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.Comment: Accepted for publication at VIS 2023 Conference, Melbourne, VI