Challenges and Opportunities in Data Visualization Education: A Call to Action

Benjamin Bach, Mandy Keck, Fateme Rajabiyazdi, Tatiana Losev, Isabel Meirelles, Jason Dykes, Robert S Laramee, Mashael AlKadi, Christina Stoiber, Samuel Huron, Charles Perin, Luiz Morais, Wolfgang Aigner, Doris Kosminsky, Magdalena Boucher, Soren Knudsen, Areti Manataki, Jan Aerts, Uta Hinrichs, Jonathan C RobertsSheelagh Carpendale

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

3 Zitate (Scopus)

Abstract

This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and diverse community of learners in visualization. Data Visualization is a diverse and dynamic discipline that combines knowledge from different fields, is tailored to suit diverse audiences and contexts, and frequently incorporates tacit knowledge. This complex nature leads to a series of interrelated challenges for data visualization education. Driven by a lack of consolidated knowledge, overview, and orientation for visualization education, the 21 authors of this paper-educators and researchers in data visualization-identify and describe 19 challenges informed by our collective practical experience. We organize these challenges around seven themes People, Goals & Assessment, Environment, Motivation, Methods, Materials, and Change. Across these themes, we formulate 43 research questions to address these challenges. As part of our call to action, we then conclude with 5 cross-cutting opportunities and respective action items: embrace DIVERSITY+INCLUSION, build COMMUNITIES, conduct RESEARCH, act AGILE, and relish RESPONSIBILITY. We aim to inspire researchers, educators and learners to drive visualization education forward and discuss why, how, who and where we educate, as we learn to use visualization to address challenges across many scales and many domains in a rapidly changing world: viseducationchallenges.github.io.

OriginalspracheEnglisch
Seiten (von - bis)649-660
Seitenumfang12
FachzeitschriftIEEE Transactions on Visualization and Computer Graphics
Jahrgang30
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - 7 Nov. 2023
VeranstaltungIEEE VIS: Visualization & Visual Analytics - Melbourne, Melbourne, Australien
Dauer: 22 Okt. 202327 Okt. 2023
https://ieeevis.org/year/2023/welcome

Fingerprint

Untersuchen Sie die Forschungsthemen von „Challenges and Opportunities in Data Visualization Education: A Call to Action“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren