Volume 4,Issue 3
Empirical Research on English Teaching Mode in Higher Vocational Colleges with the Integration of AI
The research demonstrates that English language teaching can achieve personalized content delivery, real-time feedback mechanisms, and interactive learning environments through artificial intelligence technologies, such as natural language processing, machine learning, and intelligent tutoring systems, thereby significantly enhancing teaching efficiency and learning outcomes. AI technologies not only optimize the allocation of teaching resources, but also effectively cultivate students’ self-directed learning capabilities, bringing revolutionary changes to vocational English education. The deep integration of AI technologies continues to play an irreplaceable role in driving reforms in vocational English instruction.
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[3] Wang Y, 2017, Study on the Teaching Model of English Writing in Higher Vocational Colleges based on Constructivism. Agro Food Industry Hi Tech, 28(1): 123–125.
[4] Xu Y, 2007, On the Reform of Teaching in Higher Vocational Education. Journal of Henan Vocation-Technical Teachers University, 32(4): 88–90.
[5] Wu X, 2021, Application of Artificial Intelligence in Higher Vocational English Teaching Mode. Journal of Physics: Conference Series, 1852(2): 022089.
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[7] An S, 2011, Sino-English Culture Difference and Teaching in Foreign Language Education. Asian Social Science, 7(7): 190.
[8] Chau K, 2006, A Review on the Integration of Artificial Intelligence into Coastal Modeling. Journal of Environmental Management, 80(1): 47–57.
[9] Li-Mei H, Amp C, et al., 2019, On the Teaching of Practical English Writing in Higher Vocational Colleges. Journal of Chongqing Industry & Trade Polytechnic.
[10] Tao Y, Ma J, 2022, Effects of the TPACK Levels of University Teachers on the Use of Online Teaching Technical Tools. Int. J. Emerg. Technol. Learn., 2022(17): 188–199.