The rapid advancement of artificial intelligence is profoundly reshaping the landscape of higher education. As a crucial component of general education in universities

college English teaching is at a critical juncture

transitioning from traditional models towards intelligent

personalized

and precise paradigms. This paper systematically reviews the application background and theoretical foundations of AI in college English teaching

analyzing core dilemmas in current teaching reforms

such as outdated teaching content

rigid teaching models

singular evaluation systems

and insufficient digital literacy among teachers. On this basis

it elaborates on practical pathways for AI empowerment from five dimensions: constructing intelligent teaching environments

designing personalized learning paths

innovating teaching models

establishing diversified evaluation mechanisms

and enhancing teacher capabilities. Research indicates that the deep integration of AI and college English teaching can not only optimize the allocation of teaching resources and improve teaching efficiency but also drive a fundamental shift from a "teacher-centered" to a "learner-centered" teaching model

providing strong support for cultivating high-quality talents with cross-cultural communication skills and innovative thinking. In the future

further efforts should be made to promote deep synergy between technology and education

building a new ecosystem of smart education characterized by human-machine symbiosis.