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The cognitive effects of computational thinking: A systematic review and meta-analytic study

编码(社会科学) 计算思维 工作记忆 荟萃分析 认知 心理学 执行职能 认知灵活性 计算机科学 数学教育 数学 医学 统计 内科学 神经科学
作者
Chiara Montuori,Filippo Gambarota,Gianmarco Altoè,Barbara Arfé
出处
期刊:Computers & education [Elsevier BV]
卷期号:210: 104961-104961 被引量:52
标识
DOI:10.1016/j.compedu.2023.104961
摘要

In this paper, we review and meta-analyze the findings of experimental studies published between 2006 and 2022 that examined the effects of coding and programming interventions on children's core and higher order executive functions (response inhibition, working memory, cognitive flexibility, planning and problem solving). The systematic review and meta-analysis aimed to address three research questions: 1) Which executive functions are most impacted by the teaching of CT? 2) Which instructional modality (educational robotics/virtual coding/unplugged coding) is most effective in enhancing executive function skills in learners aged 4–16 years? and 3) Does the cognitive effectiveness of coding vary with children's age? A total of 19 studies with 1523 participants met the selection criterion for the systematic review. The meta-analysis included 11 of those studies. The results reveal beneficial effects of structured virtual and tangible coding (educational robotics) activities for preschoolers and first graders, and significant effects of more unstructured virtual coding activities (e.g., Scratch-based) for older students. A multivariate fixed-effects model meta-analysis shows that the teaching of coding significantly improves problem-solving with the highest effect (dppc2 = 0.89), but also planning (dppc2 = 0.36), and inhibition and working memory with lower effects (dppc2 = 0.17, dppc2 = 0.20).
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