An Invitation to Teaching Reproducible Research: Lessons from a Symposium

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES Journal of Statistics and Data Science Education Pub Date : 2022-07-08 DOI:10.1080/26939169.2022.2099489
Richard Ball, Norm Medeiros, Nicholas W. Bussberg, A. Piekut
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引用次数: 4

Abstract

ABSTRACT This article synthesizes ideas that emerged over the course of a 10-week symposium titled “Teaching Reproducible Research: Educational Outcomes” https://www.projecttier.org/fellowships-and-workshops/2021-spring-symposium that took place in the spring of 2021. The speakers included one linguist, three political scientists, seven psychologists, and three statisticians; about half of them were based in the United States and about half in the United Kingdom. The symposium focused on a particular form of reproducibility—namely computational reproducibility—and the paper begins with an exposition of what computational reproducibility is and how it can be achieved. Drawing on talks by the speakers and comments from participants, the paper then enumerates several reasons for which learning reproducible research methods enhance the education of college and university students; the benefits have partly to do with developing computational skills that prepare students for future education and employment, but they also have to do with their intellectual development more broadly. The article also distills insights from the symposium about practical strategies instructors can adopt to integrate reproducibility into their teaching, as well as to promote the practice among colleagues and throughout departmental curricula. The conceptual framework about the meaning and purposes of teaching reproducibility, and the practical guidance about how to get started, add up to an invitation to instructors to explore the potential for introducing reproducibility in their classes and research supervision.
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邀请教授可再生研究:研讨会的经验教训
本文综合了在2021年春季举行的为期10周的题为“教学可复制研究:教育成果”https://www.projecttier.org/fellowships-and-workshops/2021-spring-symposium研讨会上出现的想法。发言者包括一名语言学家、三名政治学家、七名心理学家和三名统计学家;其中大约一半在美国,大约一半在英国。研讨会的重点是一种特殊形式的可再现性——即计算可再现性——论文首先阐述了什么是计算可再现性以及如何实现它。根据演讲者的演讲和参与者的评论,本文列举了学习可复制研究方法提高大学生教育的几个原因;这些好处部分与培养学生为未来教育和就业做准备的计算技能有关,但它们也与更广泛的智力发展有关。本文还从研讨会中提炼出一些关于教师可以采用的实用策略的见解,这些策略可以将再现性整合到他们的教学中,并在同事之间和整个院系课程中推广实践。关于教学可再现性的意义和目的的概念框架,以及关于如何开始的实践指导,加在一起,邀请教师探索在课堂和研究监督中引入可再现性的潜力。
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来源期刊
Journal of Statistics and Data Science Education
Journal of Statistics and Data Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.90
自引率
35.30%
发文量
52
审稿时长
12 weeks
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