This paper is from Session 9A: Supporting students doing data analysis by using digital tools designed for use by students
which comes under Topic 9: Technology and multimedia in statistics education
Paper 9A3 (Tuesday 10th, 11:00-12:30)
Gaining iNZights from Data
Presenter
- Chris Wild (University of Auckland, New Zealand)
Abstract
Desktop data analysis tool iNZight and its web-based version iNZight Lite have been developed to accelerate the rate at which students can experience data exploration, especially multivariate data exploration. There are many “must-haves” in statistics education, and even more with the advent of “data science”. However many of these imperatives actually conflict. Choices that make some things easy make others hard. iNZight has prioritised the ability to get useful output even when the user does not remember the names of appropriate techniques and to get people to “Aha” moments about data as quickly as possible without constantly being delayed by removable roadblocks. We will show something of the capabilities of iNZight and iNZight Lite but embed this in a deeper discussion of educational priorities.