一个简短的干预,以改善关于积累的推理.
Madison Fansher1, Poortata Lalwani2, Tyler J Adkins3
1Department of Physical Medicine and Rehabilitation, University of Michigan.
Journal of experimental psychology. Applied
|April 7, 2025
概括
许多人很难理解流入如何随着时间的推移而积累,即使在简单的动态系统中也是如此. 视频干预有效地提高了对积累的理解,并观察到持久的影响.
科学领域:
- 认知心理学 认知心理学
- 数据可视化 数据可视化
- 教育干预教育干预
背景情况:
- 之前的研究表明,在动态系统中对流入和积累概念存在广泛的误解.
- 这种认知挑战延伸到解释数据可视化,影响金融和科学素养.
研究的目的:
- 调查参与者对积累函数的理解.
- 开发和评估旨在增强对积累的理解的基于视频的干预措施.
- 评估这些教育干预措施的长期有效性.
主要方法:
- 进行了两个随机对照实验.
- 实验1使用了COVID-19数据背景,而实验2采用了更普遍的方法.
- 干预涉及基于多个数据表示之间的关系的视频插图.
主要成果:
- 很大一部分参与者 (44%-60%) 无法理解基本的积累系统,在预测中得分为0%.
- 视频干预显著改善了参与者对流入-积累关系的理解.
- 实验1中的干预效应持续了6-7周.
结论:
- 对许多人来说,理解简单的积累函数是一个相当大的挑战.
- 基于视频的干预措施有效地弥合了理解积累和流入动态的差距.
- 开发的干预措施为提高数据素养和理解动态系统提供了一个有希望的方法.
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