Research on AI-Assisted Reform in Vocational English Teaching

Wei Li

doi:10.18686/ahe.v9i6.14305

Research on AI-Assisted Reform in Vocational English Teaching

Wei Li

Abstract

This study explores the application of Artificial Intelligence (AI) in reforming vocational college English teaching models, aiming to enhance teaching quality and student engagement. Through empirical research, this study assesses the effectiveness of AI-powered tools and platforms in personalizing learning experiences, improving learning efficiency, and fostering a more interactive and adaptive learning environment.

Keywords

Vocational English education; Artificial Intelligence; Teaching Reform.

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References

[1] Wang, Q., Liu, J., Liu, Y., Zhang, H., & Wang, Y. (2020). A systematic review of personalized learning with artificial intelligence in K-12 education. *Computers & Education*, 155, 103882.

[2] Raesser, A. C., VanLehn, K., Rosenblum, L. S., Sottilare, R. A., & McNamara, D. S. (2019). Advancements in intelligent tutoring systems.In *The Cambridge Handbook of Artificial Intelligence in Education* (pp. 127-154). Cambridge University Press.

[3] Litman, D. J., & Kamm, C. A. (2021). Natural language processing for education: A survey. *Artificial Intelligence in Education*, 31,1-34.

[4] Veale, M., & Binns, R. (2017). Fairness, accountability and transparency in machine learning. In *Proceedings of the 2017 conference on fairness, accountability, and transparency* (pp. 335-349).

DOI: http://dx.doi.org/10.18686/ahe.v9i6.14305

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