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A Model for an Interdisciplinary Undergraduate Research Program

机译：跨学科本科研究计划的模型

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摘要

In the May 2009 issue of The American Statistician, Brown and Kass (BK) offered thought-provoking answers to the question "What is Statistics?" which have direct implications for statistics education. For five years, St. Olaf College's Center for Interdisciplinary Research's (CIR) activities have aligned with BK in both philosophy and practice. We describe the program's motivation and design, how we recruit students and find faculty collaborators with suitable projects, and how the teams of faculty and students work together. A research skills seminar series parallels the research process and prepares students for working on teams. Inevitably, administrative issues arose which we identify and address. Landes (2009) identified significant issues related to recruiting. Our model of undergraduate education has proved to be fruitful on this front. Sending nearly 50 students to graduate school in five years from a college of fewer than 3000 speaks to the program's efficacy. Here we present a program based on authentic interdisciplinary research with undergraduates which embodies many of BK's ideas and addresses recruiting issues. Although this experience underscores the potential for new and exciting approaches to statistics education in the liberal arts environment, the model itself can be adapted by a variety of undergraduate programs. Supplemental materials are available online.
机译：在2009年5月出版的《美国统计师》上，布朗和卡斯（BK）提供了发人深省的答案：“什么是统计？”这直接影响到统计教育。五年来，圣奥拉夫学院跨学科研究中心（CIR）的活动在哲学和实践上均与BK保持一致。我们描述了该计划的动机和设计，如何招募学生并找到具有合适项目的教职员工，以及教职员工团队如何合作。一个研究技能研讨会系列与研究过程并行，并为学生做好团队合作的准备。不可避免地出现了我们确定和解决的行政问题。 Landes（2009）发现了与招聘有关的重大问题。在这方面，我们的本科教育模式被证明是卓有成效的。在不到3000年的时间里，五年内将近50名学生送往研究生院就说明了该计划的有效性。在这里，我们提出了一个基于与大学生进行真实跨学科研究的计划，该计划体现了BK的许多想法并解决了招聘问题。尽管这种经验强调了在文科环境中采用新颖而令人兴奋的统计学教育方法的潜力，但该模型本身可以通过各种本科课程进行调整。补充材料可在线获得。

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