论文标题
可再现教学的工具和建议
Tools and Recommendations for Reproducible Teaching
论文作者
论文摘要
建议数据科学的师生在研究中采用可重复的工作流程作为学者，并向他们的学生讲授可重复的工作流程。在本文中，我们提出了三个维度来可重复性实践，并建议无论他们是否在课程中教授可重复性，数据科学讲师都会采用可重现的工作流进行自己的教学。我们将计算可重复性，文档和开放性视为可再现教学框架的三个支柱。我们共享三个支柱的工具，示例和建议。
It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and teach reproducible workflows to their students. In this paper, we propose a third dimension to reproducibility practices and recommend that regardless of whether they teach reproducibility in their courses or not, data science instructors adopt reproducible workflows for their own teaching. We consider computational reproducibility, documentation, and openness as three pillars of reproducible teaching framework. We share tools, examples, and recommendations for the three pillars.
