EDITORIAL: RESEARCH ON DATA SCIENCE EDUCATION

Authors

  • ROLF BIEHLER Paderborn University
  • RICHARD DE VEAUX Williams College
  • JOACHIM ENGEL University of Education Ludwigsburg
  • SIBEL KAZAK Pamukkale University
  • DANIEL FRISCHEMEIER University of Münster

DOI:

https://doi.org/10.52041/serj.v21i2.606

Keywords:

Statistics education research

Abstract

A very warm welcome to this Special Issue of the Statistics Education Research Journal (SERJ) on data science education. Our hope is to give an overview of selected theoretical thoughts and empirical studies on data science education from a statistics education research perspective. Data science education is rapidly developing but research into data science education is still in its infancy. The current issue presents a snapshot of this developing field.

References

Biehler, R., Budde, L., Frischemeier, D., Heinemann, B., Podworny, S., Schulte, C., & Wassong, T. (Eds.) (2018). Paderborn symposium on data science education at school level 2017: The collected extended abstracts. Universitätsbibliothek Paderborn. https://doi.org/10.17619/UNIPB/1-374

Biehler, R., Frischemeier, D., Reading, C. & Shaughnessy, M. (2018). Reasoning about data. In D. Ben-Zvi, K. Makar & J. Garfield (Eds.), International Handbook of Research in Statistics Education (pp. 139–192). Springer. https://doi.org/10.1007/978-3-319-66195-7_5

Engel, J. (2017). Statistical literacy for active citizenship: A call for data science education. Statistics Education Research Journal, 16(1), 44–49. https://doi.org/10.52041/serj.v16i1.213

Gould, R. (2017). Data literacy is statistical literacy. Statistics Education Research Journal, 16(1), 22–25. https://doi.org/10.52041/serj.v16i1.209

Ridgway, J. (2016). Implications of the data revolution for statistics education. International Statistical Review, 84(3), 528–549. https://doi.org/10.1111/insr.12110

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Published

2022-07-04

Issue

Vol. 21 No. 2 (2022): SPECIAL ISSUE: RESEARCH ON DATA SCIENCE EDUCATION

Section

Editorial