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?
Ed-Technical
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 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
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- 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