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创建可视化解释有助于学习。

Creating visual explanations improves learning.

作者信息

Bobek Eliza, Tversky Barbara

机构信息

University of Massachusetts Lowell, Lowell, MA USA.

Stanford University, Columbia University Teachers College, New York, NY USA.

出版信息

Cogn Res Princ Implic. 2016;1(1):27. doi: 10.1186/s41235-016-0031-6. Epub 2016 Dec 7.

Abstract

Many topics in science are notoriously difficult for students to learn. Mechanisms and processes outside student experience present particular challenges. While instruction typically involves visualizations, students usually explain in words. Because visual explanations can show parts and processes of complex systems directly, creating them should have benefits beyond creating verbal explanations. We compared learning from creating visual or verbal explanations for two STEM domains, a mechanical system (bicycle pump) and a chemical system (bonding). Both kinds of explanations were analyzed for content and learning assess by a post-test. For the mechanical system, creating a visual explanation increased understanding particularly for participants of low spatial ability. For the chemical system, creating both visual and verbal explanations improved learning without new teaching. Creating a visual explanation was superior and benefitted participants of both high and low spatial ability. Visual explanations often included crucial yet invisible features. The greater effectiveness of visual explanations appears attributable to the checks they provide for completeness and coherence as well as to their roles as platforms for inference. The benefits should generalize to other domains like the social sciences, history, and archeology where important information can be visualized. Together, the findings provide support for the use of learner-generated visual explanations as a powerful learning tool.

摘要

科学中的许多主题对学生来说 notoriously 难学。学生经验之外的机制和过程带来了特殊挑战。虽然教学通常涉及可视化,但学生通常用文字进行解释。由于视觉解释可以直接展示复杂系统的组成部分和过程,创建视觉解释应该比创建文字解释有更多益处。我们比较了为两个 STEM 领域(一个机械系统(自行车打气筒)和一个化学系统(化学键))创建视觉或文字解释时的学习情况。通过后测对两种解释的内容和学习情况进行了分析评估。对于机械系统,创建视觉解释尤其提高了空间能力较低的参与者的理解。对于化学系统,创建视觉和文字解释都在没有新教学的情况下提高了学习效果。创建视觉解释更具优势,对空间能力高和低的参与者都有益。视觉解释通常包括关键但不可见的特征。视觉解释的更大有效性似乎归因于它们对完整性和连贯性的检查以及它们作为推理平台的作用。这些益处应该推广到社会科学、历史和考古学等其他领域,在这些领域重要信息可以可视化。总之,这些发现为将学习者生成的视觉解释用作强大的学习工具提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a339/6091311/bca94e961772/41235_2016_31_Fig1_HTML.jpg

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