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解析学生计算思维的发展:一种理论驱动的过程性数据分析取向

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计算思维被视为21世纪学生必备的一项核心素养.在这一背景下,如何测量计算思维成为近十年来研究者关注的热点话题.本研究立足于问题解决的过程提出了一个整合式的计算思维认知模型.在此基础上,根据学生编程的过程性数据开发了一套编码方案和评分标准.经前后两次测试的研究结果发现,基于过程性数据的测评方法适用于揭示学生在计算思维上的进步.同时,质性研究的结果进一步描述了学生计算思维发展的具体表现.总的来说,本研究为基于过程性数据测量计算思维提供了一种新的视角.
Analyzing the Development of Students'Computational Thinking:A Theory-driven Approach Using Process Data
Computational thinking(CT)is one of the key competencies for students in the 21st century.Therefore,how to measure computational thinking has received increasing attention over the past decade.In this study,we proposed an integrated computational thinking cognitive model from the perspective of the problem-solving process.On this basis,we developed a coding scheme and scoring rubric according to the process data from student programming.The results from two rounds of testing indicated that assessment methods based on process data are suitable for identifying students'progress in computational thinking.In addition,this study described the specific manifestations of students'CT development through qualitative analysis.Overall,this study provides a new perspective on measuring CT based on process data.

computational thinking assessmentcognitive modelprocess dataScratch

吴方文、杨向东

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杭州师范大学经亨颐教育学院

杭州师范大学中国教育现代化研究院(杭州 311121)

华东师范大学教育心理学系(上海 200062)

计算思维测评 认知模型 过程性数据 Scratch

全国教育科学"十三五"规划2020年度国家一般项目

BHA200132

2024

全球教育展望
华东师范大学

全球教育展望

CSTPCDCSSCICHSSCD北大核心
影响因子:1.268
ISSN:1009-9670
年,卷(期):2024.53(3)
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