Teaching Statistics and Data Analysis with R

Abstract

We developed an interactive online textbook that interleaves R programming activities with text as a way to facilitate students’ understanding of statistical ideas while minimizing the cognitive and emotional burden of learning programming. In this exploratory study, we characterize the attitudes and experiences of 672 undergraduate students as they used our online textbook as part of a 10-week introductory course in statistics. Students expressed negative attitudes and concerns related to R at the beginning of the course, but most developed more positive attitudes after engaging with course materials, regardless of demographic characteristics or prior programming experience. Analysis of a subgroup of students revealed that change in attitudes toward R may be linked to students’ patterns of engagement over time and students’ perceptions of the learning environment.

Keywords

• Data science education
• Higher education
• R
• Statistics education research