Research on the Innovation and Development Path of the Vocational Undergraduate Education System Enhanced by Artificial Intelligence

Abstract

Breakthrough advancements in artificial intelligence technology have triggered profound transformations in industrial structures and imposed new demands on the knowledge frameworks and competencies of high-level technical professionals. Under these circumstances, vocational undergraduate education urgently requires exploring effective pathways for developing intelligent educational models. This paper takes the positioning of vocational undergraduate education and its educational mission as starting points, analyzes the theoretical rationale and practical foundations of intelligent technology-assisted education, and identifies key challenges in current practices, including the disconnect between curriculum design and industry needs, insufficient integration of intelligent elements in practical teaching, limited dimensions in learning assessment, and superficial collaboration mechanisms between schools and enterprises. Based on this analysis, the study proposes an innovative development framework comprising four dimensions: curriculum restructuring, intelligent training environment development, diversified evaluation mechanisms, and optimized industry-education integration ecosystems. Specifically, the curriculum restructuring dimension advocates for the systematic incorporation of AI-related modules and interdisciplinary content to align program offerings with evolving industry requirements. The intelligent training environment development dimension emphasizes the deployment of smart laboratories, virtual simulation platforms, and data-driven instructional tools to enhance experiential learning outcomes. The diversified evaluation mechanisms dimension introduces multi-stakeholder assessment models that integrate real-time performance analytics and competency-based benchmarks. Finally, the optimized industry-education integration ecosystems dimension proposes deepened partnerships with technology enterprises to co-develop training standards and facilitate talent mobility. This approach aims to facilitate the integration of intelligent technologies with educational practices, drive systemic improvements in vocational undergraduate education models, and provide theoretical support along with actionable solutions for establishing high-quality vocational education systems that serve the innovation-driven development strategy.