张锴, 付昆昆, 汤可可等. 基于CiteSpace知识图谱的材料力学课程研究可视化分析. 力学与实践, 2024, 46(2): 447-456. DOI: 10.6052/1000-0879-23-463
引用本文: 张锴, 付昆昆, 汤可可等. 基于CiteSpace知识图谱的材料力学课程研究可视化分析. 力学与实践, 2024, 46(2): 447-456. DOI: 10.6052/1000-0879-23-463
Zhang Kai, Fu Kunkun, Tang Keke, et al. Visualization analysis of research on mechanics of materials course based on CiteSpace knowledge graph. Mechanics in Engineering, 2024, 46(2): 447-456. DOI: 10.6052/1000-0879-23-463
Citation: Zhang Kai, Fu Kunkun, Tang Keke, et al. Visualization analysis of research on mechanics of materials course based on CiteSpace knowledge graph. Mechanics in Engineering, 2024, 46(2): 447-456. DOI: 10.6052/1000-0879-23-463

基于CiteSpace知识图谱的材料力学课程研究可视化分析

VISUALIZATION ANALYSIS OF RESEARCH ON MECHANICS OF MATERIALS COURSE BASED ON CITESPACE KNOWLEDGE GRAPH

  • 摘要: 利用知识图谱技术,借助可视化计量分析平台CiteSpace,对中国知网数据库中有关材料力学课程研究的相关文献进行了分析,通过对研究者合作关系、研究机构合作关系以及研究关键词的关联、聚类和演变分析,揭示我国材料力学教学研究现状,展望未来的发展趋势。通过可视化分析,得出结论:材料力学教学研究呈现出部分集中、整体分散的态势,基于互联网技术的虚拟教研室有望打破机构间的合作壁垒;研究热点关键词的演化规律符合时代特征,从早期的教材建设和知识点的讲授,到近期的新工科、课程思政和虚拟仿真;结合人工智能技术的辅助教学方法是未来的发展趋势。

     

    Abstract: This paper utilizes knowledge graph technology and the visual metric analysis platform CiteSpace to analyze literatures on the study of the mechanics of material course in the China National Knowledge Infrastructure (CNKI) database. By analyzing the cooperative relationships in research, institutional cooperation, and the association, clustering, and evolution of research keywords, it elucidates the current status of the teaching research of mechanics of material in China and forecasts future development trends. Through visual analysis, it concludes that the research on the teaching of mechanics of material presents a partially concentrated and overall dispersed trend. Virtual teaching and research rooms based on internet technology are expected to break down cooperation barriers between institutions. The evolution of hot research keywords conforms to the characteristics of the times, from early textbook construction and knowledge point teaching to recent emerging engineering education, ideological and political education, and virtual simulation. The teaching method assisted by artificial intelligence technology is the future development trend.

     

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