数据可视化方面的挑战和机遇 教育:呼吁采取行动
IEEE transactions on visualization and computer graphics
|November 7, 2023
概括
这篇论文确定了数据可视化教育中的19个挑战,提供了43个研究问题和5个行动项目,以推进该领域. 它要求在教学数据可视化方面增加多样性,社区建设,研究,灵活性和责任.
科学领域:
- 数据可视化 教育教育 数据可视化
- 信息科学 信息科学 信息科学
- 人与计算机的交互
背景情况:
- 数据可视化越来越多地成为专业和个人生活的组成部分.
- 该学科的复杂性和多样化的应用提出了独特的教育挑战.
- 在数据可视化教育中需要整合的知识和指导.
研究的目的:
- 识别和阐述数据可视化教育中的关键挑战.
- 刺激研究和讨论改善数据可视化教学.
- 为推进数据可视化教育提供框架.
主要方法:
- 21位数据可视化教育工作者和研究人员的共同努力.
- 根据实际经验,确定和描述了19个挑战.
- 将挑战分为七个主题:人,目标和评估,环境,动机,方法,材料和变化.
主要成果:
- 在数据可视化教育中,有19个不同的挑战被确定和描述.
- 为了应对这些挑战,制定了43个研究问题.
- 提出了五个跨领域的机会 (多样性+包容,社区,研究,敏捷,责任).
结论:
- 数据可视化教育需要采取积极主动,包容性和研究驱动的方法.
- 建立社区和采用敏捷方法对于进步至关重要.
- 应对这些挑战将赋予数据可视化学习者的多元化社区.
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