Hi all,
The June Journal of Statistics and Data Science Education (JSDSE) / Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) webinar will take place on Tuesday, June 10 at 1pm ET (please note the change from the usual time slot). Please see the webinar announcement below for details.
The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers
Tuesday, June 10, 2025 1:00 - 1:45 pm ET
Presented by: Mine Dogucu (University of California, Irvine), Sibel Kazak (Middle East Technical University), Joshua Rosenberg (University of Tennessee, Knoxville)
Co-hosted by: Adam Loy and Ciaran Evans
IT: Andrew Ferguson
Abstract: 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.
Please join us!
Adam Loy, Carleton College
Ciaran Evans, Wake Forest University
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Ciaran Evans
Assistant Professor
Wake Forest University
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