PERC 2018 Abstract Detail Page
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Abstract Title: | Using Bayesian Updating to Shift Epistemic Beliefs |
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Abstract: | Activities that engage students in Bayesian updating of subjective confidence levels have been shown to impact epistemic sophistication. These activities engage students in both thought experiments and physical hands-on experiments to test models and thereby modify their confidence in a model using Bayes' Theorem. While previous work studied the impact of these activities within the context of an algebra-based introductory course, current work is examining their impact in calculus-based physics for engineering and physics majors. The adaptation of the Bayesian activities to this level course is substantial, as thought experiments can now involve concepts and techniques from calculus and hands-on experiments involve more extensive error analysis. Discussion of these modifications will be presented, as well as preliminary results of shifts in students' epistemic beliefs measured with EBAPS. |
Abstract Type: | Contributed Poster Presentation |
Session Time: | Poster Session III |
Poster Number: | C91 |
Author/Organizer Information | |
Primary Contact: |
Aaron R. Warren Purdue University Northwest 1401 S. US-421 Westville, IN 46391 Phone: 219-785-5659 |
Contributed Poster | |
Contributed Poster: | Download the Contributed Poster |