Using AI to Create Dynamic Supports in Equity-Focused/Simulation-Based Learning in Teacher Moments 2
Channel: Learning Analytics Learning Network
Date: 2022-02-14

This session, led by Garron Hillaire, Sara O'Brien, Joshua Littenberg-Tobias, and G. R. Marvez at MIT,  is the second of a three-part series for teacher educators and learning analytics researchers who want to learn more about creating digital simulations using AI classifiers. Digital simulations are an exciting way for professionals to practice real-world skills in a low-stakes environment. The Teaching Systems Lab at MIT creates digital simulations for pre-service and in-service teachers, using AI to provide dynamic supports to learners. In the second workshop, participants explored their generated data, structural topic modeling, and using data to build classifiers that can predict specific responses from learners. For more information session resources, and to register for part 3, please go to https://learninganalytics.net/laln/