Salman Firdaus Sidek, M. H. M. Yatim, Che Soh Said
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引用次数: 0
摘要
由于计算思维这个术语在2017年初才被引入马来西亚的教育领域,因此对它的了解仍然有限。因此,为了确定其特征和与该技能相关的全球研究模式,本文进行了文献综述映射。IEEEXplore、Science Direct和Web of Science从其他13个知识库中被选为文章的主要来源。在选定的知识库中,运用计算思维,以标点符号“”作为关键词,共找到325篇文章。在这一总数中,109篇文章符合标准,只有86篇文章被引用,另外还有30篇多类型引用。最后,从29篇参考文章中生成66个特征,这些特征与计算思维技能的表征有关。在这些特征中,识别出三个频率最高的特征。它由两个特征组成,即算法和抽象,这两个特征通常在高等教育水平上进行评估,另外两个特征被认为是技能的真正本质,即抽象和分解,其中一个是重叠的。因此,建议将这三个特征列入与高等教育学习有关的任何研究的变量列表中。
Characterizing Computational Thinking for Tertiary Education Learning
As the term computational thinking was just introduced into Malaysian education landscape in early 2017, the knowledge about it is still limited. Therefore, a literature review mapping has been done in order to identify its features and global research pattern related to this skill. IEEEXplore, Science Direct, and Web of Science were selected as the main sources of the articles out of 13 other repositories. The total of 325 articles were found by using computational thinking with punctuation marks " " as keywords via selected repositories. Out of this total, 109 articles have met the criteria and only 86 articles were referred together with another 30 additional multi-type references. Finally, 66 features were generated from 29 referred articles related to the characterization of computational thinking skill. Among these features, three with the highest frequency were identified. It made up of two features that often assessed at tertiary education level namely algorithm and abstraction as well as two other features that are said as the true essence of the skill namely abstraction and decomposition with one of them is overlapped. Therefore, these three features are suggested to be in the list of variables of any research related to tertiary education learning.