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

Date

2024-01-01

Author

Dogucu, Mine
Kazak, Sibel
Rosenberg, Joshua M.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Bayesian methods, Grades K-12, Mathematics education, Science education, Teacher education

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85201621590&origin=inward
https://hdl.handle.net/11511/111177

Collections

Department of Mathematics and Science Education, Article