This paper is from Session 1B: Statistical education software: Looking back and looking forward
which comes under Topic 1: Statistics education: Looking back, looking forward
Paper 1B2 (Thursday 12th, 11:00-12:30)
Imagining the future of statistical education software
Presenter
- Amelia McNamara (Smith College, United States)
Abstract
Statisticians have long used computers to augment our abilities as humans. The graphical tools that emerged after “Software for Learning and for Doing Statistics” allowed students to visualize connections between data in ways that had previously been impossible. Now, computers can provide even more complex interfaces to data. How will the tools of the future look different than those we have today? There are new requirements for statistical education software, such as the ability to deal with large data, and the importance of reproducible research. Currently, there is a distinction between tools for learning statistics and tools for doing statistics, but we need to consider whether this gap should be closed in the future.