Research Articles
| Open Access |
https://doi.org/10.55640/ijssll-05-10-04
Application of Artificial Intelligence in College English Listening Teaching
Abstract
Artificial intelligence is playing an increasingly important role in college English teaching. Guided by Krashen's Input Hypothesis in second language acquisition, this study uses the large language model Doubao to adapt a news text from China Daily into listening material for the College English Test Band 4 (CET-4). The research explores audio production and vocabulary list creation for the listening material, clearly demonstrating the application of artificial intelligence in college English news listening teaching. This approach effectively addresses problems in traditional teaching such as outdated news content and difficulty in obtaining appropriately leveled materials, providing an effective path for improving teaching efficiency and quality.
Keywords
large language model, college English news listening, listening material adaptation, audio production, vocabulary list creation
References
1. Chen, C., C. Koong & C. Liao. Influences of integrating dynamic assessment into a speech recognition learning design to support students’ English-speaking skills, learning anxiety and cognitive load [J]. Educational Technology & Society, 2022 (25): 1-14.
2. Dizon, G. & D. Tang. Intelligent personal assistants for autonomous second language learning: An investigation of Alexa [J]. JALT CALL Journal, 2020 (16): 107-120.
3. Jeon, J. & Lee, S. Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT [J]. Education and Information Technologies, 2023 (12): 15873-15892.
4. Krashen, S. D. Principles and Practice in Second Language Acquisition[M]. Oxford: Pergamon Press, 1982.
5. Krashen, S. D. The Input Hypothesis: Issues and Implications[M]. London: Longman, 1985.
6. Li, J., Zong, H., Wu, E. Wu, R., Peng, Z., Zhao, J. Yang, L., Hong, X. & Bairong, S. Exploring the educational potential of ChatGPT: AI-assisted narrative writing for the educational application of ChatGPT [J]. BMC Medical Education, 2024 (5): 926-931.
7. Pang, Y., He, Y. & Marlow, D. Employing Large Language Models in College English Teaching: Insights from China[J]. International Journal of Social Sciences, Language and Linguistics, 2025 (5:6): 16- 21.
8. Pang, Y., Marlow, D. & He, Y. Research on Empowering College English with Artificial Intelligence [J]. Education and Social Work, 2025 (1:1): 131-139.
9. Seo, J-Y. Exploring the educational potential of ChatGPT: AI-assisted narrative writing for EFL college students [J]. Language Teaching Research Quarterly, 2024 (43): 1-21.
10. Wang, J., Wan X., Dong, Z. 翻译质量评价方法及其在计算机翻译评价系统中的应用 [J]. 中国翻译, 2018 (4): 73-78.
11. Yu, H., Song J., Wang L. 大语言模型辅助的功能语篇分析: 理论、方法与实践 [J]. 外语电化教学, 2024 (5): 43-51+111.
12. Zhang, Y. 人工智能促进大学英语教学变革研究 [J]. 教育现代化, 2019 (6:55): 130-131.
Article Statistics
Downloads
Copyright License
Copyright (c) 2025 Yafei Pang, David Marlow (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles are published under the Creative Commons Attribution 4.0 License (CC BY 4.0).
Authors retain full copyright of their work.
Content is freely accessible and can be shared or reused with proper attribution.
This ensures open access and promotes global dissemination of knowledge.