The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Teachers

Sibel Kazak Co-Author
Middle East Technical University, Ankara, Turkiye
 
Joshua Rosenberg Co-Author
University of Tennessee, Knoxville
 
Mine Dogucu Speaker
University of California Irvine
 
Wednesday, Aug 6: 10:30 AM - 12:20 PM
Topic-Contributed Paper Session 
Music City Center 
With the rise of the popularity of Bayesian methods and accessible computer software, teaching and learning about Bayesian methods are expanding. However, most educational opportunities are geared toward statistics and data science students and are less available in the broader STEM fields. In addition, there are fewer opportunities at the K-12 level. With the indirect aim of introducing Bayesian methods at the K-12 level, we have developed a Bayesian data analysis activity and implemented it with 35 mathematics and science pre-service teachers. In this article, we describe the activity, the web app supporting the activity, and pre-service teachers' perceptions of the activity. Lastly, we discuss future directions for preparing K-12 teachers in teaching and learning about Bayesian methods.

Keywords

Bayesian Methods

Grades K-12

Mathematics Education

Science Education

Teacher Education