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基于新课标的中小学生计算思维量表构建研究

A Study on the Construction of Computational Thinking Scale for Primary and Secondary School Students Based on New Curriculum Standards
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摘要 对学生计算思维的培养已成为数字时代的核心议题,科学、精准的评价则是培养学生计算思维能力的基础。然而,针对义务教育阶段学生的计算思维测评,目前国内尚无依托相关课程标准制定的本土化的、权威的量表。为此,研究首次依托《义务教育信息科技课程标准(2022年版)》(以下简称“新课标”)中的计算思维定义及培养要求,共以12920名(N1=1029,N2=1458,N3=10433)小学生和初中生为研究样本,运用收敛混合方法构建一个面向我国教育实际的、经严格论证的中小学生计算思维量表。结果显示:经过两轮的收敛混合分析,修改后的计算思维量表共包含5个因子及15个题项,具有良好的内容效度;经过大样本实证检验分析,量表具有良好的信效度,且具有跨性别、年级和地区测量等值性,可以用来测量中小学生的计算思维水平。 The cultivation of students'computational thinking has become a core issue in the digital era,and scientific and accurate assessment is the basis for cultivating students'computational thinking skills.However,there is no localized and authoritative scale based on relevant curriculum standards to measure students'computational thinking in compulsory education.Therefore,for the first time,this study relies on the definition and cultivation requirements of computational thinking in the Compulsory Education Information Technology Curriculum Standards(2022 Edition)(hereinafter referred to as"the new standards"),takes a total of 12,920(N1=1029,N2=1458,N3=10433)primary and junior high school students as research samples,and uses the convergent mixed method to construct a rigorously validated computational thinking scale for primary and secondary school students in China.The results show that after two rounds of convergent mixed analyses,the modified computational thinking scale contains 5 factors and 15 items with good content validity.After large-sample empirical test analysis,the scale has good reliability and validity,and has measurement equivalence across gender,grade and region,which can be used to measure the level of computational thinking of primary and secondary school students.
作者 张屹 陈邓康 付卫东 刘金芳 林裕如 丁双婷 ZHANG Yi;CHEN Dengkang;FU Weidong;LIU Jinfang;LIN Yuru;DING Shuangting(Faculty of Artificial Inteligence in Education,Central China Normal University,Wuhan Hubei 430079)
出处 《电化教育研究》 北大核心 2024年第3期90-98,共9页 E-education Research
基金 2023年国家自然科学基金面上项目“面向计算思维的中小学人工智能教育框架理论与实践研究”(项目编号:72274076) 2021年华中师范大学教师教育专项研究项目“中小学人工智能教育教材研发与应用研究”(项目编号:CCNUTEIII 2021-06)。
关键词 新课标 计算思维量表 收敛混合方法 大样本实证调研 义务教育 New Curriculum Standards Computational Thinking Scale Convergent Mixed Methods Large-sample Empirical Test Compulsory Education
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