SIGCSE TS 2023 (series) / Posters / A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement
A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous ImprovementGlobalIn-Person
Fri 17 Mar 2023 15:00 - 17:00 at Exhibit Hall G - In Person Posters 2 Chair(s): Meghan Allen, Jennifer Campbell
Drawing inspiration from the use of machine learning and experimentation in product development at leading technology companies, we explore how adaptive experimentation might help in continuous course improvement. In adaptive experiments, as different arms/conditions are deployed to students, data is analyzed and used to change the experience for future students. We report data from a side-by-side comparison of traditional and adaptive experimentation of self-explanation prompts in online homework problems in a CS 1 course. This provides a first step in exploring the future of how this methodology can be useful in bridging research and practice in doing continuous improvement.
Fri 17 MarDisplayed time zone: Eastern Time (US & Canada) change
Fri 17 Mar
Displayed time zone: Eastern Time (US & Canada) change