Journal: Journal of Higher Education Research DOI: 10.32629/jher.v7i4.5414
Abstract
With the development of AI tools, researchers have done a lot of work to implement AI-teaching in their classes. To better understand how AI is used for Language majors, teachers have made their efforts to evaulate the whole process of English-learning. Emperical studies have been conducted in real Business English classes and students’ feedback have been collected by the teacher to examine how AI help students in interpreting. This paper integrates AI-assisted teaching with Cooperative Principle in business interpreting classes. The framework emphasizes systematic use of AI as well as the application of cooperative principle in real business contexts. By adjusting the AI evaluation model of interpreting, interpreters can be better trained to produce more preceise and concise texts. It is found that with the integration of AI in the interpreting class, the basic maxims of communication could be achived by control and adjustment by the teacher and students.
Keywords
cooperative Principle; business interpreting; AI-assisted teaching; human-machine collaboration
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[1] Zhou, X., & Kaur, S. G. (2026). How does academic self-concept contribute to English language achievement in Chinese EFL college classes? Frontiers in Psychology, 17, 1736480.
[2] Zhang, T. C. (2025). Artificial intelligence application research analysis in international Chinese spoken language teaching. In Proceedings of the Seminar on Education and Innovative Development in the New Era (II) (pp. 248-251). East China Normal University.
[3] Chen, T. (2025, February). An empirical study on AI cooperative learning model based on IPO in higher vocational Oral English teaching: Take RW Polytechnic as an example. International Conference on Big Data and Information Education (ICBDIE) 2025, 21–23.
[4] Wu, S. (2025). A research on AI-empowerment on college oral English teaching. Journal of Shenyang Institute of Engineering (Social Sciences), 21(2), 118–123.
[5] Shi, L. (2022). Reflections on oral English teaching: How artificial intelligence (AI) empowers. China Journal of Multimedia & Network Teaching, (06), 9–13.
[6] Jiang, J. (2024). The courses of AI-empowerment on oral English teaching. The Magazine of Neimenggu University of Economics, 22(6), 72–76.
[7] Li, G., Liu, J., & Wang, H. Y. (2025). The logic, application and empirical study of AI empowerment. The Magazine of Taiyuan Chengshi University, (8), 91–94.
[8] Grice, H. P. (1975). Logic and Conversation. Academic Press.
[9] Zhou, M. (2009). Cooperative principle in oral English teaching. International Education Studies, 2(3), 42–46.
[10] Wang, J., Zhang, J., Chen, L., & Dai, J. (2024). Study of artificial intelligence-assisted English oral teaching. Scientific Journal of Intelligent Systems Research, 6(8), 1–8.
[11] Zhou, X. (2026, March). Human–AI collaboration and creative behavior among Chinese college students. In 2026 15th International Conference on Educational and Information Technology (ICEIT) (pp. 545–550). IEEE.
[12] Zhou, X., Sidhu, G. K., & Wang, L. (2026). Academic buoyancy in EFL learning: A mixed-methods study among Chinese private university students. Acta Psychologica, 267, 106990.
[2] Zhang, T. C. (2025). Artificial intelligence application research analysis in international Chinese spoken language teaching. In Proceedings of the Seminar on Education and Innovative Development in the New Era (II) (pp. 248-251). East China Normal University.
[3] Chen, T. (2025, February). An empirical study on AI cooperative learning model based on IPO in higher vocational Oral English teaching: Take RW Polytechnic as an example. International Conference on Big Data and Information Education (ICBDIE) 2025, 21–23.
[4] Wu, S. (2025). A research on AI-empowerment on college oral English teaching. Journal of Shenyang Institute of Engineering (Social Sciences), 21(2), 118–123.
[5] Shi, L. (2022). Reflections on oral English teaching: How artificial intelligence (AI) empowers. China Journal of Multimedia & Network Teaching, (06), 9–13.
[6] Jiang, J. (2024). The courses of AI-empowerment on oral English teaching. The Magazine of Neimenggu University of Economics, 22(6), 72–76.
[7] Li, G., Liu, J., & Wang, H. Y. (2025). The logic, application and empirical study of AI empowerment. The Magazine of Taiyuan Chengshi University, (8), 91–94.
[8] Grice, H. P. (1975). Logic and Conversation. Academic Press.
[9] Zhou, M. (2009). Cooperative principle in oral English teaching. International Education Studies, 2(3), 42–46.
[10] Wang, J., Zhang, J., Chen, L., & Dai, J. (2024). Study of artificial intelligence-assisted English oral teaching. Scientific Journal of Intelligent Systems Research, 6(8), 1–8.
[11] Zhou, X. (2026, March). Human–AI collaboration and creative behavior among Chinese college students. In 2026 15th International Conference on Educational and Information Technology (ICEIT) (pp. 545–550). IEEE.
[12] Zhou, X., Sidhu, G. K., & Wang, L. (2026). Academic buoyancy in EFL learning: A mixed-methods study among Chinese private university students. Acta Psychologica, 267, 106990.
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