数学在教育中的移动应用系统文献综述

G. Balasubramaniam, Murugan Rajoo, Mohd Faizal Nizam Lee Bin Abdullah
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引用次数: 0

摘要

在当今的教学系统中使用移动应用程序是一个活跃的研究领域。本研究是一项系统文献综述(SLR),使用PRISMA模型,通过识别各种适当和相关的文献来确定移动应用程序在教育中的可用性。根据Google Scholar、ERIC、Scopus、Research gate等不同搜索引擎的研究确定的标准进行数据搜索,对从这些数据库中获得的论文进行单反。共检索到77篇文献;其中30个与本文的目的相似。在30篇文章中,只有15篇与本研究相关。此外,数据分析使用定性的方法来描述研究结果。结果表明,已经找到了三个主要的研究主题,即研究的目的,目标人群和研究设计。概述,这些文章的分析结果表明,在马来西亚实施数学移动应用教育仍在考虑之中。这些研究结果有望为各级政府(包括地方、州和联邦政府)的教师、教育观察员和教育政策制定者以及教育部制定支持教育中数学移动应用开发的政策奠定基础。单反的研究结果让我们深入了解了该领域的主要贡献、差距和机会,从而引发了关于未来重要研究领域的讨论。
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A Systematic Literature Review on Mathematics Mobile Applications in Education
The usage of mobile applications in today’s teaching and learning system is an active area of research. This study was a Systematic Literature Review (SLR) using the PRISMA model by identifying various appropriate and relevant kinds of literature to identify the usability of mobile applications in education. Data search was carried out using criteria determined by researches from various search engines such as Google Scholar, ERIC, Scopus, Research gate and others as SLR was performed on papers obtained from these databases. In total 77 articles were retrieved; out of which 30 were similar to the purpose of this paper. Out of 30, only 15 articles were relevant to this study. Furthermore, the data were analysed using a qualitative approach to describing the research findings. The results showed that three main research themes have been found, namely the purpose of the study, targeted population and research design. Outline, the analysis results of these articles stated that the implementation of mathematics mobile applications in education is still under consideration in Malaysia. These findings are expected to serve as a foundation for teachers, education observers, and education policymakers at all levels of government, including local, state, and federal governments, as well as the Ministry of Education, to develop policies that support the development of mathematics mobile applications in education. The findings of SLR provided insight into the field's primary contributions, gaps, and chances, which created a conversation about essential research areas in future.
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