Document Type
Book Review
Publication Date
5-2021
DOI
10.1007/s11528-021-00604-w
Publication Title
TechTrends
Volume
65
Issue
3
Pages
402-403
Abstract
Data use in education is continually expanding in scope (Romero and Ventura 2020), and though programming resources are plentiful, those that truly scaffold the learning process are scarce. Data Science in Education Using R by Estrellado, Freer, Motsipak, Rosenberg, and Velásquez is a combination primer and workbook. This format allows the volume to serve as both an introductory R resource aimed to help readers overcome the daunting initial roadblocks to proficiency and familiarize them with educational data uses. We reviewed this book from the perspective of a beginning R user with little other programming background for whom this book is an introduction to the field. As an open book offering, it is available in physical form and digitally at: https://DataScienceInEducation.com.
Original Publication Citation
Michela, E., Moore, R.L. Review of: Estrellado, R. A., Freer, E. A., Motsipak, J., Rosenberg, J. M., & Velásquez, I. C. (2021). Data science in education using R. London, England: Routledge. TechTrends, 65(3), 402-403. DOI: 10.1007/s11528-021-00604-w
ORCID
0000-0002-9080-3530 (Michela); 0000-0002-5645-9297 (Moore)
Repository Citation
Michela, Esther and Moore, Robert L., "Review of: Estrellado, R. A., Freer, E. A., Motsipak, J., Rosenberg, J. M., & Velásquez, I. C. (2021). Data science in education using R. London, England: Routledge" (2021). STEMPS Faculty Publications. 180.
https://digitalcommons.odu.edu/stemps_fac_pubs/180
Included in
Educational Assessment, Evaluation, and Research Commons, Educational Methods Commons, Educational Technology Commons, Online and Distance Education Commons, Other Education Commons
Comments
This is the submitted version of the book review. The final authenticated version available at: https://link.springer.com/article/10.1007/s11528-021-00604-w