International Handbook of Research in Statistics Education

1. Front Matter

   Pages i-xix

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2. Statistics, Statistics Education, and Statistics Education Research

   1. Front Matter

      Pages 1-3

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   2. What Is Statistics?

      • Christopher J. Wild, Jessica M. Utts, Nicholas J. Horton

      Pages 5-36

   3. What Is Statistics Education?

      • Andrew Zieffler, Joan Garfield, Elizabeth Fry

      Pages 37-70

   4. Statistics Education Research

      • Peter Petocz, Anna Reid, Iddo Gal

      Pages 71-99

3. Major Contributions of Statistics Education Research

   1. Front Matter

      Pages 101-104

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   2. The Practice of Statistics

      • Jane Watson, Noleine Fitzallen, Jill Fielding-Wells, Sandra Madden

      Pages 105-137

   3. Reasoning About Data

      • Rolf Biehler, Daniel Frischemeier, Chris Reading, J. Michael Shaughnessy

      Pages 139-192

   4. Research on Uncertainty

      • Dave Pratt, Sibel Kazak

      Pages 193-227

   5. Introducing Children to Modeling Variability

      • Richard Lehrer, Lyn English

      Pages 229-260

   6. Learning About Statistical Inference

      • Katie Makar, Andee Rubin

      Pages 261-294

   7. Statistics Learning Trajectories

      • Pip Arnold, Jere Confrey, Ryan Seth Jones, Hollylynne S. Lee, Maxine Pfannkuch

      Pages 295-326

   8. Research on Statistics Teachers’ Cognitive and Affective Characteristics

      • Randall Groth, Maria Meletiou-Mavrotheris

      Pages 327-355

4. Contemporary Issues and Emerging Directions in Research on Learning and Teaching Statistics

   1. Front Matter

      Pages 357-358

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   2. The Nature and Use of Theories in Statistics Education

      • Per Nilsson, Maike Schindler, Arthur Bakker

      Pages 359-386

   3. Reimagining Curriculum Approaches

      • Maxine Pfannkuch

      Pages 387-413

   4. Challenge to the Established Curriculum: A Collection of Reflections

      • Robert Gould, Roger D. Peng, Frauke Kreuter, Randall Pruim, Jeff Witmer, George W. Cobb

      Pages 415-432

   5. Building Capacity in Statistics Teacher Education

      • João Pedro da Ponte, Jennifer Noll

      Pages 433-455

   6. Revolutions in Teaching and Learning Statistics: A Collection of Reflections

      • Robert Gould, Christopher J. Wild, James Baglin, Amelia McNamara, Jim Ridgway, Kevin McConway

      Pages 457-472

   7. Design of Statistics Learning Environments

      • Dani Ben-Zvi, Koeno Gravemeijer, Janet Ainley

      Pages 473-502

This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators.  Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research.

• Assessment in Statistics Education
• Evolution of Statistics Education
• Practitioners as Statisticians
• Statistics Education Research
• Statistics in Early Mathematics Education
• Visionary Bits (VBits)
• learning and instruction

“This handbook in many ways is an impressive accomplishment … mainly useful for researchers in statistics education, and to some degree for teachers of statistics at the primary and secondary education levels.” (Andreas Rosenblad, International Statistical Review, Vol. 87 (1), 2019)



“This book is an important resource for researchers in the field of Statistics Education. Written collaboratively by a diverse group of educators and statisticians, this work provides the “state of the art” (as of 2018) and a vantage point useful for planning future pedagogical research. The articles in this handbook summarize what is known about the teaching and learning of Statistics, the current developments in the field, and the many unknowns and questions we still have.” (Mark Causapin, MAA Reviews, January, 2019)​

• Faculty of Education, The University of Haifa, Haifa, Israel

  Dani Ben-Zvi

• School of Education, University of Queensland, St Lucia, Australia

  Katie Makar

• Department of Educational Psychology, The University of Minnesota, Minneapolis, USA

  Joan Garfield

Dani Ben-Zvi, Joan Garfield, and Katie Makar are leading researchers in statistics education and active in the international community. They develop and coordinate graduate programs in statistics education, prepare teachers and doctoral students, and conduct research in schools that contribute to the field. They have recruited the most prominent statistics educators and researchers from around the world to collaborate with them as section editors or authors for the handbook.

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