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

In this June edition of the JSDSE/CAUSE webinar series, we highlight the 2024 article The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers. 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, the authors have developed a Bayesian data analysis activity and implemented it with 35 mathematics and science pre-service teachers. In their work, they describe the activity, the web app supporting the activity, and pre-service teachers’ perceptions of the activity. Lastly, they discuss future directions for preparing K-12 teachers in teaching and learning about Bayesian methods.

Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2024.2362148