人工智能赋能下“双元五维”产科教融合人才培养模式改革与实践

Reform and Practice of the “Dual-Entity and Five-Dimension” Industry-Science-Education Integration Talent Cultivation Model Empowered by Artificial Intelligence

摘要: 面对人工智能引发的产业变革与“新工科”建设需求，传统工程人才培养模式已难以适应现代智能制造的发展。针对产教融合“校热企冷”、国际资源融合较浅、赛教脱节以及AI融入浮于表面等核心痛点，本文创新性地提出以“数智牵引、产科教融汇”为核心的“双元五维”人才培养新模式。该模式确立了校企协同育人的“双元”主体地位，并系统性重构培养方案、课程体系、实践平台、评价机制与师资团队“五个维度”。通过深化产科教协同创新、推进国际优质资源本土化、实现赛教融通转化以及利用人工智能赋能课程重构四大实施路径，有效破解了当前人才供需的结构性矛盾。这一改革不仅为地方应用型高校的“新工科”建设提供了可复制的实践范例，更为培养兼具国际视野、数智素养与跨学科解决复杂工程问题能力的高素质复合型人才奠定了坚实基础。

Abstract: In the face of the industrial transformation triggered by artificial intelligence and the demands of “Emerging Engineering Education” (EEE) construction, traditional engineering talent cultivation models struggle to meet the development needs of modern intelligent manufacturing. To address core pain points such as the imbalance in industry-education integration (where universities are enthusiastic while enterprises remain apathetic), the shallow integration of international resources, the disconnection between discipline competitions and teaching, and the superficial incorporation of AI, this paper innovatively proposes a “Dual-Entity, Five-Dimension” talent cultivation model centered on “digital-intelligence guidance and industry-science-education integration.” This model establishes universities and enterprises as the “dual entities” of collaborative education, and systematically reconstructs the “five dimensions” of the training program, curriculum system, practice platform, evaluation mechanism, and teaching faculty. Through four major implementation pathways—deepening collaborative innovation across industry, science, and education; promoting the localization of high-quality international resources; realizing the integration and transformation of competitions and teaching; and utilizing AI to empower curriculum reconstruction—this approach effectively resolves the current structural contradictions between talent supply and demand. This reform not only provides a replicable practical paradigm for EEE construction in local application-oriented universities, but also lays a solid foundation for cultivating high-quality, compound talents equipped with an international perspective, digital-intelligence literacy, and the interdisciplinary capability to solve complex engineering problems.