Statistics education at the post-secondary level
- Stephanie Budgett (New Zealand)
- Beth Chance (United States)
- Saleha Habibullah (Pakistan)
- Manabu Iwasaki (Japan)
- James Musyoka (Kenya)
In today’s information-laden world, the ability to make meaning from data is more important than ever. Consequently we must empower current and future post-secondary students, regardless of discipline, to make meaning from data by using it effectively and ethically. A democratic society is founded on the notion of civic engagement which, nowadays, requires an understanding of many diverse issues including migration, human rights, poverty, health, and politics. Thus all tertiary students need to be equipped with the tools to manage, interrogate, and analyse information from a wide variety of sources.
Important questions for this topic include but are not limited to: How does statistics education at the post-secondary level relate to students’ earlier experiences? How do we best prepare current and future teachers of statistics for the challenges that lie ahead? How do we best prepare tertiary students for today’s world and tomorrow’s world? What are the challenges faced by those teaching statistics at the post-secondary level in developing countries? The papers in this topic will cover the teaching and learning of statistics and probability, including the role of technology and the relationship to data science, at the undergraduate and postgraduate levels in statistics, social sciences, biostatistics, and other disciplines.