Research in statistics education


Convenors


Abstract

Statistics education requires great and on-going commitment, and is vulnerable to stagnation, backsliding, reductionism and a multiplicity of miscellaneous pressures both intentional and inadvertent. Complexities arise because what works in one context, does not necessarily work sustainably in another. The precise differences associated with that contrast are not easily identified, or even are possibly unknowable. In the context of the explosion of published work it is important to describe and examine current research problems, directions for future areas of inquiry, and the use of theoretical models on which our research might be based. The invited sessions cover teaching and learning of both statistics and probability, the role of technology, and potential guidelines for publishing in education research journals.


Sessions

SessionTitleOrganizer
8AResearch on developing students’ reasoning using simulation methods for introductory statistical inference: Session INicholas Horton (United States)
Andrew Zieffler (United States)
8BResearch on developing students’ reasoning using simulation methods for introductory statistical inference: Session 2Nicholas Horton (United States)
8CResearch on developing students’ informal statistical inferential reasoningEinat Gil (Israel)
8DResearch on developing students’ statistical reasoningSandra Madden (United States)
8EResearch on developing students’ probabilistic reasoningLuis Saldanha (Canada)
8FResearch on professional development of teachers in statisticsCeli Espasandin Lopes (Brazil)
8GTheoretical frameworks in statistics education researchAndreas Eichler (Germany)
8HPublishing in education research journals (panel discussion)Robert C delMas (United States)
Peter Petocz (Australia)
8IResearch on risk literacyLaura Martignon (Germany)
8JResearch on technology in statistics educationStephanie Budgett (New Zealand)