丰富的图片：在复杂环境中进行感知的视觉方法

IF 1.1 3区社会学 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY

American Journal of Evaluation Pub Date : 2023-12-13 DOI:10.1177/10982140231204847

Emily F. Gates

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引用次数: 0

摘要

对世界复杂性的认识提出了有关评价实践的新理论、新方法和新能力的问题。源于系统科学的方法显示了其前景；然而，许多方法需要专业知识和资源。本文探讨了丰富的图片，将其作为在复杂性中促进感性认识的一种易用、低资源方法。这种方法是通过自由手绘的方式，用图像、线条和少量的文字来丰富地说明正在发生的事情及其原因。这种方法的过程和产品类似于童年时期的精心涂鸦，但却能非常有力地传达隐性知识和问题、不同观点以及行动的可能性。本文结合方法论指导、"感性创造 "理论以及在 STEM 高等教育中的应用，展示了丰富的图片如何在复杂性中支持 "感性创造"，并指出了该方法的潜在应用和研究方向。

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Rich Pictures: A Visual Method for Sensemaking Amid Complexity

Recognition of the complexity of the world raises questions about new theories, methods, and capabilities for evaluation practice. Approaches originating in the systems sciences show promise; however, many require specialized expertise and resources. This article explores rich pictures as an accessible, low-resource method for facilitating sensemaking amid complexity. The method involves the free-hand drawing of a situation to richly illustrate what is happening and why using images, lines, and few words. The process and product are akin to elaborate childhood doodles, yet are remarkably powerful conveyors of tacit knowledge and issues, differing perspectives, and action possibilities. Drawing together methodological guidance, sensemaking theory, and an application with STEM higher education faculty, this article shows how rich pictures support sensemaking amid complexity and identifies potential applications and directions for research on the method.

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来源期刊

American Journal of Evaluation SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

4.40

自引率

11.80%

发文量

期刊介绍： The American Journal of Evaluation (AJE) publishes original papers about the methods, theory, practice, and findings of evaluation. The general goal of AJE is to present the best work in and about evaluation, in order to improve the knowledge base and practice of its readers. Because the field of evaluation is diverse, with different intellectual traditions, approaches to practice, and domains of application, the papers published in AJE will reflect this diversity. Nevertheless, preference is given to papers that are likely to be of interest to a wide range of evaluators and that are written to be accessible to most readers.