AI-Empowered Strategies for Aligning Vocational Education English Teaching with Professional Demands 
Jingwei Zhang  Mingyue Zhang

Department of Foreign Languages Jilin Agricultural University, Changchun Jilin, 130118;

Abstract：This study focuses on the application strategies of artificial intelligence (hereinafter refered as AI) technology in vocational education English teaching, exploring how AI technology can effectively align English teaching with professional demands. Through methods such as literature analysis and case studies, this paper systematically analyzes the main challenges currently faced by vocational education English teaching, constructs an AI-empowered teaching strategy framework, and proposes concrete implementation pathways. The findings reveal that intelligent curriculum development based on professional corpora, contextualized virtual simulation training, and dynamic competency evaluation systems are key strategies for improving teaching effectiveness. The research results provide theoretical foundations and practical guidance for vocational education English teaching reform. Despite challenges such as high initial investment, data security, and teacher technical proficiency, AI-empowered English teaching holds promising prospects for improving vocational education quality and efficiency.

Keywords: Artificial Intelligence；Vocational Education；English Teaching；Teaching Strategies

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