EDITORIAL: RESEARCH ON EARLY STATISTICAL AND PROBABILISTIC THINKING

Authors

  • AISLING LEAVY Mary Immaculate College, Limerick
  • MARIA MELETIOU-MAVROTHERIS European University Cyprus
  • EFI PAPARISTODEMOU Cyprus Pedagogical Institute
  • DANIEL FRISCHEMEIER University of Münster

DOI:

https://doi.org/10.52041/serj.v22i2.706

Keywords:

Statistics education research, Early years, Informal statistical inferences, Learning resources, Learning trajectories, Statistics curriculum

Abstract

Welcome to a special issue of SERJ.

References

Ben-Zvi, D. (2018). Foreword. In A. Leavy, M. Meletiou-Mavrotheris, & E. Paparistodemou (Eds.), Statistics in early childhood and primary education: Supporting early statistical and probabilistic thinking (pp. vii-viii). Springer.

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

Leavy, A., Meletiou-Mavrotheris, M., & Paparistodemou, E. (Eds.) (2018). Statistics in early childhood and primary education: Supporting early statistical and probabilistic thinking. Springer. https://doi.org/10.1007/978-981-13-1044-7

Makar, K., & Rubin, A. (2009). A framework for thinking about informal statistical inference. Statistics Education Research Journal, 8(1), 82–105. https://doi.org/10.52041/serj.v8i1.457

National Science Foundation. (2016). NSF’s 10 big ideas. https://www.nsf.gov/news/special_reports/big_ideas/index.jsp

Rowland, T., Turner, F., Thwaites, A., & Hurst, C. (2009). Developing primary mathematics teaching: Reflecting on practice with the knowledge quartet. SAGE Publications. https://doi.org/10.4135/9781446279571

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Published

2023-07-31

Issue

Section

Early Statistical and Probabilistic Thinking