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Abstract Title: Using Bayesian Updating to Shift Epistemic Beliefs
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