Quick Red Fox: Optimizing Classroom Interviews with Self-Regulated Learning and Affect Detection
Channel: Learning Analytics Learning Network
Date: 2021-08-20

This session, led by Jaclyn Ocumpaugh, Stephen Hutt, Ryan S. Baker (University of Pennsylvania), Anabil Munshi, Gautaum Biswas (Vanderbilt University), and Luc Paquette (University of Illinois at Urbana-Champaign) shares an introductory tutorial on Quick Red Fox, a free, open-source app that uses learning analytics to optimize qualitative research. Viewers will learn about how the app was used for research in the Betty’s Brain learning platform in order to conduct basic research on self-regulated learning, affect, and student attitudes and how they could use the app or similar methods.
For more information, please go to http://learninganalytics.net/laln/