Research on AI-empowered College English Teaching Models
Abstract
In the context of global digital transformation, artificial intelligence (AI) technology is revolutionizing college English teaching
models. This paper explores the construction and application of AI-empowered English teaching models in higher education, focusing on its
role in optimizing teaching design, generating multimodal teaching resources, and reshaping teaching scenarios and formats. With AI assistance, English teachers can design personalized teaching activities and support students in achieving self-directed learning, self-regulation, and
deep learning, thereby enhancing language proficiency and comprehensive skills. Simultaneously, the in-depth application of AI has driven innovation and development in English textbooks. This paper aims to provide theoretical support and practical paths for the digital transformation of college English teaching.
models. This paper explores the construction and application of AI-empowered English teaching models in higher education, focusing on its
role in optimizing teaching design, generating multimodal teaching resources, and reshaping teaching scenarios and formats. With AI assistance, English teachers can design personalized teaching activities and support students in achieving self-directed learning, self-regulation, and
deep learning, thereby enhancing language proficiency and comprehensive skills. Simultaneously, the in-depth application of AI has driven innovation and development in English textbooks. This paper aims to provide theoretical support and practical paths for the digital transformation of college English teaching.
Keywords
AI-empowered; Digital transformation; Multimodal teaching resources
Full Text:
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[1] Korol T. Digital teacher feedback as a translation assessment tool. Journal of Teaching English for Specific and Academic Purposes,
2022, 9(4): 575-586.
[2] Robert I S, Schrijver I, & Ureel J J. Measuring translation revision competence and post-editing competence in translation trainees:
Methodological issues. Perspectives, 2024, 32(2): 177-191.
[3] Stepanechko O, & Kozub L. Effectiveness of the inquiry-based method in English language teaching of Ukrainian university students
through technology-enabled learning. Arab World English Journal, 2022, 13(3): 368-377.
[4] Zhang Yan Ling. Research on Language Input Theory and Listening Techniques in English Teaching. Chinese and Foreign Entrepreneurs, 2020.
DOI: http://dx.doi.org/10.70711/aitr.v3i1.7631
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