Using GitHub Classroom To Teach Statistics

Jacob Fiksel, Leah R. Jager, Johannna S. Hardin, Margaret A. Taub

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Git and GitHub are common tools for keeping track of multiple versions of data analytic content, which allow for more than one person to simultaneously work on a project. GitHub Classroom aims to provide a way for students to work on and submit their assignments via Git and GitHub, giving teachers an opportunity to facilitate the integration of these version control tools into their undergraduate statistics courses. In the Fall 2017 semester, we implemented GitHub Classroom in two educational settings—an introductory computational statistics lab and a more advanced computational statistics course. We found many educational benefits of implementing GitHub Classroom, such as easily providing coding feedback during assignments and making students more confident in their ability to collaborate and use version control tools for future data science work. To encourage and ease the transition into using GitHub Classroom, we provide free and publicly available resources—both for students to begin using Git/GitHub and for teachers to use GitHub Classroom for their own courses.

Original languageEnglish (US)
Pages (from-to)110-119
Number of pages10
JournalJournal of Statistics Education
Volume27
Issue number2
DOIs
StatePublished - 2019

Keywords

  • Collaboration
  • Data science
  • Reproducibility

ASJC Scopus subject areas

  • Statistics and Probability
  • Education
  • Statistics, Probability and Uncertainty

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