Using RStudio to Engage School Students in Data Science

Authors

  • Ahmad M Alhammouri Jacksonville State University
  • Rami Al-Ouran Al-Hussein Technical University

Abstract

In this article, we provide an activity on how to engage high school students in data science projects. We discuss the data science framework before we present and solve a data science activity using the RStudio development environment. The code and data used in the activity are provided through easy-to-use downloadable online links.

References

Bargagliotti, A., Franklin, C., Arnold, P., Gould, R., Johnson, S., Perez, L., & Spangler, L., A. (2007). Guidelines for assessment and instruction in statistics education (GAISE II) report: A framework for statistics and data science education. Alexandria, VA: American Statistical Association. https://www.amstat.org/asa/files/pdfs/GAISE/GAISEIIPreK-12_Full.pdf

Baumer, B., Cetinkaya-Rundel, M., Bray, A., Loi, L., & Horton, N. J. (2014). R Markdown: Integrating a reproducible analysis tool into introductory statistics. Technology Innovations in Statistics Education, 8(1).

Chen, A. (2020). High school data science review: Why data science education should be reformed. Harvard Data Science Review, 2(4).

National Governors Association Center for Best Practices & Council of Chief State School Officers. (2010). Common core state standards for mathematics. Washington, DC: Author.Retrieved from http://corestandards.org/assets/CCSSI_Math%20Standards.pdf.

Pollak, H. O. (1966). On individual exploration in mathematics education. In E. G. Begle (Ed.), The role of axiomatic and problem solving in mathematics (pp. 117–122). Washington, DC: Conference Board of the Mathematical Sciences (published by Ginn).

Smith, M. (Peg), Steele, M. D., & Sherin, M. G. (2020). The 5 practices in practice [high school]: Successfully orchestrating mathematics discussions in your high school classroom. Thousand Oaks, CA: Corwin.

Ohio Department of Education. (2021). Data Science Foundations Course Pilot. Retrieved from: http://education.ohio.gov/Topics/Learning-in-Ohio/Mathematics/Resources-for-Mathematics/Math-Pathways/Data-Science-Foundations.

Stein, M. K., Smith, M. S., Henningsen, M. A., & Silver, E. A. (2009). Implementing standards-based mathematics instruction: A casebook for professional development (2nd ed.). Reston, VA: National Council of Teachers of Mathematics, and New York, NY: Teacher College Press.

van der Aalst, W. (2016). Process Mining. Berlin, Heidelberg: Springer Berlin Heidelberg.

Downloads

Published

2021-11-21

How to Cite

Alhammouri, A. M., & Al-Ouran, R. (2021). Using RStudio to Engage School Students in Data Science. Ohio Journal of School Mathematics, 89(1). Retrieved from https://ohiomathjournal.org/index.php/OJSM/article/view/8687

Issue

Vol. 89: Fall 2021

Section

Articles

License

Copyright (c) 2021 Ahmad M Alhammouri, Rami Al-Ouran