

This video describes the third and final step in Breakout Learning's methodology. Breakout Learning's AI runs a transcript of student discussions against a grading rubric designed to measure key learning objectives. Our software then generates a report that shows professors how well each group and each individual student performed. Instead of grading papers, professors access robust data providing insight into their students' preparation and commentary before they come to class, leading to more engaging classroom discussions.
As a revenue executive, I'm deeply passionate about AI. I always strive to blend new tech with business strategy - navigating the digital world, one innovation at a time!
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Professor Arthur Frazier Innovates Classes at Heidelberg University
Associate Professor of Business, Arthur Frazier of Heidelberg University is leveraging Breakout Learning to revolutionize his classroom experience. By integrating AI-evaluated small-group discussions, Breakout Learning enhances student engagement and...

The Breakout Method: Part 2 – Peer-Led Discussion Groups
This video details the second step in Breakout Learning's educational methodology.