:22

22 weeks پیش38:22

38:22

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 models is that they’re designed to be helpful assistants, not teachers. Google was interested in developing a large language model better suited to educational tasks, that others might use as a starting point for education products. In this episode, members of the Google team talk about how they approached this, and why some of the subtleties of good teaching makes this an especially tricky undertaking! They describe the under-the-hood processes that turn a generic large language model into something more attuned to educational needs. Libby and Owen explore how Google’s teams approached fine-tuning to equip LearnLM with pedagogical behaviours that can’t be achieved by prompt engineering alone. This episode offers a rare look at the rigorous, iterative, and multidisciplinary effort it takes to reshape a general-purpose AI into a tool that has the potential to support learning. Stay tuned for our next episode in this mini-series, where Libby and Owen take a step back and look at how to define tutoring and assess the extent to which an AI tool is delivering. Team biographies Muktha Ananda is Engineering leader, Learning and Education @Google. Muktha has applied AI to a variety of domains such as gaming, search, social/professional networks and online advertisement and most recently education and learning. At Google Muktha’s team builds horizontal AI technologies for learning which can be used across surfaces like Search, Gemini, Classroom, and YouTube. Muktha also works on Gemini Learning. Markus Kunesch is a Staff Research Engineer at Google DeepMind and tech lead of the AI for Education research programme. His work is focused on generative AI, AI for Education, and AI ethics, with a particular interest in translating social science research into new evaluations and modeling approaches. Before embarking on AI research, Markus completed a PhD in black hole physics. Irina Jurenka is a Research Lead at Google DeepMind, where she works with a multidisciplinary team of research scientists and engineers to advance Generative AI capabilities towards the goal of making quality education more universally accessible. Before joining DeepMind, Irina was a British Psychological Society Undergraduate Award winner for her achievements as an Experimental Psychology student at Westminster University. This was followed by a DPhil at the Oxford Center for Computational Neuroscience and Artificial Intelligence. Link The LearnLM API 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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AI tutoring part 2: How good can it get? 21:26

24 weeks پیش21:26

21:26

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 AI to integrate- and learn from traditional education in developing key elements, such as targeting the right zone of proximal development. Human tutors have the ability to sense motivation and frustration, helping students through the more challenging parts of learning. Emerging technologies are now using facial and physical cues to gauge engagement, proving valuable as nudges for AI tutors or human instructors to boost motivation or adjust level of content. They also address ethical and political risks, such as biased responses and dependency issues. With exciting developments on the horizon, the episode explores the at times seemingly sci-fi-like future of AI tutoring! Guest bios: Ben Kornell - Ben is currently serving as the Managing Partner of Common Sense Growth Fund at Common Sense Media. Prior to that, they have worked as a School Board Member for the San Carlos School District and was the Co-Founder and Podcast Host of Edtech Insiders. Alex Sarlin - Alex is a 15 year veteran of the Edtech industry, as a Product Manager and Learning Engineer at both large Edtech companies (2U, Scholastic, Chan Zuckerberg Initiative) and startups (Coursera, Skillshare, Credly, Knewton). He is currently a consultant and adviser to a number of Edtech companies in higher education and the future of work. He holds a Master's of Instructional Design from Columbia University, and is the founder of Edtech Insiders, a leading newsletter and podcast covering the growing Edtech industry. 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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Inside the black box: How Google is thinking about AI & education (part 1 of 3) 36:19

26 weeks پیش36:19

36:19

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 work was motivated by a realisation that some of the core behaviours of LLMs (helpfulness, sycophancy) aren’t aligned with what’s valuable from a learning perspective, and prompting can only go so far. This first episode focuses on how Google is integrating LearnLM’s capabilities into existing Google products like YouTube and new products like LearnAbout. The next episode in the mini-series will focus on LLMs and tutoring, and the final episode will be a more technical episode on the development of LearnLM. We had a chance to talk to a number of folks across a range of teams, including LearnX, Google Research and DeepMind. There was too much great content to squeeze into three episodes but all full interviews will be up on our YouTube channel. In this episode we include excerpts from interviews with four members of the team. Rob Wong is the Product Lead for LearnX, a team within Google that builds learning features on Search, YouTube, and Gemini chat, and also works on LearnLM in partnership with Google Research and Google DeepMind. Julia Wilkowski leads a pedagogy team at Google. Her team collaborates with Google product teams to apply learning science principles and teaching best practices. Markus Kunesch is a Staff Research Engineer at Google DeepMind and tech lead of the AI for Education research programme. His work is focused on generative AI, AI for education, and AI ethics, with a particular interest in translating social science research into new evaluations and modeling approaches. Angie Mac McAllister, PhD is a Group Product Manager at Google with a vision: to make a personal AI tutor available to everyone. Focused on developing learning features for Gemini, Mac combines 35 years of experience in education with cutting-edge AI to help students become better learners. Links: Google’s technical report on LearnLM Ed-Technical short episode on Google’s LearnLM paper Article about Learn About, Google’s experimental new AI tool Article by Angie Mac McAllister about new Gemini learning features 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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Big data and algorithmic bias in education: what is it and why does it matter? 25:22

30 weeks پیش25:22

25:22

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 also explore the technical aspects of algorithmic bias with Ryan, discussing why it matters, how it is defined, and how it can be addressed from a technical perspective. Links: Ryan Baker biography One of Ryan Baker’s research papers about algorithmic bias Big Data and Education - Ryan Baker’s free massive online open textbook 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…

1
Think aloud or think before you speak?: OpenAI’s new model for advanced reasoning 10:59

32 weeks پیش10:59

10:59

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 o1 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…

1 year پیش30:41

30:41

In the sixth episode of this series, Libby and Owen talk to Matt Glanville, Director of Assessment at the International Baccalaureate (IB). The IB works with over 5,000 schools worldwide in 160 countries to offer a range of curriculum programmes and qualifications. Early last year they shared their progressive stance on AI – rather than banning AI tools to try to prevent cheating, they recognize that they will become part of everyday life, and therefore students need support to use them ethically, transparently, and safely. Matt (another ex-teacher ❤) talks about IB’s position and how they deal with cheating. We discuss what’s new about cheating in a post-ChatGPT world and what isn’t (spoiler – malicious and determined cheating isn’t a new problem for schools). Matt poses some provocative questions about how we define cheating. Is it cheating to use large language models (LLMs) to give you ideas for your essay? What about having an LLM write an essay using the ideas you give it? We also touch on the implications for formal assessments. Will oral exams make a comeback? Most importantly, we introduce Owen to Mills & Boon. Guests and resources The International Baccalaureate’s AI resources and content The International Baccalaureate’s March 2023 statement about ChatGPT and AI Matt talking about IB’s position on AI at the ACES annual meeting 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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Big data and algorithmic bias in education: what is it and why does it matter?

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