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Generative AI-Enabled International Chinese Language Teaching: Innovations and Challenges

Author

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  • Ruyang Tang

    (School of Languages and Cultures (School of International Communication and Exchange), Shanghai University of Political Science and Law, Shanghai 201701, China)

Abstract

The rapid advancement of generative artificial intelligence has reshaped traditional operational systems across numerous social sectors. In China, increasing emphasis has been placed on educational applications of AI, with consistent support for exploring the potential of generative models in teaching and learning. In 2025, the Ministry of Education issued the Digital Strategy for Education, which promotes the construction of new educational infrastructure and encourages universities to develop innovative “AI + Education” models. Through deep learning and algorithm‑driven pattern simulation, generative AI can support teachers in lesson planning, resource creation, and AI‑integrated textbook development. It also facilitates personalized learning and helps cultivate talents with strong information literacy. Supported by AI technologies, the “HI + AI” teaching framework creates a tripartite collaborative system involving teachers, students, and machines, leading to more adaptive and efficient classroom practices. While generative AI opens new prospects for international Chinese language education, it also brings emerging challenges that require systematic reflection and response.

Suggested Citation

  • Ruyang Tang, 2026. "Generative AI-Enabled International Chinese Language Teaching: Innovations and Challenges," Research and Advances in Education, Paradigm Academic Press, vol. 5(2), pages 8-13, June.
    • Handle: RePEc:bdz:readeu:v:5:y:2026:i:2:p:8-13
    DOI: 10.63593/RAE.2788-7057.2026.06.002
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