The Current State of Undergraduate Bayesian Education and Recommendations for the Future
The Current State of Undergraduate Bayesian Education and Recommendations for the Future
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DOI：
10.1080/00031305.2022.2089232
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发表时间：
2021-09
期刊：
影响因子：
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通讯作者：
M. Dogucu;Jingchen Hu
中科院分区：
文献类型：
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作者：
M. Dogucu;Jingchen Hu
摘要 由于科学研究中对 p 值的错误和过度使用的日益重视以及贝叶斯统计的普及，贝叶斯教育在本科阶段变得越来越重要。随着计算工具的进步，贝叶斯统计也变得越来越适合本科生。本研究的重点是分析本科生的贝叶斯课程。我们探讨了 152 所高级研究型大学和文理学院样本中是否提供本科生贝叶斯课程。对于每门确定的贝叶斯课程，我们检查了它如何适应该机构的本科课程，例如专业和先决条件。通过一系列课程大纲分析，我们探讨了这些课程所涵盖的主题及其受欢迎程度，以及所采用的教学工具，例如软件。本文介绍了我们对本科生完整贝叶斯课程教学实践的研究结果。根据我们的发现，我们为可能考虑向学生提供贝叶斯课程的项目提供建议。
Abstract As a result of the increased emphasis on mis- and over-use of p-values in scientific research and the rise in popularity of Bayesian statistics, Bayesian education is becoming more important at the undergraduate level. With the advances in computing tools, Bayesian statistics is also becoming more accessible for undergraduates. This study focuses on analyzing Bayesian courses for undergraduates. We explored whether an undergraduate Bayesian course is offered in our sample of 152 high-ranking research universities and liberal arts colleges. For each identified Bayesian course, we examined how it fits into the institution’s undergraduate curricula, such as majors and prerequisites. Through a series of course syllabi analyses, we explored the topics covered and their popularity in these courses, and the adopted teaching and learning tools, such as software. This article presents our findings on the current practices of teaching full Bayesian courses at the undergraduate level. Based on our findings, we provide recommendations for programs that may consider offering Bayesian courses to their students.