Teaching Statistics and Data Analysis with R
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 an...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2022-07-01
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Series: | Journal of Statistics and Data Science Education |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/26939169.2022.2089410 |
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author | Mary C. Tucker Stacy T. Shaw Ji Y. Son James W. Stigler |
author_facet | Mary C. Tucker Stacy T. Shaw Ji Y. Son James W. Stigler |
author_sort | Mary C. Tucker |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T07:12:51Z |
format | Article |
id | doaj.art-7f9e6a0b13e4447c9e5d1463c1c47c15 |
institution | Directory Open Access Journal |
issn | 2693-9169 |
language | English |
last_indexed | 2024-04-12T07:12:51Z |
publishDate | 2022-07-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Journal of Statistics and Data Science Education |
spelling | doaj.art-7f9e6a0b13e4447c9e5d1463c1c47c152022-12-22T03:42:35ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692022-07-0111510.1080/26939169.2022.2089410Teaching Statistics and Data Analysis with RMary C. Tucker0Stacy T. Shaw1Ji Y. Son2James W. Stigler3University of California, Los Angeles, Los Angeles, CAWorcester Polytechnic Institutute, Worcester, MACalifornia State University, Los Angeles, Los Angeles, CAUniversity of California, Los Angeles, Los Angeles, CAWe 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.https://www.tandfonline.com/doi/10.1080/26939169.2022.2089410Data science educationHigher educationRStatistics education research |
spellingShingle | Mary C. Tucker Stacy T. Shaw Ji Y. Son James W. Stigler Teaching Statistics and Data Analysis with R Journal of Statistics and Data Science Education Data science education Higher education R Statistics education research |
title | Teaching Statistics and Data Analysis with R |
title_full | Teaching Statistics and Data Analysis with R |
title_fullStr | Teaching Statistics and Data Analysis with R |
title_full_unstemmed | Teaching Statistics and Data Analysis with R |
title_short | Teaching Statistics and Data Analysis with R |
title_sort | teaching statistics and data analysis with r |
topic | Data science education Higher education R Statistics education research |
url | https://www.tandfonline.com/doi/10.1080/26939169.2022.2089410 |
work_keys_str_mv | AT maryctucker teachingstatisticsanddataanalysiswithr AT stacytshaw teachingstatisticsanddataanalysiswithr AT jiyson teachingstatisticsanddataanalysiswithr AT jameswstigler teachingstatisticsanddataanalysiswithr |