Leveraging Evidence-Centered Design to Develop Assessments of Computational Thinking Practices

IF 1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY International Journal of Testing Pub Date : 2019-04-03 DOI:10.1080/15305058.2018.1543311
E. Snow, Daisy W. Rutstein, Satabdi Basu, M. Bienkowski, H. Everson
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引用次数: 13

Abstract

Computational thinking is a core skill in computer science that has become a focus of instruction in primary and secondary education worldwide. Since 2010, researchers have leveraged Evidence-Centered Design (ECD) methods to develop measures of students’ Computational Thinking (CT) practices. This article describes how ECD was used to develop CT assessments for primary students in Hong Kong and secondary students in the United States. We demonstrate how leveraging ECD yields a principled design for developing assessments of hard-to-assess constructs and, as part of the process, creates reusable artifacts—design patterns and task templates—that inform the design of other, related assessments. Leveraging ECD, as described in this article, represents a principled approach to measuring students’ computational thinking practices, and situates the approach in emerging computational thinking curricula and programs to emphasize the links between curricula and assessment design.
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利用以证据为中心的设计开发计算思维实践评估
计算思维是计算机科学的核心技能,已成为世界中小学教育的重点。自2010年以来,研究人员利用以证据为中心的设计(ECD)方法来制定学生计算思维(CT)实践的衡量标准。本文介绍了ECD如何用于香港小学生和美国中学生的CT评估。我们展示了利用ECD如何产生一种原则性设计,用于开发难以评估的结构的评估,并作为过程的一部分,创建可重复使用的工件——设计模式和任务模板——为其他相关评估的设计提供信息。如本文所述,利用ECD代表了一种衡量学生计算思维实践的原则性方法,并将该方法置于新兴的计算思维课程和项目中,以强调课程和评估设计之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Testing
International Journal of Testing SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.60
自引率
11.80%
发文量
13
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