Creativity and Depth in Open-Ended Projects

dc.contributor.advisor

Çetinkaya-Rundel, Mine

dc.contributor.author

Feder, Benjamin

dc.date.accessioned

2020-03-07T17:51:29Z

dc.date.available

2020-03-07T17:51:29Z

dc.date.issued

2019-05-01

dc.department

Statistical Science

dc.description.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.

dc.identifier.uri

https://hdl.handle.net/10161/20246

dc.language.iso

en_US

dc.subject

Introductory statistics

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Education

dc.subject

Tidyverse

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Base R

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Creativity

dc.subject

Multivariate visualizations

dc.title

Creativity and Depth in Open-Ended Projects

dc.type

Honors thesis

duke.embargo.months

0

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