Data Visualisation and Statistics Education in the Future

Author(s)
Prodromou, Theodosia
Dunne, Tim
Publication Date
2017
Abstract
Data visualisation has blossomed into a multidisciplinary research area, and a wide range of visualisation tools has been developed at an accelerated pace. Preliminary statistical data analysis benefits from data visualisation to form the basis for decision-making. There is a greater need for people to make good inferences from visualisations. The flexible nature of current computing tools can potentially have a major impact on the learning and practice of the discipline of statistics and allow easier use of visualisations in the educational process. While this view has many merits and we support its general spirit, we argue for a valuable role for a non-visual approach at certain points. Students will employ data visualisation in an OPEN Data context. This chapter is a theoretical discussion of a framework, which emphasises explicit assumptions that help to direct inferences appropriately. In particular it addresses the common illusions of causality in student reasoning. Our discussion of points of disagreement is based on specific theoretical concerns.
Citation
Data Visualization and Statistical Literacy for Open and Big Data, p. 1-28
ISBN
9781522525134
9781522525127
Link
Publisher
IGI Global
Edition
1
Title
Data Visualisation and Statistics Education in the Future
Type of document
Book Chapter
Entity Type
Publication

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