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

Ed-Technical

Kandungan disediakan oleh Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

29d ago 25:22

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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

25 episod

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