Research on the Improvement Mechanism of College Foreign Language Teachers' Intellectual Education Literacy Under AI Empowerment

With the rapid advancement of AI technology, enhancing foreign language teachers' intellectual education literacy in colleges is vital. Unlike traditional methods focusing solely on IT skills, intelligent literacy emphasizes understanding AI tools, data processing, algorithm ethics, and interdisciplinary integration. The research shows that teachers' cognitive depth, application methods, and feedback quality on AI platforms significantly affect intelligent teaching reforms. Integrating curriculum design, peer support, teaching reflection, and external resources fosters teachers' growth. However, challenges remain in adapting to AI platforms, interpreting data, and maintaining ethical standards, with varying levels of trust among teachers. This study identifies strategies for improving intelligent education quality and proposes a mechanism centered on data loops, ability stratification, and personalized support.