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Creativity and Depth in Open-Ended Projects
Abstract
Programming is an essential component of a growing number of introductory statistics
courses. Many introductory statistics courses use R to put concepts introduced in
the course into practice, and these courses often serve as many students’ first introduction
to R and programming. While some faculty choose to teach R using base R syntax, others
introduce R using packages from the tidyverse. Although some have strong opinions
on how to start with R, the literature on evidence-based comparative studies on learning
R with base R compared to the tidyverse syntax is lacking. We analyzed 205 final projects
in an introductory statistics course taught between the 2013-2016 academic years,
evaluating each project on creativity, depth, and multivariate visualizations. We
found that students introduced to R with packages from the tidyverse scored higher,
on average, on these metrics. Based on these findings, we created resources designed
for future use in introductory statistics instruction.
Type
Honors thesisDepartment
Statistical SciencePermalink
https://hdl.handle.net/10161/20246Citation
Feder, Benjamin (2019). Creativity and Depth in Open-Ended Projects. Honors thesis, Duke University. Retrieved from https://hdl.handle.net/10161/20246.Collections
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