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.

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

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)

Available for download on Friday, July 01, 2022

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