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Design and Application of College English Teaching Based on Human-Machine Collaboration

Author(s)

Danlu Liao*

Affiliation(s)

School of Foreign Languages and Foreign Trade, Chongqing Vocational Institute of Tourism, Chongqing, China *Corresponding Author

Abstract

With the deep integration of artificial intelligence in education, vocational college English teaching has embraced new opportunities empowered by technology, yet faces practical challenges such as insufficient teachers 'technical adaptability and the absence of human-machine collaboration mechanisms. Based on Gagne's Nine Teaching Events Theory, this study constructs a tripartite collaborative teaching model involving "teachers-AI-learningers" and conducts teaching practices through the "XuexiTong" platform. A total of 171 students from four parallel classes of the 2024 cohort were selected as research subjects, with comprehensive evaluations conducted using Flanders Classroom Interaction Analysis, pre-post test score comparisons, and in-depth interviews. The results demonstrate that human-machine collaborative teaching effectively clarifies role boundaries among teachers, students, and technology, significantly enhances classroom teaching efficiency and academic performance, while boosting students' learning autonomy and sense of achievement. This study provides theoretical support and practical experience for the comprehensive reform of College English teaching in vocational colleges.

Keywords

Human-Computer Collaboration; Higher Vocational English; Teaching Activities

References

[1] Sailer M, Bauer E, Scheiter K, et al. Künstliche Intelligenz in der Schule – Eine Handreichung zum Stand in Wissenschaft und Praxis. Augsburg: University of Augsburg & University of Potsdam, 2025. [2] Romero M, Heiser L, Lepage A, et al. Teaching and Learning in the Age of Artificial Intelligence. Quebec: Line, Comue UCA & ULaval, 2023. [3] Younis B. The artificial intelligence literacy (AIL) scale for teachers: a tool for enhancing AI education. Journal of Digital Learning in Teacher Education, 2025, 41: 45–62. [4] Ayanwale A, et al. Examining artificial intelligence literacy among pre-service teachers for future classrooms. Computers and Education Open, 2024, 21(3): 78–95. [5] Chen Wanling. Construction and effectiveness research of human-machine collaborative teaching model in higher vocational English courses: an AI empowerment perspective. Vocational and Technical Education, 2025, 24(01): 34–41. [6] Kong Lei. Building a support mechanism for foreign language learners' engagement in human-machine collaborative environments. Modern Foreign Languages, 2026, 49(1): 112–124. [7] Wang Xuemei, Zhou Maojie. Digital literacy of foreign language teachers in higher education: connotation, framework, and development pathways. Foreign Language World, 2024(05): 33–40. [8] Wang Pengtao, Chen Jian, Zuo Weiguang, Zhang Xiaolei. Strategies for enhancing college teachers' AI literacy in human-machine collaborative teaching. Journal of Higher Education, 2025, 11(25): 164–167. [9] Zhao Xinyu. Exploring multimodal teaching models for college English from a human-machine collaboration perspective. Popular Literature, 2025(11): 174–176. [10]Zhang Leng. The practice and research of integrating “teaching-learning-evaluation” in high school English with generative AI. China Modern Educational Equipment, 2025(08): 5–7+10. [11]Gagné R M. The Conditions of Learning and Theory of Instruction. Translated by Pi Liansheng, Wang Yingxue, et al. Shanghai: East China Normal University Press, 1999.