References
- Aberson, C. (2021), “Building Interactive Tutorials for Teaching Psychological Statistics Online with Learnr,” Technology Innovations in Statistics Education, 13(1). DOI: 10.5070/T513153822.
- Allaire, J., Iannone, R., Hill, A. P., and Xie, Y. (2021), distill: ’R Markdown’ Format for Scientific and Technical Writing. R package version 1.2. Available at https://cran.r-project.org/web/packages/distill
- American Mathematical Society (2022), “Open Math Notes,” Available at https://www.ams.org/open-math-notes. Accessed: 2022-02-03.
- Ball, R., and Medeiros, N. (2012), “Teaching Integrity in Empirical Research: A Protocol for Documenting Data Management and Analysis,” The Journal of Economic Education, 43, 182–189. DOI: 10.1080/00220485.2012.659647.
- Baumer, B. (2020), “Introduction to Data Science Course Website,” Available at https://beanumber.github.io/sds192. Accessed: 2022-01-23.
- Baumer, B., Çetinkaya-Rundel, M., Bray, A., Loi, L., and Horton, N. (2014), “R Markdown: Integrating a Reproducible Analysis Tool into Introductory Statistics,” arXiv preprint arXiv:1402.1894.
- Beckman, M., Çetinkaya-Rundel, M., Horton, N., Rundel, C., Sullivan, A., and Tackett, M. (2021), “Implementing Version Control with Git and Github as a Learning Objective in Statistics and Data Science Courses,” Journal of Statistics and Data Science Education, 29, S132–S144. DOI: 10.1080/10691898.2020.1848485.
- Biehler, R. (1997), “Software for Learning and for Doing Statistics,” International Statistical Review, 65, 167–189. DOI: 10.1111/j.1751-5823.1997.tb00399.x.
- Blitzstein, J. (2022), “Introduction to Data Science Course Website,” Available at https://projects.iq.harvard.edu/stat110/home. Accessed: 2022-01-23.
- Broman, K., Çetinkaya Rundel, M., Amy, N., Paciorek, C., Peng, R., Turek, D., and Hadley, W. (2017), “Recommendations to Funding Agencies for Supporting Reproducible Research,” Available at https://www.amstat.org/asa/files/pdfs/POL-ReproducibleResearchRecommendations.pdf. Accessed: 2021-09-10.
- Broman, K. W., and Woo, K. H. (2018), “Data Organization in Spreadsheets,” The American Statistician, 72, 2–10. DOI: 10.1080/00031305.2017.1375989.
- Bryan, J. (2015), “Naming things,” Reproducible Science Workshop. Available at https://speakerdeck.com/jennybc/how-to-name-files
- Bryan, J., Hester, J., Robinson, D., and Wickham, H. (2021), reprex: Prepare Reproducible Example Code via the Clipboard. R package version 2.0.1. Available at https://CRAN.R-project.org/package=reprex
- Cetinkaya-Rundel, M., Dogucu, M., and Rummerfield, W. (2022), “The 5Ws and 1H of Term Projects in the Introductory Data Science Classroom,” Statistics Education Research Journal, 21(2). DOI: 10.52041/serj.v21i2.37.
- Cetinkaya-Rundel, M., and Hardin, J. (2021), Introduction to Modern Statistics, OpenIntro.
- Creative Commons (2001), “Creative Commons Website,” Available at https://creativecommons.org/. Accessed: 2021-09-10.
- Crowe, A. (2004), “Teaching by Example: Integrating Technology into Social Studies Education Courses,” Journal of Computing in Teacher Education, 20, 159–165.
- Cruess, S., Cruess, R., and Steinert, Y. (2008), “Role Modelling—Making the Most of a Powerful Teaching Strategy,” BMJ, 336, 718–721. DOI: 10.1136/bmj.39503.757847.BE.
- D’Agostino McGowan, L. (2020), “Statistical Learning Course Website,” Available at https://sta-363-f20.netlify.app. Accessed: 2022-01-23.
- Dietrichson, A. (2022), moodleR: Helper Functions to Work with ’Moodle’ Data. R package version 1.0.1. Available at https://cran.r-project.org/web/packages/moodleR/index.html
- Dogucu, M. (2021), “Contributing to Open Education: Why, How, and What I am Doing,” AMS Notices, 68, 367–369.
- Dogucu, M (2022), “Learn R 4 free,” Available at https://www.learnr4free.com/en/index.html. Accessed: 2022-02-03.
- Dvorak, T., Halliday, S. D., O’Hara, M., and Swoboda, A. (2019), “Efficient Empiricism: Streamlining Teaching, Research, and Learning in Empirical Courses,” The Journal of Economic Education, 50, 242–257. DOI: 10.1080/00220485.2019.1618765.
- Fawcett, L. (2018), “Using Interactive Shiny Applications to Facilitate Research-Informed Learning and Teaching,” Journal of Statistics Education, 26, 2–16. DOI: 10.1080/10691898.2018.1436999.
- Fiksel, J., Jager, L., Hardin, J., and Taub, M. (2019), “Using GitHub Classroom to Teach Statistics,” Journal of Statistics Education, 27, 110–119. DOI: 10.1080/10691898.2019.1617089.
- Free Software Foundation (2007), “GNU General Public License Version 3,” Available at https://www.gnu.org/licenses/gpl-3.0.en.html. Accessed: 2021-09-10.
- Gallagher, M. A., Parsons, S. A., and Vaughn, M. (2022), “Adaptive Teaching in Mathematics: A Review of the Literature,” Educational Review, 74, 298–320. DOI: 10.1080/00131911.2020.1722065.
- GitHub (2017), “GitHub Education Community Forum,” Available at https://education.github.community/t/data-plan-lsf/11735. Accessed: 2022-01-23.
- Google (2021), Google Python Style Guide. Available at https://google.github.io/styleguide/pyguide.html
- Hilton III, J., Wiley, D., Stein, J., and Johnson, A. (2010), “The Four ‘R’s of Openness and ALMS Analysis: Frameworks for Open Educational Resources,” Open Learning: The Journal of Open, Distance and e-learning, 25, 37–44. DOI: 10.1080/02680510903482132.
- Howard, S. K., Tondeur, J., Ma, J., and Yang, J. (2021), “What to Teach? Strategies for Developing Digital Competency in Preservice Teacher Training,” Computers & Education, 165, 104149.
- Ibanez, L., Schroeder, W. J., and Hanwell, M. D. (2018), “Practicing Open Science,” in Implementing Reproducible Research, eds. V. Stodden, F. Leisch, R. D. Peng, pp. 241–280, New York: Chapman and Hall/CRC.
- Julia (2021), Julia 1.6 Documentation. Available at https://docs.julialang.org/en/v1/
- Kluyver, T., Ragan-Kelley, B., Pérez, F., Granger, B., Bussonnier, M., Frederic, J., Kelley, K., Hamrick, J., Grout, J., Corlay, S., Ivanov, P., Avila, D., Abdalla, S., and Willing, C. (2016), “Jupyter Notebooks – A Publishing Format for Reproducible Computational Workflows,” in Positioning and Power in Academic Publishing: Players, Agents and Agendas, eds. F. Loizides and B. Schmidt, pp. 87–90, Amsterdam: IOS Press.
- McNamara, A. (2016), “On the State of Computing in Statistics Education: Tools for Learning and for Doing,” arXiv preprint arXiv:1610.00984 .
- Merkel, D. (2014), “Docker: Lightweight Linux Containers for Consistent Development and Deployment,” Linux Journal, 2014.
- Müller, K. (2020), here: A Simpler Way to Find Your Files. R package version 1.0.1. Available at https://cran.r-project.org/web/packages/here
- National Academies of Sciences, Engineering, and Medicine (2019), “Reproducibility and Replicability in Science.”
- Open Source Initiative (1988), “The MIT License,” Available at https://opensource.org/licenses/MIT. Accessed: 2021-09-10.
- Python Software Foundation (2021), venv — Creation of virtual environments. Python package version 3.9.7. Available at https://docs.python.org/3/library/venv.html
- R Core Team (2021), R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. Available at https://www.R-project.org/
- Ranzolin, D., and Hua, C. (2020), rcanvas: R Client for Canvas API. R package version 0.0.0.9001. Available at https://github.com/daranzolin/rcanvas
- RStudio Education (2020), rstats-ed, Available at https://github.com/rstudio-education/rstats-ed. Accessed: 2022-02-03.
- Rummerfield, W., Ricci, F. Z., and Dogucu, M. (2021), “Training Graduate Students to Teach Statistics and Data Science from a Distance,” in IASE/ISI-Satellite Conference on Statistics Education in the Era of Data Science, International Association for Statistical Education. DOI: 10.52041/iase.iwvgy.
- Rundel, C., and Cetinkaya-Rundel, M. (2022), ghclass: Tools for Managing Classes on GitHub. R package version 0.2.1. Available at https://cran.r-project.org/web/packages/ghclass/index.html
- Schloerke, B., Allaire, J. and Borges, B. (2020), learnr: Interactive Tutorials for R. R package version 0.10.1. Available at https://cran.r-project.org/web/packages/learnr/index.html
- Stodden, V., Borwein, J., and Bailey, D. H. (2013), “Setting the Default to Reproducible,” Computational Science Research. SIAM News, 46, 4–6.
- Stodden, V., Leisch, F., Peng, R. D., and Schrag, B. (2013), “Resolving Irreproducibility in Empirical and Computational Research,” IMS Bulletin 14.
- Toelch, U., and Ostwald, D. (2018), “Digital Open Science—Teaching Digital Tools for Reproducible and Transparent Research,” PLoS Biology, 16, e2006022. DOI: 10.1371/journal.pbio.2006022.
- Ushey, K. (2021), renv: Project Environments. R package version 0.14.0. Available at https://CRAN.R-project.org/package=renv
- Vaughn, M., Parsons, S. A., and Gallagher, M. A. (2022), “Challenging Scripted Curricula with Adaptive Teaching,” Educational Researcher, 51, 186–196. DOI: 10.3102/0013189X211065752.
- Wang, S. L., Zhang, A. Y., Messer, S., Wiesner, A., and Pearl, D. K. (2021), “Student-Developed Shiny Applications for Teaching Statistics,” Journal of Statistics and Data Science Education, 29, 218–227. DOI: 10.1080/26939169.2021.1995545.
- Wickham, H. (2014), “Tidy data,” Journal of Statistical Software, 59, 1–23. Available at https://www.jstatsoft.org/index.php/jss/article/view/v059i10
- Wickham, H. (2020), The Tidyverse Style Guide. Available at https://https://style.tidyverse.org/
- Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., and Teal, T. (2017), “Good Enough Practices in Scientific Computing,” PLoS Computational Biology, 13, e1005510. DOI: 10.1371/journal.pcbi.1005510.
- Xie, Y. (2021a), bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.22. Available at https://cran.r-project.org/web/packages/bookdown
- Xie, Y. (2021b), xaringan: Presentation Ninja. R package version 0.20. Available at https://CRAN.R-project.org/package=xaringan
- Xie, Y., Allaire, J., and Grolemund, G. (2018), R Markdown: The Definitive Guide, Boca Raton, FL: Chapman and Hall/CRC. Available at https://bookdown.org/yihui/rmarkdown
- Xie, Y., Dervieux, C., and Hill, A. P. (2021), blogdown: Create Blogs and Websites with R Markdown. R package version 1.4. Available at https://github.com/rstudio/blogdown
- Zoe, F., Medina, C., and Dogucu, M. (2022), gradetools: Tools to Assist with Providing Grades and Personalized Feedback to Students. R package version 0.2.0. Available at https://github.com/federicazoe/gradetools