Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13–15, 2023, Xi’an, China

Research Article

Analysis of the Current State of Artificial Intelligence and Higher Education Research Based on Co-word Analysis

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  • @INPROCEEDINGS{10.4108/eai.13-10-2023.2341285,
        author={Gaoquan  Gu and Haitao  Li},
        title={Analysis of the Current State of Artificial Intelligence and Higher Education Research Based on Co-word Analysis},
        proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China},
        publisher={EAI},
        proceedings_a={NMDME},
        year={2024},
        month={1},
        keywords={literature statistical analysis artificial intelligence higher education co-word analysis visual analysis},
        doi={10.4108/eai.13-10-2023.2341285}
    }
    
  • Gaoquan Gu
    Haitao Li
    Year: 2024
    Analysis of the Current State of Artificial Intelligence and Higher Education Research Based on Co-word Analysis
    NMDME
    EAI
    DOI: 10.4108/eai.13-10-2023.2341285
Gaoquan Gu1, Haitao Li1,*
  • 1: Naval University of Engineering
*Contact email: navy_lht@163.com

Abstract

In the context of the rapid development of artificial intelligence, investigating its application in higher education is of practical significance for understanding the meaning and characteristics of the integration of AI technology and university education. This study explores and analyzes the current status of artificial intelligence in higher education by collecting materials from the CNKI database and using co-word analysis and social network analysis methods. The results indicated that domestic universities are the main bodies applying artificial intelligence in higher education, with Ideological and Political Education at the core, and there is a propensity for adopting a singular model in practice. Furthermore, new elements such as ‘educational informatization 2.0’ are gradually being integrated into educational practices, showing innovation. Based on these findings, it is suggested to strengthen Ideological and Political Education, incorporate more interdisciplinary knowledge in AI general education, and enhance the construction of university informatization, to better apply AI technology in higher education.