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

Challenges and Opportunities in Data Visualization Education: A Call to Action
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DOI:
10.1109/tvcg.2023.3327378
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发表时间:
2023-08
影响因子:
5.2
通讯作者:
B. Bach;Mandy Keck;F. Rajabiyazdi;Tatiana Losev;Isabel Meirelles;J. Dykes;R. Laramee;Mashael AlKadi;C. Stoiber;Samuel Huron;Charles Perin;Luiz Morais;W. Aigner;Doris Kosminsky;Magdalena Boucher;S. Knudsen;A. Manataki;J. Aerts;Uta Hinrichs;J. C. Roberts;Sheelagh Carpendale
B. Bach;Mandy Keck;F. Rajabiyazdi;Tatiana Losev;Isabel Meirelles;J. Dykes;R. Laramee;Mashael AlKadi;C. Stoiber;Samuel Huron;Charles Perin;Luiz Morais;W. Aigner;Doris Kosminsky;Magdalena Boucher;S. Knudsen;A. Manataki;J. Aerts;Uta Hinrichs;J. C. Roberts;Sheelagh Carpendale
中科院分区:
计算机科学1区
文献类型:
--
作者:
B. Bach;Mandy Keck;F. Rajabiyazdi;Tatiana Losev;Isabel Meirelles;J. Dykes;R. Laramee;Mashael AlKadi;C. Stoiber;Samuel Huron;Charles Perin;Luiz Morais;W. Aigner;Doris Kosminsky;Magdalena Boucher;S. Knudsen;A. Manataki;J. Aerts;Uta Hinrichs;J. C. Roberts;Sheelagh Carpendale

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本文是对数据可视化教育进行研究和探讨的行动号召。随着可视化在我们的职业和个人生活中的发展和普及,我们需要了解如何支持和支持广泛和多样化的可视化学习者社区。数据可视化是一门多样化和动态的学科,它结合了来自不同领域的知识,为适应不同的受众和背景而量身定做,并经常包含隐性知识。这种复杂性给数据可视化教育带来了一系列相互关联的挑战。由于缺乏可视化教育的综合知识、概述和方向,本文的21位作者--数据可视化领域的教育工作者和研究人员--根据我们的集体实践经验确定并描述了19项挑战。我们围绕七个主题组织这些挑战:人、目标和评估、环境、动机、方法、材料和变化。在这些主题中,我们制定了43个研究问题来应对这些挑战。作为我们行动呼吁的一部分,我们随后总结了5个贯穿各领域的机会和各自的行动项目:拥抱多样性+包容性、建立社区、开展研究、灵活行事和享受责任。我们的目标是激励研究人员、教育工作者和学习者推动可视化教育向前发展,并讨论我们为什么、如何、谁和在哪里进行教育,因为我们正在学习如何使用可视化来应对快速变化的世界中多个规模和多个领域的挑战:可视化教育挑战者。
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.