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Third International Handbook of Mathematics Education pp 643–689Cite as

Technology for Enhancing Statistical Reasoning at the School Level

Part of the Springer International Handbooks of Education book series (SIHE,volume 27)

Abstract

The purpose of this chapter is to provide an updated overview of digital technologies relevant to statistics education, and to summarize what is currently known about how these new technologies can support the development of students’ statistical reasoning at the school level. A brief literature review of trends in statistics education is followed by a section on the history of technologies in statistics and statistics education. Next, an overview of various types of technological tools highlights their benefits, purposes and limitations for developing students’ statistical reasoning. We further discuss different learning environments that capitalize on these tools with examples from research and practice. Dynamic data analysis software applications for secondary students such as Fathom and TinkerPlots are discussed in detail. Examples are provided to illustrate innovative uses of technology. In the future, these uses may also be supported by a wider range of new tools still to be developed. To summarize some of the findings, the role of digital technologies in statistical reasoning is metaphorically compared with travelling between data and conclusions, where these tools represent fast modes of transport. Finally, we suggest future directions for technology in research and practice of developing students’ statistical reasoning in technology-enhanced learning environments.

Keywords

  • Statistical Inference
  • Technological Tool
  • Statistical Reasoning
  • Statistical Concept
  • Exploratory Data Analysis

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. University of Paderborn, Paderborn, Germany

    Rolf Biehler

  2. The University of Haifa, Haifa, Israel

    Dani Ben-Zvi

  3. Utrecht University, Utrecht, The Netherlands

    Arthur Bakker

  4. The University of Queensland, St. Lucia, Australia

    Katie Makar

Authors
  1. Rolf Biehler
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  2. Dani Ben-Zvi
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  3. Arthur Bakker
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  4. Katie Makar
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Corresponding author

Correspondence to Rolf Biehler .

Editor information

Editors and Affiliations

  1. Illinois State University, n/a, Normal, 61790-4520, Illinois, USA

    M.A. (Ken) Clements

  2. Fac. Education, Centre for Science, Mathematics &, Monash University, Clayton, 3800, Victoria, Australia

    Alan J. Bishop

  3. FB Erziehungswissenschaft und, Psychologie, FU Berlin, Habelschwerdter Allee 45, Berlin, 14195, Germany

    Christine Keitel

  4. Dept. Mathematics Education, University of Georgia, Aderhold Hall 105, Athens, 30602-7124, Georgia, USA

    Jeremy Kilpatrick

  5. Fac. Education, University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong SAR

    Frederick K.S. Leung

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Biehler, R., Ben-Zvi, D., Bakker, A., Makar, K. (2012). Technology for Enhancing Statistical Reasoning at the School Level. In: Clements, M., Bishop, A., Keitel, C., Kilpatrick, J., Leung, F. (eds) Third International Handbook of Mathematics Education. Springer International Handbooks of Education, vol 27. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4684-2_21

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