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Bibliometric Analysis and Prospects of Research on Integration of Artificial Intelligence and International Chinese Language Education
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Abstract
Against the backdrop of global educational digital transformation, the integration of artificial intelligence (AI) and international Chinese language education has become a key driver for the discipline’s high-quality development. This study conducts a bibliometric analysis of 123 core journal papers retrieved from the China National Knowledge Infrastructure (CNKI) with a full-time search strategy (the first paper published in 2021), using CiteSpace 6.4.R1 for visual analysis of annual publication output, high-frequency keywords, core research institutions, and cooperation networks. Results show the field has experienced a slow start, rapid growth, and steady advancement, with an overall upward publication trend. “Artificial intelligence” is the core keyword with the highest frequency and centrality, and research hotspots focus on digitalization, teaching resource development, intelligent education, and disciplinary construction. Core institutions are dominated by key universities with strengths in international Chinese language education, while inter-institutional cooperation remains loose. Research themes concentrate on AI-empowered teaching resources, intelligent learning systems, teachers’ AI acceptance, and digital-intelligent transformation. Based on existing problems, targeted future research directions are proposed to promote the deep integration of AI and international Chinese language education.
Keywords
Artificial Intelligence; International Chinese Language Education; Bibliometric Analysis; Research Hotspots
References
Dou, X. (2026). Theoretical framework and practical application of artificial intelligence empowering international Chinese language education. Journal of Xinjiang Normal University (Philosophy and Social Sciences Edition), 47(3), 181-191.
Du, M., & Zheng, D. X. (2025). Analysis of generative artificial intelligence reshaping the digital and intelligent innovation of international Chinese language education. Jilin University Journal of Humanities and Social Sciences, 65(1), 225-240.
Hu, M. M., & Chang, H. (2025). New trends and enlightenment of international Chinese language education. Journal of Xi’an International Studies University, 33(2), 37-42.
Jin, X. (2023). The ought-to-be functions, practical dilemmas and application strategies of ChatGPT’s deep integration into international Chinese language education. Journal of Yunnan Normal University (Philosophy and Social Sciences Edition), 55(4), 52-58.
Li, B. G., Liu, J. N., & Li, H. (2024). The logic and path of disciplinary growth of international Chinese language education. Journal of Guizhou Normal University (Social Science Edition), (1), 65-75.
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Ou, Z. G., Liu, Y. P., Hao, J. X., et al. (2024). International perspective on the policy interpretation of generative artificial intelligence-construction of an action strategy for the intelligent development of international Chinese language education. Journal of Qinghai Minzu University, (3), 181-189.
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How to cite this paper
Bibliometric Analysis and Prospects of Research on Integration of Artificial Intelligence and International Chinese Language Education
How to cite this paper: Qinglin Ma, Boyi He, Yamiao Fan. (2026). Bibliometric Analysis and Prospects of Research on Integration of Artificial Intelligence and International Chinese Language Education. The Educational Review, USA, 10(1), 49-54.
DOI: http://dx.doi.org/10.26855/er.2026.01.009
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