面向职前数学与科学教师的贝叶斯数据分析课程设计与实施
The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers
AI总结：
本文介绍了一项面向35名职前数学与科学教师的贝叶斯数据分析活动及其Web应用，旨在间接将贝叶斯方法引入K-12教育，并探讨未来方向。
摘要：
随着贝叶斯方法及其易用计算机软件的普及，贝叶斯方法的教学与学习正在扩展。然而，大多数教育机会面向统计学和数据科学学生，在更广泛的STEM领域中较少提供。此外，在K-12层面机会更少。以间接引入贝叶斯方法至K-12层面为目标，我们开发了一项贝叶斯数据分析活动，并已对35名数学和科学职前教师实施。在本文中，我们描述了该活动、支持该活动的Web应用以及职前教师对该活动的看法。最后，我们讨论了为K-12教师准备贝叶斯方法教学与学习的未来方向。
英文摘要：
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 manuscript, 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
