多模态大模型赋能的机械类专业研究生教育教学改革实践探索

Exploration of Teaching Reform Practice in Mechanical Engineering Graduate Education Empowered by Multimodal Large Models

摘要: 研究生教育承担着培养高层次创新人才、推动科技自立自强的关键任务。然而，当前机械类专业研究生教育存在理论与实践脱节、创新能力培养不足、产教融合不深及教学评价模式滞后等突出问题。本文构建适配机械工程领域特点的多模态大模型教育应用体系，实现复杂工程知识的动态可视化表征与沉浸式实践场景生成；探索多模态大模型赋能创新能力培养的教学模式，搭建虚拟仿真实践平台、开发科研辅助工具、创新“智能助教 + 师生协同”互动模式；建立多维度评价与产教融合机制，整合多源数据评估创新能力，转化企业真实问题为教学任务。本文的研究成果可提升机械类研究生的工程认知、实践能力与科研创新能力，提供可复制的改革经验，具有重要的现实意义和推广价值。

Abstract: Graduate education bears the key task of cultivating high-level innovative talents and promoting technological self-reliance and self-improvement. However, there are prominent problems in the current graduate education of mechanical engineering majors, such as the disconnect between theory and practice, insufficient cultivation of innovation ability, shallow integration of industry and education, and lagging teaching evaluation models. This article constructs a multimodal large model education application system that adapts to the characteristics of the mechanical engineering field, achieving dynamic visualization representation of complex engineering knowledge and immersive practical scene generation; Explore the teaching mode of empowering innovation ability with multimodal large models, build a virtual simulation practice platform, develop research assistance tools, and innovate the “intelligent teaching assistant + teacher-student collaboration” interactive mode; Establish a multi-dimensional evaluation and industry education integration mechanism, integrate multi-source data to evaluate innovation capabilities, and transform real enterprise problems into teaching tasks. The research results of this article can enhance the engineering cognition, practical ability, and scientific research innovation ability of mechanical graduate students, provide replicable reform experience, and have important practical significance and promotion value.