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.

翻译：本文是对数据可视化教育研究与讨论的行动呼吁。随着可视化技术在专业与个人生活中的演变与普及，我们需要理解如何支持并赋能广泛多元的学习群体。数据可视化是一门兼具多样性与动态性的学科，融合了不同领域的知识，针对多元受众与情境进行定制，并常涉及隐性知识。这种复杂性为数据可视化教育带来了一系列相互关联的挑战。由于缺乏关于可视化教育的整合性知识、全局概览与方向指引，本文的21位作者——数据可视化领域的研究者与教育者——基于集体实践经验，识别并描述了19项挑战。我们围绕七大主题——人群、目标与评估、环境、动机、方法、材料与变革——对这些挑战进行组织。针对这些挑战，我们提出了43个研究问题。作为行动呼吁的一部分，我们最后总结了5项贯穿全局的机遇与相应行动方案：拥抱多元与包容、构建社区、开展研究、敏捷行动、崇尚责任。我们旨在激励研究者、教育者与学习者共同推动可视化教育发展，探讨为何教、如何教、教谁、在哪里教，以运用可视化技术在快速变化的世界中应对跨尺度、跨领域的挑战：viseducationchallenges.github.io。