Research on the Theory and Practice of AI-enabled Digitalization in College English Listening and Speaking Courses

Yafei Pang

doi:10.63313/IJED.9033

Authors

Yafei Pang Foshan University, Foshan, 528000, China Author

DOI:

https://doi.org/10.63313/IJED.9033

Keywords:

College English, Listening and Speaking Courses, AI-enabled Digitalization, Theory and Practice, Human-Computer Interaction

Abstract

This study focuses on the digital-intelligent transformation of college English listening and speaking courses, aiming to address core pain points of traditional teaching such as limited opportunities to speak, delayed feedback, outdated materials, and insufficient scenarios. Adopting a control experiment method, two parallel classes of first-year non-English majors from our university were selected as research objects: the experimental class (52 students) utilized the Chaoxing Platform (a typical carrier of AI-enabled digital education), integrating innovative teaching models including AI-generated CET-4 listening materials, human-computer interactive oral training, and language practices such as PPT presentations and video production; the control class (50 students) adopted traditional listening and speaking teaching methods. The research cycle lasted one semester, with data collected through final exam paper analysis and face-to-face interviews to systematically explore the impact of AI-driven teaching on students' listening and speaking abilities and comprehensive language proficiency. Results indicate that students in the experimental class outperformed their peers in the control class in terms of listening interest and oral expression authenticity. Meanwhile, our findings indicate that AI-enabled Digitalization teaching boosts not only English listening and speaking proficiency, but also other key skills including reading, translation and writing. However, problems such as students' excessive reliance on AI and weakened willingness to think independently were also identified. This study verifies the effectiveness of the teaching model integrating AI technology with the Chaoxing Platform in cultivating listening and speaking skills, providing a replicable practical paradigm for the intelligent digitalization transformation of college English teaching and targeted suggestions for mitigating technology application risks.

References

[1] Zhu, H.D. (2025) Strategies and Practice of Integrating Digital-Intelligent Empowerment into Foreign Language Courses and Regional Culture in Application-Oriented Undergradu-ate Universities. Modern English,9, 76-78.

[2] Zhang, Y.L. (2019) Research on Artificial Intelligence Promoting the Reform of College English Teaching. Education Modernization, 6, 130-131.

[3] Pang, Y.F., He, Y. and Marlow, D. (2025) Employing Large Language Models in College Eng-lish Teaching: Insights from China. International Journal of Social Sciences, Language and Linguistics, 5, 16-21.

[4] Pang, Y.F., Marlow, D. and He, Y. (2025) Research on Empowering College English Teach-ing with Artificial Intelligence. Education and Social Work, 1,131-139.

[5] Dizon, G. and Tang, D. (2020) Intelligent personal assistants for autonomous second lan-guage learning. JALT CALL Journal, 16, 107-120.

[6] Chen, C., Koong, C. and Liao, C. (2022) Influences of integrating dynamic assessment into a speech recognition learning design. Educational Technology & Society, 25, 1-14.

[7] Pang, Y.F. and Marlow, D. (2025) Application of Artificial Intelligence in College English Listening Teaching. International Journal of Social Sciences, Language and Linguistics, 10, 18-24.

[8] Kong, L. (2024) Application of Generative Artificial Intelligence in Foreign Language Major Teaching: A Case Study of College Critical English: Intensive Reading. Foreign Language Education Research Frontiers, 7, 11-18+90.

[9] Jeon, J. and Lee, S. (2023) Large language models in education: A focus on the complemen-tary relationship between human teachers and ChatGPT. Education and Information Technologies, 28, 58-60.

[10] Krashen, S.D. (1985) The Input Hypothesis: Issues and Implications. London: Longman.

[11] Swain, M. (1995) Three Functions of Output in Second Language Learning. In: Cook, G. and Seidlhofer, B. (Eds.) Principle and Practice in Applied Linguistics: Studies in Honor of Widdowson, H. G. Oxford: Oxford University Press.

[12] Wang, Y., Du, Y., Zhao, P. et al. (2024) Research on College English Ideological and Political Education Model Based on TPACK Theory. Overseas English, 20, 149-151.

[13] Zhu, Y. (2025) Construction and Practice of TPACK-Based Smart Classroom Teaching Model for College English. Journal of Wuxi Vocational and Technical College, 4, 35-41.