数据驱动课堂中的协作写作工作流程:对话启动器

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
S. Stoudt
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引用次数: 0

摘要

用John Tukey的话来说,处理数据的美妙之处在于你可以“在每个人的后院玩耍”。这句话的推论是,处理数据需要协作。虽然学生经常学习技术工作流程来争论和分析数据,但当面对项目的沟通阶段时,这些工作流程可能会崩溃或需要调整以适应写作过程的不同阶段。在这篇文章中,我提出了两个写作工作流程,供学生在期末项目中使用。一种工作流程涉及版本控制,旨在将整个编写过程中合并冲突的可能性降到最低,另一种工作流程旨在为google - doc密集型的编写工作流程增加一定程度的可重复性(即,避免手动复制和粘贴)。两者都依赖于劳动分工,需要团队成员创建和遵循计划(和结构),并涉及最终报告文档本身之外的沟通。本文的目的不是解决所有协作编写的痛点,而是旨在开始讨论如何明确地教导学生不仅如何协作编写代码,而且如何协作编写。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative Writing Workflows in the Data-Driven Classroom: A Conversation Starter
Abstract To paraphrase John Tukey, the beauty of working with data is that you get to “play in everyone’s backyard.” A corollary to this statement is that working with data necessitates collaboration. Although students often learn technical workflows to wrangle and analyze data, these workflows may break down or require adjustment to accommodate the different stages of the writing process when it is time to face the communication phase of the project. In this article, I propose two writing workflows for use by students in a final-project setting. One workflow involves version control and aims to minimize the chance of a merge conflict throughout the writing process, and the other aims to add some level of reproducibility to a Google-Doc-heavy writing workflow (i.e., avoid manual copying and pasting). Both rely on a division of the labor, require a plan (and structure) to be created and followed by members of a team, and involve communication outside of the final report document itself. This article does not aim to solve all collaborative writing pain points but instead aims to start the conversation on how to explicitly teach students not only how to code collaboratively but to write collaboratively.
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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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