A Study on Artificial Intelligence-Assisted Teaching Models in College English Education
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Abstract
This article explores the auxiliary applications of artificial intelligence in college English teaching, aiming to optimize existing teaching models and enhance educational quality. First, it outlines the development and basic principles of artificial intelligence technology. Then, it analyzes the problems and challenges present in current college English teaching models, including uneven distribution of teaching resources and the difficulty in meeting personalized learning needs. Next, it focuses on the application scenarios of artificial intelligence technology in teaching, such as intelligent tutoring systems, interactive teaching platforms, and personalized learning recommendation systems, and evaluates their effectiveness and potential. Finally, the article summarizes possible ways to improve the effectiveness of college English teaching through artificial intelligence technology, highlighting its practical significance in enhancing teaching efficiency and student learning outcomes.
Publication details
- DOI
- 10.23977/aetp.2025.090505
- OpenAlex
- W4414129701
- Document type
- article
- Language
- EN
- Source
- Advances in Educational Technology and Psychology
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