大学学生在可视化课堂上学到的东西
IEEE transactions on visualization and computer graphics
|September 11, 2024
概括
学生在大学课程后展示了改进的可视化技能,如设计同理心和解构能力. 然而,定量评估显示得分没有增加,这突显了对可视化素养的新测量工具的需求.
科学领域:
- 数据可视化 数据可视化
- 教育心理学教育心理学
- 人与计算机的交互
背景情况:
- 提高可视化素养对于数据解释至关重要.
- 大学课程旨在提高学生理解和参与数据可视化的能力.
- 现有的评估可能无法捕捉到可视化素养的所有方面.
研究的目的:
- 为了调查学生在大学水平课程后对阅读可视化方法的变化.
- 为了定性地分析学生如何理解不熟悉的可视化教学后.
- 评估当前定量评估在测量可视化素养的课程相关收益方面的有效性.
主要方法:
- 学生口头"走过"他们解释新奇可视化的过程.
- 对这些口头讲解进行了定性分析.
- 在课程开始前和结束后,对可视化素养进行了定量评估.
主要成果:
- 课程结束后,学生表现出增强的"设计同理心",批判性地考虑设计选择.
- 学生们表现出更好的能力"解构"可视化理解.
- 没有观察到定量可视化识字得分的显著改善,可能是由于评估不对齐.
结论:
- 可视化课程可以培养对数据的复杂参与,包括设计同理心和解构.
- 当前的定量可视化识字评估可能与大学课程中强调的技能不一致.
- 建议开发新的,标准化的评估来进行解构和设计同理心.
- 建议将这些高级技能更明确地纳入可视化课程.
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