近十年来数学学习中的计算思维研究:文献计量学综述

IF 1.3 Q3 EDUCATION, SCIENTIFIC DISCIPLINES International Journal of Education in Mathematics Science and Technology Pub Date : 2023-10-23 DOI:10.46328/ijemst.3086
Ilham Muhammad, Husnul Khatimah Rusyid, Swasti Maharani, Lilis Marina Angraini
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引用次数: 0

摘要

本研究旨在描绘过去十年中计算思维(CT)在数学学习中的重要性。本研究为文献综述性研究,从Scopus数据库中收集了113篇文献,并借助Vosviewer应用程序对文献计量学分析方法进行了分析。从Scopus数据库中获取的数据经过改进,成为113篇出版物。研究结果表明,出版物分布在美洲、亚洲、非洲和欧洲等各大洲。美国和英国是最具影响力的国家,在这一领域与其他国家的合作程度很高。本研究的主要结论是计算思维在数学和STEM学习中具有重要作用。在数学课程中融入计算思维可以提高学生对数学的理解,帮助他们面对数字时代的挑战。此外,制定有效的数学教师培训方法,评估好的计算思维学习工具和平台,有助于提高数学情境下计算思维教学的有效性。这些创新将有助于更好地理解如何将计算思维有效地整合到数学学习中,并使学生为充满数字技术的未来做好准备。
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Computational Thinking Research in Mathematics Learning in the Last Decade: A Bibliometric Review
This study aims to map the landscape of the importance of previous research on computational thinking (CT) in mathematics learning over the last decade. This research is a literature review research, there are 113 publications collected from the Scopus database which are then analyzed using the bibliometric analysis method assisted by the Vosviewer application. The data taken from the Scopus database was refined so that it became 113 publications. The results of the study show that publications are spread across various continents, including America, Asia, Africa, and Europe. The United States and the United Kingdom are the most influential countries and have high cooperation with other countries in this field. The main conclusion from this study is that computational thinking has an important role in learning mathematics and STEM. The integration of computational thinking in the mathematics curriculum can improve students' understanding of mathematics and help them face the challenges of the digital age. In addition, the development of effective training methods for mathematics teachers as well as the assessment of good computational thinking learning tools and platforms can help improve the effectiveness of computational thinking teaching in mathematics contexts. These innovations will help better understand how computational thinking can be effectively integrated in mathematics learning and prepare students for a future filled with digital technologies.
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