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The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers
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The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers.pdf
Date
2024-01-01
Author
Dogucu, Mine
Kazak, Sibel
Rosenberg, Joshua M.
Metadata
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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
Journal
Journal of Statistics and Data Science Education
DOI
https://doi.org/10.1080/26939169.2024.2362148
Collections
Department of Mathematics and Science Education, Article
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BibTeX
M. Dogucu, S. Kazak, and J. M. Rosenberg, “The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers,”
Journal of Statistics and Data Science Education
, pp. 0–0, 2024, Accessed: 00, 2024. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85201621590&origin=inward.