Design and validation of learning trajectory-based assessments for computational thinking in upper elementary grades

Design and validation of learning trajectory-based assessments for computational thinking in upper elementary grades
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小学高年级计算思维的基于学习轨迹的评估的设计和验证

DOI:
10.1080/08993408.2021.1874221
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发表时间:
2021
影响因子:
2.7
通讯作者:
Pellegrino, James W.
Pellegrino, James W.
中科院分区:
--
文献类型:
--
作者:
Gane, Brian D.;Israel, Maya;Elagha, Noor;Yan, Wei;Luo, Feiya;Pellegrino, James W.

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背景和背景:我们描述了计算思维(CT)评估的基本原理、设计和初步验证,以与整合分数和CT的课程课程相结合。 目的:我们使用认知模型CT(学习轨迹; LTs)设计评估,并获得证据来支持有效性论证 方法:本研究以实证研究为基础,以三、四年级共144名学生为研究对象,采用语言测试法进行评估。我们使用多种心理测量方法分析数据。 调查结果:设计方法和数据分析表明,评估是非常适合评估学生的CT知识,技能和能力,在多个LT。 含义:我们展示了如何使用LT设计评估,可以产生有效的推论学生的CT能力,这些方法可以通过和扩展其他人创建额外的评估,可以推进计算机科学教育。
Background & Context: We describe the rationale, design, and initial validation of computational thinking (CT) assessments to pair with curricular lessons that integrate fractions and CT. Objective: We used cognitive models of CT (learning trajectories; LTs) to design assessments and obtained evidence to support a validity argument Method: We used the LTs and evidence-centered design to develop assessments that 144 Grade 3 and Grade 4 elementary students completed following the integrated instruction. We analyzed data using multiple psychometric approaches. Findings: The design approach and data analysis suggest that the assessments are well-suited to evaluate students’ CT knowledge, skills and abilities across multiple LTs. Implications: We show how to use LTs to design assessments that can yield valid inferences about students’ CT competencies; these methods can be adopted and extended by others to create additional assessments that can advance computer science education.
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