Communications in Humanities Research ISSN: 2753-7072
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Research Article

Reconstruction of Teacher Student Interaction Mode Empowered by Intelligent Technology: Research on Human Computer Collaborative Teaching Strategies for Chinese High School Chinese Language Classrooms

Zhuowu ZouHubei Normal University*

* Corresponding author: [email protected]

Abstract

Against the backdrop of generative artificial intelligence driving the digital transformation of education, high school Chinese oral teaching faces long-term challenges of insufficient interactive depth and limited personalized guidance. This article primarily addresses how human-machine collaboration can reconstruct the teacher-student interaction mode in high school Chinese language classrooms to improve the quality and effectiveness of oral teaching. The study focuses on the reconstruction of the tripartite interactive relationship between "teacher student Artificial Intelligence (AI)" as the central theoretical thread, and systematically sorts out the changing characteristics of classroom interaction in terms of subject role division, interactive structure form, and teaching scene extension under the background of intelligent technology empowerment. The key technologies represented by speech recognition and education models have changed the interactive mechanism of oral teaching by providing instant feedback, generating contextualized content, and supporting multidimensional dialogue. Although notable progress has been achieved in practical applications, this study also points out that there are still practical challenges such as insufficient technological adaptability, lagging teacher professional development, and the urban-rural "digital divide". Therefore, in the future, efforts need to be made to develop subject specific intelligent agents, establish a normalized teacher collaborative development mechanism, and establish scientific ethical and evaluation standards to promote the integration of human-computer collaboration from "demonstrative applications" to "normalized and deep" classroom ecology, ultimately serving the comprehensive improvement of students' language construction and application core literacy.

Keywords: Human Computer Collaboration; High School Chinese Oral Teaching; Classroom Interaction Mode; Intelligent Technology Empowering; Language Construction and Application
Published: February 24, 2026
DOI: 10.54254/2753-7064/2026.HT31814
Volume: CHR Vol.102
pp. 213-227
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References

  1. Ma, W. L., & Xu, M. Y. (2023). A review of research on intelligent language teaching in China since the 21st century (in Chinese). Foreign Languages, (25).
  2. Yue, H. J., & Zhang, Q. L. (2024). Overall framework design for human–computer collaborative Chinese language teaching in the intelligent era (in Chinese). Chinese Language Construction, (15).
  3. Yi, K. Y., & Han, X. B. (2025). From blended learning to human–intelligence collaborative teaching: A new form of teaching under the transformation of generative artificial intelligence technology (in Chinese). China Distance Education, (4), 1–10.
  4. Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering (EBSE Technical Report EBSE-2007-01). EBSE.
  5. Fengtai Times. (2025, November 5). The "teacher–student–machine" classroom at Beijing No. 12 Middle School makes students' eyes "light up" (in Chinese). Fengtai Times, (1).
  6. Guangming Daily. (2025, May 20). Make learning lighter and thinking deeper (in Chinese). Guangming Daily, (13).
  7. Jiading District Education College. (2025). AI + high school Chinese teaching new paradigm: Seminar on digital empowerment and teaching transformation for high school Chinese (in Chinese). Shanghai.
  8. Tianjin Teaching and Research Briefing. (2025, April 28). Special event on middle school Chinese language: Typical cases of AI empowering basic education teaching reform (in Chinese). Tianjin Teaching and Research Briefing, (2).
  9. Liu, L., & Zhang, S. (2025). Exploration of AIGC collaborative strategies for deep learning in high school classical Chinese (in Chinese). In Proceedings of the 11th Council Establishment Meeting of the Chinese Language Teaching Professional Committee of the Chinese Education Society and the Academic Seminar on "Chinese Language Education in the Digital Age" (pp. 1–15). Chinese Society of Education.
  10. Tongliao Daily. (2025, April 8). When Guotong language "encounters" AI: Breaking the "dimensional wall" of language learning (in Chinese). Tongliao Daily, (3).
  11. Intelligent oral expression assistance system. (2025). Master's thesis, National Taiwan University of Science and Technology, Taipei, Taiwan.
  12. Li, Y. Z., Cao, P. J., Wu, H. Z., Bao, H. G., Cheng, B., & Deng, Y. C. (2025). Research on visualization of educational model reasoning based on teaching thinking chains (in Chinese). Doctoral dissertation, Chinese Academy of Educational Sciences, Beijing, China.
  13. Liu, B. Q., Yu, Y. K., Wang, T., Yuan, T. T., & Han, M. (2024). Artificial intelligence education model: Architecture and key technology strategies (in Chinese). Open Education Research, 30(5), 76–86.
  14. Zhang, J. (2025). Three-element interaction of "teacher–student–machine": Innovative teaching mode of numerical analysis course design empowered by AI (in Chinese). Innovative Education Research, 13(11), 292–299.
  15. Zou, B., Du, Y., Wang, Z., Chen, J., & Zhang, W. (2023). An investigation into artificial intelligence speech evaluation programs with automatic feedback for developing EFL learners' speaking skills. SAGE Open, 13(3).
  16. Qiu, Y., Xie, Y. R., Huang, Y. L., et al. (2025). Research on human–computer collaborative generation of personalized learning feedback reports (in Chinese). Research on Electronic Education, (7), 1–10.
  17. Wang, S. J., & Liu, Z. (2024). Construction and application of an intelligent guidance system based on large language models: A high school Chinese case (in Chinese). Modern Educational Technology, 34(5), 91–100.
  18. He, J. H., Yuan, X. R., & Li, M. (2024). Practice and reflection on empowering oral teaching with intelligent speech technology: Application of "Chisheng Intelligent Course Treasure" (in Chinese). Digital Education, 10(2), 15–22.
  19. Noroozi, O., Dehghanzadeh, H., & Talaee, E. (2024). Collaborative argumentation and cognitive engagement in an AI-supported online learning environment: An experimental study. Computers & Education, 210, 104115.
  20. Xie, Y. R., Chen, W., & Qiu, Y. (2025). Reconstruction of university classroom teaching empowered by artificial intelligence (in Chinese). Educational Technology Insight Society, (9), 1–10.
  21. Jin, M. X. (2019). Investigation and analysis of the current situation of oral communication teaching in Yanji No. 1 Middle School (in Chinese). Master's thesis, Yanbian University, China.
  22. Exploring imagery teaching generation in middle school Chinese poetry from the perspective of large language models (in Chinese). (2025). Journal of Shantou University (Humanities and Social Sciences Edition), (1).
  23. Mou, Z. J., Yue, T., & Zhu, T. (2025). Personalized learning design based on cognitive intelligence large models from the perspective of human–computer collaboration (in Chinese). Research on Electronic Education, 46(2), 80–88.
  24. Pingxiang Education Bureau. (2024, September 18). Pingxiang innovates the "city–county–school" three-level teaching and research model to empower teachers' digital literacy development (in Chinese). Pingxiang Education, (1).