基于CiteSpace的高等教育与人工智能研究的可视化分析——以2014—2024年CNKI文献为例  

Visual Analysis of Higher Education and AI Research Based on CiteSpace-Taking the 2014-2024 CNKI Literature as an Example

作　　者：徐茂森[1] 赵燕[1] 赵婵娟[1] XU Maosen;ZHAO Yan;ZHAO Chanjuan(Chongqing Three Gorges Vocational College,Chongqing 404155,China)

机构地区：[1]重庆三峡职业学院,重庆404155

出　　处：《现代信息科技》2025年第8期174-179,184,共7页Modern Information Technology

基　　金：重庆市教育委员会科研项目(KJQN202403529);重庆三峡职业学院横向课题(sxzy-202402025);重庆三峡职业学院校级科研项目(sxzy-2023td-005)。

摘　　要：研究利用CiteSpace对人工智能在高等教育中的应用进行了可视化分析,以揭示研究热点、前沿动态及发展趋势。以CNKI数据库为数据来源,构建了知识图谱,并深入探讨了高等教育评价与人工智能应用的研究现状与未来方向。结果显示,人工智能技术显著影响教育核心领域,重塑了现代教育结构、流程和目标。高等教育与人工智能融合初见成效,但智能教学系统和教育治理仍有待深入探索。研究识别了三个主要热点:AI驱动的个性化学习、教育的数字化转型及后疫情时代的在线教育发展。未来研究应聚焦于促进智能教学系统的广泛应用,教育模式更加高效创新。This research employs CiteSpace to carry out visual analysis for the application of AI in higher education,aiming to reveal research hotspots,frontiers and development trends.Using the CNKI database as the data source,this paper constructs a Knowledge Graph and explores the current research state and future direction of higher education assessment and AI application deeply.The results show that AI technology significantly impacts core educationalfields,reshaping the structures,processes,and objectives of modern education.The preliminary achievements of integration of higher education and AI are realized but the intelligent teaching systems and educational governance still need to be further explored.The research identifies three main hotspots of AI-driven personalized learning,digital transformation of education,and post-pandemic online education development.Future research should focus on advancing the wide application of intelligent teaching systems and more efficient and innovative educational models.

关 键 词：高等教育 人工智能 可视化分析 个性化学习 数字化转型 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]