Empowerment and Reconstruction: A Study on the Application Models and Effectiveness of AI in College English Teaching for Science Students

Chuanbi Tan

doi:10.6918/IJOSSER.202512_8(12).0048

Authors

Chuanbi Tan

DOI:

https://doi.org/10.6918/IJOSSER.202512_8(12).0048

Keywords:

Artificial intelligence, College English teaching, Science majors, Personalized learning, Teaching effectiveness

Abstract

This paper explores the integration of artificial intelligence (AI) into college English teaching for science majors at second-tier universities in China. It proposes a practical, three-dimensional teaching model that spans pre-class, in-class, and post-class stages, aiming to address the longstanding challenges of low proficiency, lack of motivation, and ineffective instruction. Drawing on empirical data and classroom practice, the study demonstrates how AI can personalize learning, enhance teaching efficiency, and foster learner autonomy. It also reflects on issues such as data privacy, ethical concerns, and the risk of technological isolation, offering targeted recommendations for sustainable implementation.

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