Designing Visualisations for Bayesian Problems According to Multimedia Principles

Büchter, Theresa; Steib, Nicole; Böcherer-Linder, Katharina; Eichler, Andreas; Krauss, Stefan; Binder, Karin and Vogel, Markus (25. October 2022): Designing Visualisations for Bayesian Problems According to Multimedia Principles. In: Education Sciences, Vol. 12, No. 11

Abstract

Questions involving Bayesian Reasoning often arise in events of everyday life, such as assessing the results of a breathalyser test or a medical diagnostic test. Bayesian Reasoning is perceived to be difficult, but visualisations are known to support it. However, prior research on visualisations for Bayesian Reasoning has only rarely addressed the issue on how to design such visualisations in the most effective way according to research on multimedia learning. In this article, we present a concise overview on subject-didactical considerations, together with the most fundamental research of both Bayesian Reasoning and multimedia learning. Building on these aspects, we provide a step-by-step development of the design of visualisations which support Bayesian problems, particularly for so-called double-trees and unit squares.

• Item Type: Journal article
• Faculties: Mathematics, Computer Science and Statistics > Mathematics
• Subjects: 500 Science > 510 Mathematics
• ISSN: 2227-7102
• Language: English
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892