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, S{\o}ren Knudsen, Areti Manataki

TL;DR
This paper highlights the complex challenges in data visualization education, proposing a comprehensive call to action for research, community building, and inclusive practices to advance the field.
Contribution
It identifies 19 key challenges and 43 research questions in visualization education, offering a structured framework and strategic opportunities for future progress.
Findings
Identified 19 challenges across seven themes.
Formulated 43 research questions to address visualization education issues.
Proposed five cross-cutting opportunities for improvement.
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,…
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Taxonomy
TopicsData Visualization and Analytics · Data Analysis with R · Statistics Education and Methodologies
