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Tingjie Xu Yisong Chen

Abstract

The proliferation of Generative AI necessitates a re-evaluation of educational strategies, particularly in vocational fields. Traditional vocational education faces challenges like limited resource access, high software costs, and a lack of personalized feedback. This paper explores how integrating generative AI, guided by a human-centered philosophy, can address these issues. Through a qualitative analysis of four pedagogical interventions at a vocational school (e-commerce, art, math, and computer science), we find that AI, as a pedagogical co-pilot, boosts instructional efficiency, nurtures creativity, and enables individualized learning. The case studies show AI’s ability to lower costs, remove practice barriers, and provide data-driven insights. We synthesize these findings into a conceptual framework for human-centered AI integration, emphasizing AI’s role in empowering educators and learners. This research offers a transferable model and discusses ethical considerations for creating effective and equitable learning environments.

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Section
Articles