Unravelling the numerical and spatial underpinnings of computational thinking: a pre-registered replication study

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH
Sabrina Finke, Ferenc Kemény, M. Sommer, Vesna Krnjic, M. Arendasy, W. Slany, K. Landerl
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引用次数: 3

Abstract

ABSTRACT Background Key to optimizing Computational Thinking (CT) instruction is a precise understanding of the underlying cognitive skills. Román-González et al. (2017) reported unique contributions of spatial abilities and reasoning, whereas arithmetic was not significantly related to CT. Disentangling the influence of spatial and numerical skills on CT is important, as neither should be viewed as monolithic traits. Objective This study aimed (1) to replicate the results of a previous study by Román-González et al. (Computers in Human Behaviour 72), and (2) to extend this research by investigating other theoretically relevant constructs. Specifying the contribution of reasoning (i.e. numerical, figural), numerical skills (i.e. arithmetic, algebra), and spatial skills (i.e. visualization, mental rotation, short-term memory) helps to better understand the cognitive mechanisms underlying CT. Method We investigated a sample of 132 students from Grades 7–8 (age range 12–15 years). Participants completed the Computational Thinking test, as well as a variety of psychometric assessments of reasoning, numerical, and spatial skills. To determine which cognitive skills are relevant for CT, we calculated bivariate correlations and performed a linear regression analysis. Findings Results confirmed unique contributions of figural reasoning and visualization. Additional variance was explained by algebraic skills. Implications We conclude that CT engages cognitive mechanisms extending beyond reasoning and spatial skills.
解开计算思维的数字和空间基础:一项预先注册的复制研究
优化计算思维(CT)教学的关键是对潜在认知技能的准确理解。Román-González等人(2017)报道了空间能力和推理的独特贡献,而算术与CT没有显著相关。分离空间和数字技能对CT的影响是很重要的,因为两者都不应被视为单一的特征。本研究的目的是:(1)复制Román-González等人之前的研究结果(Computers in Human Behaviour 72),(2)通过研究其他理论相关结构来扩展本研究。具体说明推理(即数值、图形)、数值技能(即算术、代数)和空间技能(即可视化、心理旋转、短期记忆)的贡献有助于更好地理解CT背后的认知机制。方法对132名7-8年级(12-15岁)学生进行调查。参与者完成了计算思维测试,以及推理、数字和空间技能的各种心理测量评估。为了确定哪些认知技能与CT相关,我们计算了双变量相关性并进行了线性回归分析。结果证实了图形推理和可视化的独特贡献。额外的差异可以用代数技巧来解释。我们得出结论,CT涉及超越推理和空间技能的认知机制。
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来源期刊
Computer Science Education
Computer Science Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.90
自引率
3.70%
发文量
23
期刊介绍: Computer Science Education publishes high-quality papers with a specific focus on teaching and learning within the computing discipline. The journal seeks novel contributions that are accessible and of interest to researchers and practitioners alike. We invite work with learners of all ages and across both classroom and out-of-classroom learning contexts.
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