Against the backdrop of accelerated digital transformation in vocational education

industrial upgrading has placed new demands on the foreign language proficiency of composite talent. To address the structural challenges in English listening and speaking instruction at higher vocational colleges

this study explores a systematic integration scheme for artificial intelligence technology. Focusing on core issues such as insufficient authenticity of the teaching context

mismatch between technological tools and teaching objectives

and the limited dimensions of assessment mechanisms

this study proposes an optimized framework comprising intelligent reconstruction of vocational contexts

multi-source data-driven training

and dynamic tracking of three-dimensional competencies. The research indicates that this model effectively enhances the practicality and industry relevance of language training by deeply aligning technological characteristics with teaching principles

thereby providing a feasible

practical pathway for the digital transformation of foreign language proficiency development in vocational education.