Research on the Application of AI in Chinese Native Language Teaching
This paper examines the transformative potential of integrating AI technology into Chinese native language classrooms. Grounded in constructivist theory, it explores AI's role in innovating teaching methods, enhancing student engagement, and improving instructional efficiency. The study employs literature reviews, interviews, comparative studies, and case analyses to summarize practical AI applications in Chinese language education. The study delineates the significance of artificial intelligence in the formulation of instructional design, the customization of learning experiences, the enhancement of educational resources, the creation of immersive learning environments, the provision of immediate feedback, and the facilitation of automated assessment. Furthermore, the research examines obstacles such as technological constraints and the integration of AI within existing curricula. It suggests strategies to leverage AI for enhancing Chinese language teaching, aiming to reduce teaching pressures, improve digital literacy among teachers, and support professional development. Alternatively, the investigation examines the potential of artificial intelligence to revolutionize pedagogical approaches, augment student involvement, and optimize instructional efficacy. The findings indicate that although AI offers considerable prospects for the advancement of Chinese language education, continuous inquiry and adaptation to its dynamic environment remain imperative.
Authors
- Yu Wang (ORCID: https://orcid.org/0000-0003-0614-8316)
Institutions
- Education University of Hong Kong (HK)
Publication Details
- Journal
- Lecture Notes in Education Psychology and Public Media
- Published
- 2025-07-20
- DOI
- https://doi.org/10.54254/2753-7048/2025.bo25262
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00