An educator’s perspective of the tidyverse #6
joenash
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Paper Discussion
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Recording: https://www.twitch.tv/videos/1518614287
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Summary:
On June 30th, Mine Çetinkaya-Rundel will be joining us to discuss her new paper, An educator's perspective of the tidyverse. R is an increasingly popular programming language for data science and statistics, both in industry and education. This paper examines the tidyverse ecosystem of packages from an educator's perspective, taking a look particularly at how the design and scope of the packages make them a great tool for teaching data science and statistics.
Table 1 of the paper summarizes the key takeaways. For participants who are not as familiar with the tidyverse, this is a good starting point: https://joss.theoj.org/papers/10.21105/joss.01686.
As ever, you can post comments and questions about the report in this discussion thread. Questions posted before the live event will be discussed during the live stream, but the conversation continues here after the event, too!
About Mine:
Mine Çetinkaya-Rundel is Professor of the Practice at Duke University and Developer Educator at RStudio. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets.
Mine works on the OpenIntro project, whose mission is to make educational products that are free, transparent, and lower barriers to education. As part of this project she co-authored four open-source introductory statistics textbooks. She is also the creator and maintainer of datasciencebox.org and she teaches the popular Statistics with R MOOC on Coursera. Mine is a Fellow of the ASA and Elected Member of the ISI as well as the winner of the 2021 Robert V. Hogg Award for For Excellence in Teaching Introductory Statistics.
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