在协作沉浸式分析中进行非正式的技能分享
概括
在虚拟现实分析中非正式的技能分享有助于新手学习数据分析. 这项研究确定了14种类型的技能共享和问题,以改进协作学习工具.
科学领域:
- 人与计算机的交互
- 数据可视化 数据可视化
- 协作系统 协作系统 协作系统
背景情况:
- 沉浸式分析系统的新手用户很难以非正式的方式获得数据分析技能.
- 在虚拟现实 (VR) 环境中的有效协作可以促进技能获取.
- 了解非正式技能分享机制对于设计更好的学习工具至关重要.
研究的目的:
- 研究如何在VR的协作分析中非正式地分享数据素养技能.
- 确定在沉浸式分析中改善非正式技能共享的挑战和机会.
- 为设计工具提供信息,以促进虚拟环境中的协作学习.
主要方法:
- 一个实验进行了,对参与者在共享VR环境中分析散射图.
- 一种混合方法方法分析了视频,日志数据和主观经验.
- 共同基础理论和接地过程为技能共享事件的分析提供了信息.
主要成果:
- 确定了101个非正式技能分享事件,并将其分类为14种反复出现的类型.
- 发现了阻碍有效技能共享的具体问题.
- 提出了六个设计意义,以加强沉浸式分析中的非正式技能共享.
结论:
- 非正式的技能共享是初学者在协作沉浸式分析中学习的可行机制.
- 该研究为设计VR系统提供了基础,可以积极支持和改进数据素养技能转移.
- 开发的方法可以适应在其他协作嵌入式系统中学习技能共享.
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