Characterizing Computational Thinking for the Learning of Tertiary Educational Programs

Salman Firdaus Sidek, Che Soh Said, Maizatul Hayati Mohamad Yatim
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引用次数: 3

Abstract

Computational thinking is a new concept that is hardly known by most ordinary Malaysians. On a positive note, in 2017, the Ministry of Education of Malaysia implemented a new curriculum by introducing two new secondary school subjects, namely Fundamental of Computer Science and Computer Science. These subjects contain five components of computational thinking called ‘techniques, which are taught to Form 1 and Form 4 students, respectively. Likewise, the Department of Teachers Education of Malaysia also introduced six components of computational thinking in its training programs. In contrast, there is a lack of attention to such a concept given to tertiary education. A preliminary survey was conducted in early 2019, which involved 50 students majoring in 21 educational programs. The findings showed 92% of the respondents had no knowledge regarding the computational thinking skill, signifying an urgent need to determine relevant components that characterize such a skill needed in educational programs, which according to Wing (2006) has numerous components. In this study, the researchers aimed to identify relevant components that characterize the computational thinking skill required for students in learning educational programs. An extensive review of documents published in leading online databases, such as IEEEXplore, Science Direct, and Web of Science, was carried out that yielded 116 articles. Further analysis reduced this number to 29 articles that were related to the characterization of the computational thinking skill with 66 components. Among these components, algorithm, abstraction, and decomposition were the top three components with the highest frequency of being cited in the selected articles, registering percentage points of 9.78%, 7.41%, and 5.35%, respectively. As such, the design and development of new instructional approaches for the teaching of educational programs should emphasize three components to help students develop strong computational thinking skills.
高等教育课程学习的计算思维特征
计算思维是一个新概念,大多数普通马来西亚人几乎不知道。积极的一面是,2017年,马来西亚教育部实施了一项新课程,引入了两门新的中学科目,即计算机科学基础和计算机科学。这些科目包括计算思维的五个组成部分,称为“技巧”,分别教中一和中四学生。同样,马来西亚教师教育部门也在其培训项目中引入了计算思维的六个组成部分。相比之下,高等教育缺乏对这一概念的重视。一项初步调查于2019年初进行,涉及21个教育专业的50名学生。调查结果显示,92%的受访者对计算思维技能一无所知,这表明迫切需要确定教育项目中所需技能的相关组成部分,根据Wing(2006)的说法,这一技能有许多组成部分。在这项研究中,研究人员旨在确定学生在学习教育课程时所需的计算思维技能的相关组成部分。对发表在主要在线数据库(如IEEEXplore、Science Direct和Web of Science)上的文献进行了广泛的审查,共产生116篇文章。进一步的分析将这一数字减少到29篇文章,这些文章与66个组成部分的计算思维技能的特征有关。在这些成分中,算法、抽象和分解是入选文章中被引用频率最高的前三个成分,分别为9.78%、7.41%和5.35%。因此,设计和开发新的教学方法的教育计划的教学应强调三个组成部分,以帮助学生培养强大的计算思维能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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