Topic 1
Statistics education: Looking back, looking forward
Convenors
- Chris Wild (New Zealand)
- Mine Cetinkaya-Rundel (United States)
- Alison Gibbs (Canada)
- Tomoyuki Higuchi (Japan)
- J. Michael Shaughnessy (United States)
Abstract
Topic 1 addresses aspects of how we got to where we are now, innovations with implications for future practice, and where we are, or should be, heading. This includes, but is not limited to:
- Historical development of some aspects of statistics education, or some aspects of statistics itself (though the latter should include an educational-use perspective) and what this means for the continued evolution of how we think and act statistically
- Current innovations (e.g., pedagogical/technological/social/ …) and what implications these have going forward
- Projected or desired futures and strategies for statistics education. Examples include:
- Data science, big data, data visualisation
- Enlarging the statistical tent to include complementary areas associated with social science or computer science
- Developing critical thinking, communication and teamwork in statistical education
- Ethics and social responsibility in statistics
- Curricular reform, assessment reform and teaching/learning innovations to drive and respond to the future of statistics education