An AI-Enhanced Practical Teaching Framework for Foreign Language Majors in Vocational Colleges: Design, Implementation, and Reflective Evaluation

Xiaoxuan Yang

doi:10.63313/IJED.9005

Authors

Xiaoxuan Yang School of English Studies, Zhejiang Yuexiu University, Shaoxing 312030, China Author

DOI:

https://doi.org/10.63313/IJED.9005

Abstract

This study addresses the critical gap between theoretical potential and practical implementation of artificial intelligence (AI) in vocational foreign language ed-ucation. Drawing upon empirical data from 353 valid student questionnaires across 13 Chinese vocational institutions and a controlled semester-long peda-gogical experiment, it designs, implements, and evaluates a comprehensive AI-integrated practical teaching framework. Results demonstrate statistically significant improvements in students' language competencies (listening, speak-ing, reading, writing, translation) and transversal skills (cross-cultural commu-nication, critical thinking) within the experimental group utilizing the AI framework, compared to the control group using traditional methods. Key in-novations include context-aware intelligent tutoring, immersive VR/AR simula-tions, and AI-driven dynamic assessment. While validating AI's efficacy, the re-search critically examines persistent challenges in technical infrastructure, educator readiness, and ethical alignment. This work provides a replicable mod-el for systemic AI integration, grounded in the "Three Integrations" (voca-tion-al-academic articulation, industry-education fusion, science-education synergy) principle, contributing actionable insights to enhance the employabil-ity and global competitiveness of vocational foreign language professionals.

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