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Research on the Application of Artificial Intelligence Tools in English Courses for First-Year Students in Vocational Colleges: Effects, Models, and Optimization Strategies
Wan Zhonglei
Department of General Education Jiangxi Youth Vocational College, Nanchang Jiangxi People’s Republic of China, 330045 ;
Abstract:This study focuses on the application efficacy of artificial intelligence technology in English teaching for first-year students in higher vocational colleges, employing a mixed-methods approach to systematically evaluate the impact mechanisms of AI tools on academic performance, autonomous learning ability, and learning motivation, while identifying application models suited to the characteristics of vocational education. The study selected 186 non-English major first-year students from a vocational colleges in East China as participants. The experimental group (n=86) adopted an AI-integrated teaching model for a 16-week semester, while the control group (n=100) implemented traditional instruction. Quantitative data revealed that the experimental group's final comprehensive English scores were significantly higher than the control group's (75.3±8.6 vs. 71.8±9.2, t=2.68, p<0.01, Cohen's d=0.39), autonomous learning ability scores increased by 15.7% (F=12.34, p<0.001), and intrinsic learning motivation was significantly enhanced (ΔM=0.58, p<0.01). Drawing on a "technology-teaching-learner" three-dimensional framework, this study constructs an AI Application Ecosystem Model for vocational college English and proposes stratified and categorized integration strategies from three levels: teaching management, teacher development, and technology adaptation. The research provides empirical evidence for the digital transformation of vocational education while revealing practical pathways to avoid technological alienation.
Keywords: artificial intelligence tools; vocational college English; first-year students; application effectiveness; application models
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