Episode 18: Explainable models for Learning Analytics

About this episode

This episode discusses the need for explainable algorithmic models in education and their deployment in learning analytics.

This episode of the SoLAR Spotlight podcast series features Judy Kay and Giora Alexandron as guests, hosted by Shibani Antonette. They talk about the distinctive needs for explainable algorithmic models in education and ways to deploy them for learning analytics. What is your takeaway of this podcast? What is the lie that Judy and Giora tell in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight on Twittter. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch. Specific feedback may be sent to solar.spotlight.podcast@gmail.com.

People in this episode

Host: Shibani Antonette

Guests: Judy Kay, Giora Alexandron

Topics covered

• explainable models
• learning analytics
• education

Keywords

• algorithmic models
• education technology
• data interpretation

Mentioned in this episode

Books & works: SoLAR Spotlight

More episodes of SoLAR Spotlight - Conversations on Learning Analytics

• SoLAR Episode 21: Re-Imagining Learning Analytics · December 18, 2025 · 29 min
• Episode 20: Learning Analytics and AI: Opportunities & Challenges · December 13, 2023 · 34 min
• Episode 19: Multimodal Learning Analytics: Opportunities & Challenges · April 24, 2023 · 41 min
• Episode 17: The Intersection of Learning Analytics and Learning Sciences · August 17, 2022 · 33 min
• Episode 16: Bias · May 31, 2022 · 39 min
• Episode 15: Learning Analytics in Schools · May 6, 2022 · 24 min