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
0000-0002-9080-3530 (Michela); 0000-0002-5645-9297 (Moore)
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.
Available for download on Friday, July 01, 2022