This is a session of Topic 4: Statistics education at the post secondary (tertiary) level
(Monday 12th, 14:00-16:00)
Innovations in teaching statistics at the tertiary level
Organizer
- Mike Forster (New Zealand)
Abstract
Before the advent of modern computer technology and associated statistical analysis packages, the teaching of statistics at the tertiary level focused on theoretical (or mathematical) statistics. Armed with modern technology, teachers of statistics now have the opportunity to instruct tertiary students with a focus on the underlying concepts and ideas of statistics rather than on mathematical theorems and algebraic manipulation. This has made our subject far more accessible to students, especially the mathematically challenged.In this session, various papers will discuss innovations in the teaching of statistics at both the introductory and more advanced (undergraduate) tertiary levels. Papers will address, among other things, innovative ways of teaching introductory courses in statistics and teaching methods that encourage students to focus on the similarities rather than the differences among the analysis techniques they are exposed to in data analysis courses.
Papers
| Paper | Title | Presenter(s) / Author(s) |
| 4D1 | Real-life module statistics: a happy Harvard experiment | Xiao-Li Meng (United States) Kari Lock (United States) |
| 4D2 | Visualising inference | James Curran (New Zealand) Chris Wild (New Zealand) |
| 4D3 | Enriching statistics courses with statistical diversions | Eric Sowey (Australia) Peter Petocz (Australia) |
| 4D4 | Stats2: An applied statistics modeling course | Jeffrey Witmer (United States) |