Design of Statistics Learning Environments

Dani Ben-Zvi, Koeno Gravemeijer, Janet Ainley

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


The goal of this chapter is to draw attention to the need to think about learning environments and their design as a way of considering how sustainable change in the learning and teaching of statistics can be supported. The goal is not to advocate one particular approach to the design of learning environments but rather to raise awareness of the need to consider this lens in statistics education. We first present the rationale for the importance of a focus on learning environments for statistics education. We provide several examples of learning environments that operationalize and integrate various design perspectives and are informed by two theoretical frameworks: social constructivist theory of learning and realistic mathematics education theory. We discuss these examples in a critical way by comparing and evaluating their designs, looking for common threads among them, and develop from them six design considerations for statistics learning environments. Finally, we discuss implications and emerging directions and goals for further implementation and research.
Original languageEnglish
Title of host publicationInternational Handbook of Research in Statistics Education
EditorsD. Ben-Zvi, K. Makar, J. Garfield
Place of PublicationCham
PublisherSpringer International Publishing AG
Number of pages30
ISBN (Electronic)3319661957, 9783319661957
ISBN (Print)3319661930, 9783319661933
StatePublished - 2018

Publication series

NameSpringer International Handbooks of Education
PublisherSpringer International Publishing
ISSN (Print)2197-1951
ISSN (Electronic)2197-196X


  • Learning and teaching of statistics
  • Learning environment
  • Statistics education


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