【摘要】 船舶与海洋工程专业教学价值取向呈现知识重构、能力迁移与生态培育等三重维度，亟须突破传统学科壁垒，建立跨领域知识融合机制，推动实践场景向智能技术环境迁移，培育系统性创新生态系统。基于人工智能技术驱动逻辑，构建包含动态知识流态化融合机制、虚实融合能力培养矩阵、产教协同创新网络等三维教学模型，形成知识更新、能力塑造与生态优化的闭环体系。在实践层面，通过实施师资智能素养提升计划、开发智能教学资源平台、建立多元评价指标系统，实现教学模式从要素优化到系统重构的转型升级，为智能技术深度赋能新工科教育提供理论框架与实践范式。更多还原

【Abstract】 The pedagogical value orientation manifests three dimensions: knowledge reconstruction, competency transference, and ecosystem cultivation, necessitating breakthroughs in traditional disciplinary barriers. This paper advocates establishing cross-domain knowledge integration mechanisms, migrating practical scenarios to intelligent technological environments, and cultivating systematic innovation ecosystems. Based on AI-driven technological logic, a three-dimensional teaching model is constructed comprising dynamic knowledge fluidization integration mechanisms, virtual-real integrated competency matrices, and industry-education collaborative innovation networks, forming a closed-loop system of knowledge renewal, competency shaping, and ecosystem optimization. Practical implementation involves faculty AI literacy enhancement programs, intelligent teaching resource platforms, and multidimensional evaluation metrics, achieving transformation from component optimization to systemic reconstruction of teaching models, thereby providing theoretical frameworks and practical paradigms for deep integration of intelligent technologies with emerging engineering education.更多还原