产教融合视域下“AI驱动 + 企业嵌入式”人才培养体系构建——以新能源汽车行业应用型人才培养为例

Building an “AI-Driven and Corporate-Embedded” Talent Training Framework through Industry-Education Integration—A Case Study of Applied Talent Cultivation in the New Energy Vehicle Industry

摘要: 在中国持续深化高等教育改革的背景下，民办高校在培养新能源汽车(NEV)领域专业人才方面承担着日益重要的角色。然而，目前仍存在三个关键挑战：资源约束、产教脱节现象显著、校企合作薄弱，这些问题共同影响了应用型人才培养的质量。本研究提出了一种集成的“AI驱动增强教育 + 企业嵌入式校园”框架，旨在实现新能源汽车人才培养中技术、产业、创新、人才培养深度融合。通过“资源–能力”优化范式，我们构建了一个以数据驱动决策、技术增强学习场景和双向产教反馈机制为特征的可持续培养模式。此范式不仅响应了行业特定需求，也为中国快速发展的新能源汽车产业确保了稳定输送具备行业即战力的技术专业人才管道。

Abstract: Against the backdrop of China’s ongoing deepening of higher education reform, private universities are playing an increasingly important role in cultivating professionals in the new energy vehicle (NEV) sector. However, three key challenges persist: resource constraints, a noticeable disconnection between education and industry, and weak university-enterprise collaboration. These issues collectively compromise the quality of applied talent cultivation. This study proposes an integrated “AI-Driven and Corporate-Embedded campus” framework, aiming to achieve deep integration of technology, industry, innovation, and talent development in NEV professional training. Through a “resource-capability” optimization paradigm, we have constructed a sustainable cultivation model characterized by data-driven decision-making, technology-enhanced learning scenarios, and a bidirectional industry-education feedback mechanism. This paradigm not only addresses industry-specific demands but also ensures a steady pipeline of job-ready technical professionals for China’s rapidly evolving NEV industry.