基于CNKI和Web of Science数据库的数学焦虑研究知识图谱分析
Knowledge Graph Analysis of Mathematics Anxiety Research Based on CNKI and Web of Science Database
DOI: 10.12677/AP.2021.112040, PDF,  被引量   
作者: 李丹阳：新疆师范大学心理学院，新疆 乌鲁木齐 ；王步遥*, 张晶晶：北京中医药大学东方学院，河北 沧州
关键词: 数学焦虑；Citespace；知识图谱；Mathematics Anxiety； Citespace； Knowledge Graph
摘要: 本文基于Citespace可视化文献分析工具，选取中国知识资源总库CNKI和全球最大的科技引文索引Web of Science核心合集(WOS)，着重对国内外2001~2020年公开发表的关于数学焦虑研究文献进行分析，绘制出关键词共现、聚类、关键词突现的科学知识图谱。旨在帮助相关研究者了解这一领域的研究热点、重点文献期刊及前沿演进，希望为推动相关领域研究的发展提供支持。
Abstract: Based on the CiteSpace visual literature analysis tool, this paper selected CNKI, the general data-base of knowledge resources in China, and the Web of Science Core Collection (WOS), the world’s largest Science citation index, to analyze the research literatures on math anxiety published from 2001 to 2020, and draw the scientific knowledge map of keyword co-occurrence, clustering and keyword emergence. The aim is to help relevant researchers to understand the research hot spots, key literature journals and cutting-edge evolution in this field, and to provide support for the development of research in this field.
文章引用：李丹阳, 王步遥, 张晶晶 (2021). 基于CNKI和Web of Science数据库的数学焦虑研究知识图谱分析. 心理学进展, 11(2), 352-359. https://doi.org/10.12677/AP.2021.112040

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