The Teaching and Learning of Statistics

International Perspectives

  • Dani Ben-Zvi
  • Katie Makar

Table of contents

  1. Front Matter
    Pages i-viii
  2. Integrating the Contextual and the Statistical Worlds

    1. Front Matter
      Pages 11-11
    2. Andreas Eichler, Markus Vogel
      Pages 13-23
    3. Dani Ben-Zvi, Keren Aridor-Berger
      Pages 25-36
  3. Learning Statistics at the School Level

    1. Front Matter
      Pages 49-49
    2. Pip Arnold, Maxine Pfannkuch
      Pages 51-61
    3. Einav Aizikovitsh-Udi, Sebastian Kuntze, David Clarke
      Pages 83-94
    4. Soledad Estrella, Arturo Mena-Lorca, Raimundo Olfos
      Pages 95-96
    5. Luana Oliveira Sampaio, Maria Lucia Lorenzetti Wodewotzki
      Pages 99-100
    6. Verônica Yumi Kataoka, Irene Cazorla, Eurivalda Santana, Claudia Borim da Silva
      Pages 125-126
  4. Learning Statistics at the Tertiary Level

    1. Front Matter
      Pages 127-127
    2. Jennifer Noll, Mulugeta Gebresenbet, Erin Demorest Glover
      Pages 139-150
    3. Hyung Won Kim, Tim Fukawa-Connelly, Samuel A. Cook
      Pages 163-174
  5. Technology in Statistics Education

  6. Statistics Teachers and Teaching

  7. Back Matter
    Pages 329-334

About this book


This stimulating overview of current innovations in teaching and learning statistics reflects both ongoing trends in the field and the increasing relevance of statistics in our data-driven era. A global panel of scholars, educators, and researchers documents wide-scale challenges such as students integrating statistical and contextual knowledge and teachers developing statistical literacy. The editors and contributors make it clear that the wider uses of statistics are not only applicable to the STEM subjects, but also to critical thinking and reasoning across disciplines, tasks, and interests. The diversity of statistics education is itself on display in terms of curriculum choices, pedagogical strategies, assessment methods, and technological support.

Among the topics covered:

  • Learning to integrate statistical and work-related reasoning.
  • Mathematical modeling for critical statistics education.
  • Connections between statistical thinking and critical thinking.
  • Students’ sense-making of graphical representation in a basic statistics module.
  • Undergraduate students’ conceptions of variability in a dynamic computer-based environment.
  • Preservice teachers’ difficulties with statistical writing.
  • Teaching and Learning Statistics captures a watershed moment in education, and is a worthy resource for mathematics teachers and researchers, particularly those interested in statistics education.



    International statistics education Statistics education Statistics teaching and learning Technology in mathematics education Technology in statistics education

    Editors and affiliations

    • Dani Ben-Zvi
      • 1
    • Katie Makar
      • 2
    1. 1.Faculty of EducationUniversity of HaifaHaifaIsrael
    2. 2.School of EducationUniversity of QueenslandSt LuciaAustralia

    Bibliographic information

    • DOI
    • Copyright Information Springer International Publishing Switzerland 2016
    • Publisher Name Springer, Cham
    • eBook Packages Education Education (R0)
    • Print ISBN 978-3-319-23469-4
    • Online ISBN 978-3-319-23470-0
    • Buy this book on publisher's site