近十年小学研究性学习的研究趋势:确定未来的机会

R. Setiani
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引用次数: 0

摘要

在过去的十年里,小学研究性学习的研究得到了发展,了解小学研究性学习的趋势和发展成为一个有趣的研究课题,从而成为一个研究机会。本研究旨在分析近十年来关于小学教育探究的研究趋势、研究者的贡献以及研究最多的研究课题,并找出未来小学教育探究的潜在研究课题。本研究采用文献计量分析方法,使用Google Scholar数据库和软件VOSviewer,共获取文献13.8万篇。文献计量分析的结果显示,在过去的十年里,小学研究性学习经历了持续的下降。这是下一个挑战,也是未来研究的机会。与小学探究性学习相关的进一步研究可以使用和应用基于stem的方法,即科学、技术、工程和数学。这是因为基于stem的探究模式可以提高学生的批判性思维和解决问题的能力。本研究存在局限性,即仅使用一个数据库Google Scholar来获取研究数据。因此,建议使用除Google Scholar之外的其他数据库进行小学探究性学习研究,以获得更广泛的数据。
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Research Trend of Inquiry Learning in Elementary School in the Last 10 Years: To Determine the Opportunities in the Future
Inquiry Learning in Elementary School research has evolved in the last ten years, making it an interesting topic to research to understand the trends and developments of Inquiry Learning in Elementary School so that it becomes a research opportunity. This study aims to analyze research trends, researchers' contributions, and the most researched research topics on the topic of Inquiry in Elementary School in education over the past ten years and identify potential research topics related to Inquiry in Elementary School in Education in the future. This study uses the bibliometric analysis method using Google Scholar database and Software VOSviewer, where 138,000 articles were obtained. The results of the bibliometric analysis show that Inquiry Learning in Elementary School research has experienced a consistent decline in the last ten years. This becomes the next challenge, and opportunity for future research. Further research related to Inquiry Learning in Elementary School can be used and applied with a STEM-based approach namely Science, technology, engineering, and mathematics. This is because the stem-based Inquiry model can improve students' critical thinking and problem-solving skills. This study has limitations, namely only using one database, Google Scholar, to obtain research data. Therefore, it is recommended that Inquiry Learning in Elementary School research be carried out using other databases besides Google Scholar to obtain more extensive data.
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发文量
10
审稿时长
4 weeks
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