Research on the Application of Big Data Technology in the Field of Higher Education Management—Visual Analysis Based on CiteSpace
随着教育数字化转型的深入,大数据技术在高校教育管理中的应用成为提升治理效能的重要路径。本文基于CiteSpace可视化软件,对2011年至2025年4月的430篇相关文献进行知识图谱分析,结果表明:大数据技术在高校教育管理应用的研究整体呈上升趋势;从作者和机构共现来看,发文作者和机构之间尚未建立起显著的合作网络;从关键词共现来看,“大数据”“人工智能”“教育管理”的中心性大于0.1;从关键词聚类来看,共有8组关键词聚类;从关键词突发性和时间线来看,大数据技术在高校教育管理中的应用历经技术引入与基础探索期、技术融合与应用拓展期、深化创新与全面发展期三个阶段。从研究结果来看,未来应该加强跨学科跨机构合作研究、夯实实证研究根基、促进国际交流合作。With the deepening of the digital transformation of education, the application of big data technology in higher education management has become an important path to improve governance efficiency. This paper conducts a knowledge graph analysis of 430 relevant documents from 2011 to April 2025 based on the CiteSpace visualization software. The results show that: the research on the application of big data technology in higher education management is generally on the rise; from the co-occurrence of authors and institutions, no significant cooperation network has been established among publishing authors and institutions; from the co-occurrence of keywords, the centrality of “big data”, “artificial intelligence”, and “education management” is greater than 0.1; from the keyword clustering, there are 8 groups of keyword clusters; from the keyword burstiness and timeline, the application of big data technology in higher education management has gone through three stages: the period of technology introduction and basic exploration, the period of technology integration and application expansion, and the period of deepening innovation and comprehensive development. Based on the research results, in the future, it is necessary to strengthen interdisciplinary and cross-institutional cooperation research, consolidate the foundation of empirical research, and promote international exchanges and cooperation.
Authors
- 婧瑶 刘
Publication Details
- Journal
- Operations Research and Fuzziology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.12677/orf.2025.153167
- Citations
- 1
- Primary Topic
- Medical Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.38