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Abstract Title: Developing Student Epistemic Awareness via Bayesian Learning Activities
Abstract: Testing claims and models is a central part of scientific activity.  Therefore, to help students better experience and understand science it is important to repeatedly engage them in the act of testing.  Here, roughly 40 students in an undergraduate algebra-based introductory physics course were introduced to the concept of Bayesian learning at the beginning of the semester.  A series of in-class activities were developed which asked students to try solving an end-of-chapter problem, then to evaluate their solution by conducting a special-case analysis, and then to update their subjective confidence in their solution using Bayes' Theorem.  A set of lab activities were also designed to incorporate the use of Bayes' Theorem when updating student confidence in physical models after conducting testing experiments.  The design of these activities will be discussed, as well as student performance on the activities and the observed relationship to performance on EBAPS and CLASS.
Abstract Type: Contributed Poster Presentation

Author/Organizer Information

Primary Contact: Aaron R. Warren
Purdue University North Central
Dept. of Math/Stat/Physics
1401 S. US-421
Westville, IN 46391
Phone: 219-785-5659