{"title":"THE HOTSPOTS AND TRENDS ON LEARNING STRATEGIES UNDER THE BACKGROUND OF BIG DATA: BASED ON CITESPACE","authors":"Li Shan, Aer Yiha, Zhaojingping","doi":"10.37500/ijessr.2022.5513","DOIUrl":null,"url":null,"abstract":"Learning techniques have joined the big data era with the quick rise of the technology reform. However, there is little research on big data (Learning Strategies) from the perspectives of bibliometrics and knowledge map visualization. It is also uncommon to find substantial study on the fundamentals of learning strategies themselves. This study aims to explore the current status of learning strategies big data through visualization analysis of the journal papers related to learning strategies. The author analyzed a total of 718 articles that were downloaded from the Web of Science Core Collection and the time span was set from 2016 to 2021. The CiteSpace software 6.1.R3 was used for analysis. This paper presents numerous findings about annual trends, top players at the journal and institute levels, country-level citations, keyword distribution, co-authorship status, and the most significant journals and authors. In the end, this study points out the development status and trends in learning strategies. It can help people in the education profession to get a comprehensive understanding of the state of the art of learning strategies. Additionally, it offers reference points for the study and use of learning methodologies visualizing techniques.","PeriodicalId":162035,"journal":{"name":"International Journal of Education and Social Science Research","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Education and Social Science Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37500/ijessr.2022.5513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Learning techniques have joined the big data era with the quick rise of the technology reform. However, there is little research on big data (Learning Strategies) from the perspectives of bibliometrics and knowledge map visualization. It is also uncommon to find substantial study on the fundamentals of learning strategies themselves. This study aims to explore the current status of learning strategies big data through visualization analysis of the journal papers related to learning strategies. The author analyzed a total of 718 articles that were downloaded from the Web of Science Core Collection and the time span was set from 2016 to 2021. The CiteSpace software 6.1.R3 was used for analysis. This paper presents numerous findings about annual trends, top players at the journal and institute levels, country-level citations, keyword distribution, co-authorship status, and the most significant journals and authors. In the end, this study points out the development status and trends in learning strategies. It can help people in the education profession to get a comprehensive understanding of the state of the art of learning strategies. Additionally, it offers reference points for the study and use of learning methodologies visualizing techniques.
随着技术变革的迅速兴起,学习技术也加入了大数据时代。然而,从文献计量学和知识地图可视化的角度对大数据(学习策略)的研究却很少。对学习策略本身的基本原理进行实质性的研究也很少见。本研究旨在通过对学习策略相关期刊论文的可视化分析,探讨学习策略大数据的现状。作者分析了从Web of Science核心馆藏中下载的718篇文章,时间跨度为2016年至2021年。CiteSpace软件6.1。R3用于分析。本文介绍了许多关于年度趋势、期刊和研究所级别的顶级参与者、国家级引用、关键字分布、合作作者状态以及最重要的期刊和作者的发现。最后,本研究指出了学习策略的发展现状和趋势。它可以帮助教育专业人士全面了解学习策略的现状。此外,它为学习方法可视化技术的研究和使用提供了参考点。