教师的计算思维内容知识:开发测量工具

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Sara Monteyne , Charlotte Struyve , Natacha Gesquière , Tom Neutens , Francis Wyffels , Johan van Braak , Koen Aesaert
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引用次数: 0

摘要

计算思维已成为全球课程不可或缺的组成部分,教师必须培养学生的计算思维能力。为了有效地满足这些课程要求,教师本身需要具备扎实的计算思维内容知识基础,也就是他们在这一领域所掌握的理解和技能。然而,尽管人们普遍认识到这一需求,却很少有研究对教师在这一领域的内容知识进行严格的考察。要弥补这一差距,就必须开发高质量的测量工具。本研究详细介绍了作为佛兰德斯 2023 年国际计算机与信息素养研究(ICILS)一部分的工具的开发情况,该工具旨在以有效、可靠的方式测量初中教师的计算思维内容知识。文章首先概述了该工具的构建过程,其中涉及与该领域专家的密切合作,并借鉴了 Fraillon 等人(2023 年)的框架。随后,介绍了该工具的心理测量特性,包括项目层面和整体工具特性。我们运用经典测验理论和项目反应理论,通过 352 名参与者的样本数据对这些特性进行了评估。最终工具由 16 道选择题和简短的结构式回答题组成。结果表明,该工具具有良好的题项和整体特征,从而肯定了它以有效和准确的方式测量预期建构的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teachers’ computational thinking content knowledge: Development of a measurement instrument
Computational thinking has become an integral component of curricula worldwide, necessitating teachers to develop this competence in their students. To effectively meet these curricular requirements, teachers themselves need a solid foundation of computational thinking content knowledge, which refers to the understanding and skills they possess in this area. However, despite widespread recognition of this need, few studies have rigorously examined teachers' content knowledge in this domain. Addressing this gap requires the development of high-quality measurement tools. This study details the development of an instrument, created as part of the International Computer and Information Literacy Study (ICILS) 2023 in Flanders, to measure lower secondary school teachers' computational thinking content knowledge in a valid and reliable way. The article first outlines the construction process of the instrument, which involved close collaboration with experts in the field and drew upon the framework of Fraillon et al. (2023). Following this, the instrument's psychometric properties are presented, which include both item-level and overall instrument characteristics. These properties were evaluated using data from a sample of 352 participants, applying both Classical Test Theory and Item Response Theory. The final tool consists of sixteen multiple-choice and short constructed response questions. The results indicate favorable item and overall instrument characteristics, thereby affirming its potential to measure the intended construct in a valid and accurate way.
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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