基于“AI赋能–双驱教学–动态评价”三维协同的自动化人才培养模式改革研究

Research on the Reform of the Automated Talent Training Model Based on the Three-Dimensional Synergy of “AI Empowerment, Dual-Drive Teaching, and Dynamic Evaluation”

摘要: 为应对智能制造时代对AI融合型自动化人才的迫切需求，针对当前自动化专业教育中存在的AI技术融合浅表化、产教协同机制不畅、评价体系单向静态等瓶颈，构建“AI赋能–双驱教学–动态评价”三维协同人才培养模式。重构传统课程体系，形成基础层–贯通层–实战层三阶递进式AI赋能课程群；打造“数字孪生虚拟仿真 + 企业真实项目案例库”双轮驱动的虚实融合教学平台，构建模拟验证–真机调试–迭代优化的工程能力培养闭环；建立基于多源学习行为大数据的动态评价系统，实现对工程实践能力的多维度精准评估与智能反馈，形成“技术赋能–平台支撑–评价引领”三位一体的新工科人才培养解决方案。

Abstract: In response to the urgent demand for AI-integrated automation talents in the era of intelligent manufacturing, addressing the current bottlenecks in automation education—such as superficial AI integration, ineffective industry-education collaboration mechanisms, and a one-dimensional static evaluation system-a three-dimensional collaborative talent cultivation model of “AI Empowerment, Dual-Driven Teaching, and Dynamic Evaluation” has been developed. This model restructures the traditional curriculum system to form a three-tier, progressively advanced AI-enhanced course cluster: foundation, integration, and application. It creates a dual-driven virtual-physical integrated teaching platform based on “digital twin virtual simulation and real-world enterprise project cases,” forming a closed-loop for cultivating engineering capabilities through simulation verification, real-device debugging, and iterative optimization. Furthermore, a dynamic evaluation system utilizing big data from diverse learning behaviors enables multidimensional, precise assessment and intelligent feedback on engineering practice skills. Ultimately, this approach establishes a comprehensive talent cultivation solution for emerging engineering education, characterized by the integration of “technology empowerment, platform support, and evaluation guidance.”