Innovations in statistical modeling to connect data, chance and context

Maxine Pfannkuch, Dani Ben-Zvi, Stephanie Budgett

Research output: Contribution to journalArticlepeer-review


Statistical modeling is emerging as a fertile research environment in which to promote and learn about student statistical reasoning processes. We outline a paradigm shift toward a modeling perspective that is occurring in statistics education research and how statistical modeling processes involve connecting data, chance and context. The innovative task and software designs and theoretical frameworks that are under development for explicating student reasoning and pedagogy are discussed. In conclusion, we reflect on statistics education research.

Original languageEnglish
Pages (from-to)1113-1123
Number of pages11
JournalZDM - International Journal on Mathematics Education
Issue number7
StatePublished - 1 Dec 2018

Bibliographical note

Publisher Copyright:
© 2018, FIZ Karlsruhe.

ASJC Scopus subject areas

  • Education
  • General Mathematics


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