Article Details

Title · Authors · Abstract · Keywords · DOI · References

Visualization Analysis of the Application of Artificial Intelligence in the Field of Higher Education in China

ZHANG Fangfang, BING Dan, FANG Hui, LIANG Jing

(Nanjing Tech University Pujiang Institute, Nanjing 211200, China)

Section:Information Application · Vol. 2026, Issue 20 · Pages:151-156 · 2096-4706(2026)20-0151-06 · CLC number:TP391 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.20.027

Abstract

Based on the bibliometric analysis method and literature visualization tools, this paper uses the information on research institutions, authors, and source journals from the CNKI core journal database and the CSSCI database, combined with the CiteSpace keyword clustering and co-occurrence map, to systematically expound the general situation of research on the application of artificial intelligence in the field of higher education in China, and analyze the main hotspots and trends in this field. The results show that: artificial intelligence has a certain interdisciplinary nature, and scholars from various fields actively participate in the research, but cross-regional collaborative research is limited; the keyword clustering analysis shows that the research hotspots mainly focus on talent cultivation, digital transformation of education, generative Artificial Intelligence, and knowledge graphs. The keyword burst analysis shows that the frontier hotspots of future research may continue to develop in depth in digital transformation and educational digitalization. Under the new situation, research on Artificial Intelligence still needs to follow the development trend of global education and continue to deepen and strengthen from the aspects of technology, policy, and management.

Keywords

Artificial Intelligence; higher education; research hotspot; CiteSpace; visualization analysis

References

  1. [1] Mao Junchao, Li Danni, Chen Wei Research on the Reform of Higher Education Curriculum Teaching Empowered by Artificial Intelligence in the Digital Age [J]. Tank and Armored Vehicles, 2025 (22): 130-132
  2. [2] Ren Yudong Generative artificial intelligence empowers risk management in higher education [J]. Development and Evaluation of Higher Education, 2025, 41 (5): 33-44130
  3. [3] Zuo Teng, Wu Tong, Song Xiaowei, etc Exploring the Challenges and Paths of Empowering Higher Education Transformation with Artificial Intelligence [J]. Higher Education Development and Evaluation, 2025, 41 (4): 30-41130
  4. [4] Huang Jin The Value Mechanism and Countermeasures of Empowering Higher Education Governance with Generative Artificial Intelligence [J]. China Higher Education, 2025 (Z3): 62-65
  5. [5] Wang Dan, Cui Luyuan DeepSeek's Breakthrough and Transformation: Research on Empowering China's Higher Education Governance Modernization with Domestic Artificial Intelligence [J]. Contemporary Education Forum, 2025 (5): 31-39
  6. [6] Xiao Yao, Yang Cong, Chen Dengkai Reshaping the Innovative Design Thinking Training Model in Higher Education in the Era of Generative Artificial Intelligence [J]. Heilongjiang Higher Education Research, 2025, 43 (5): 7-13
  7. [7] Gong Qihuang From Concept to Practice: Exploration of Higher Education Innovation Empowered by Artificial Intelligence [J]. China Higher Education, 2025 (11): 4-9
  8. [8] Shu Yueyu, Li Huifang, Wang Liling The Current Status and Development Trends of Chinese Psychobiography Research: Knowledge Graph Analysis Based on CiteSpace [J]. Journal of Central China Normal University (Humanities and Social Sciences Edition), 2019, 58 (4): 185-192
  9. [9] Jin Shengxi, Lin Zhengjun Scientific Knowledge Graph Analysis of International Metonymy Research Trends (2007-2016) [J]. Foreign Language Studies, 2017, 34 (3): 18-23
  10. [10] Hou Jianhua, Hu Zhigang Review and Prospect of CiteSpace Software Application Research [J]. Modern Intelligence, 2013, 33 (4): 99-103
  11. [11] Guo Yaxin, Fan Zhenqiang The Development Trends and Frontier Dynamics of Metonymy Research in China: Analysis of Scientific Knowledge Graph Based on Visualization Technology [J]. Journal of Guangdong University of Foreign Studies, 2019, 30 (1): 81-88
  12. [12] Miao Fengchun Reconstruction of Higher Education in the Post Artificial Intelligence Era [J]. Open Education Research, 2025, 31 (2): 4-13
  13. [13] Tang Jiaqi, Mutru Chukurova, Bi Huichao The combination of artificial intelligence and human intelligence in higher education: theory, practice, and prospects [J]. University Education Science, 2025 (3): 61-72
  14. [14] Zhou Ruidong, Xie Chaofan The Challenge and Response of Generative Artificial Intelligence to the Subjectivity of Higher Education Personnel [J]. Higher Education Development and Evaluation, 2025, 41 (2): 100-110133
  15. [15] Chen Jianxiao, Liu Siqi, Zuo Mengxue Artificial Intelligence Reshaping Personalized Teaching in Higher Education: Mechanisms and Effects [J]. China Vocational and Technical Education, 2025 (3): 75-84112
  16. [16] Lv Guangzhu, Shi Miao Generative Artificial Intelligence Empowering Digital Transformation of Higher Education: An Analysis Based on Stanford University [J]. Higher Engineering Education Research, 2025 (2): 176-181188
  17. [17] Chen Yue, Chen Chaomei, Liu Zeyuan, etc The methodological function of CiteSpace knowledge graph [J]. Scientific Research, 2015, 33 (2): 242-253

Funding

Education and Teaching Reform Research Project of Pujiang College, Nanjing University of Technology (2024JG001Y)

About the authors

Zhang Fangfang (1989-), female, Han ethnicity, from Hengshui, Hebei, laboratory technician, master's student, research interests include physics experiment design and teaching research and teaching and learning research in higher education; Corresponding author: Bing Dan (1981-), female, Han ethnicity, from Anshan, Liaoning, associate professor, doctoral student, research interests include physics experiment design and teaching research and computational physics.