Visual Storytelling in Education Applied to Spatial-Temporal Multivariate Statistics Data
2012 (English)In: Expanding the Frontiers of Visual Analytics and Visualization / [ed] John Dill, Rae Earnshaw, David Kasik, John Vince, Pak Chung Wong, Springer London, 2012, 175-193 p.Chapter in book (Refereed)
The paper focuses on an ancient social ritual: “visual storytelling”—exemplified through telling stories about a country’s development over time that shape its economic growth and well-being. Discoveries are made that draw the user into reflecting on how life is lived—and may be improved—from one region to another. In addition, the user can interactively participate in the web-based process which is important to the education and dissemination of public statistics. A toolkit GAV Flash (geoanalytics visualization) is constructed which is programmed in Adobe’s ActionScript. This is the basis for the statistics information visualization application “World eXplorer”. This uses integrated storytelling and is based on multiple linked views and an integrated database link to the public World dataBank. This has more than 400 performance indicators for the time period 1960–2010. An interactive visual story mechanism assists teachers to improve a student’s knowledge through reflections on how life is lived by using a variety of demographics, such as healthcare, environment, and educational and economic indicators. Educators can develop interactive teaching material based on this storytelling mechanism. Integrated snapshots can be captured at any time during an explorative data analysis process and they become an important component of the analytical reasoning process. Students can access geovisual applications and explore statistical relations on their own guided by the stories prepared by the teachers. With the associated science of perception and cognition in relation to the use of multivariate spatio-temporal statistical data, this paper contributes to the growing interest in geovisual statistics analytics in education.
Place, publisher, year, edition, pages
Springer London, 2012. 175-193 p.
sual storytelling, Public statistics, Demographic indicators, Statistics analytics
Computer and Information Science
IdentifiersURN: urn:nbn:se:liu:diva-91352DOI: 10.1007/978-1-4471-2804-5_11ISBN: 978-1-4471-2803-8 (print)ISBN: 978-1-4471-2804-5 (online)OAI: oai:DiVA.org:liu-91352DiVA: diva2:617255