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.

摘要

由于越来越重视p的误用和过度使用- 科学研究的价值和贝叶斯统计的普及，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，贝叶斯统计也变得更容易被本科生使用。本研究的重点是分析本科生的贝叶斯课程。我们探讨了在我们的 152 所高级研究型大学和文理学院的样本中是否提供本科贝叶斯课程。对于每门确定的贝叶斯课程，我们检查了它如何适合该机构的本科课程，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，以及采用的教学工具，例如软件。本文介绍了我们在本科阶段教授完整贝叶斯课程的当前实践的发现。根据我们的调查结果，我们为可能考虑向学生提供贝叶斯课程的项目提供建议。