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Teaching for large-scale Reproducibility Verification
arXiv - STAT - Other Statistics Pub Date : 2022-03-31 , DOI: arxiv-2204.01540
Lars Vilhuber, Hyuk Harry Son, Meredith Welch, David N. Wasser, Michael Darisse

We describe a unique environment in which undergraduate students from various STEM and social science disciplines are trained in data provenance and reproducible methods, and then apply that knowledge to real, conditionally accepted manuscripts and associated replication packages. We describe in detail the recruitment, training, and regular activities. While the activity is not part of a regular curriculum, the skills and knowledge taught through explicit training of reproducible methods and principles, and reinforced through repeated application in a real-life workflow, contribute to the education of these undergraduate students, and prepare them for post-graduation jobs and further studies.

中文翻译:

大规模再现性验证教学

我们描述了一个独特的环境,在这个环境中,来自不同 STEM 和社会科学学科的本科生接受了数据来源和可重复方法的培训,然后将这些知识应用于真实的、有条件接受的手稿和相关的复制包。我们详细描述了招聘、培训和定期活动。虽然该活动不是常规课程的一部分,但通过对可重复的方法和原则的明确培训教授的技能和知识,并通过在现实生活中的工作流程中的重复应用得到加强,有助于这些本科生的教育,并为他们做好准备毕业后的工作和继续深造。
更新日期:2022-03-31
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