基于AI和任务驱动的机械制造技术基础教学改革研究

Research on the Teaching Reform of Mechanical Manufacturing Technology Fundamentals Based on AI and Task-Driven Techniques

摘要: 针对机械制造技术基础教学模式亟需革新的迫切需求，文章提出了一种基于人工智能(AI)的任务导向型混合教学模式。首先，通过工业数据驱动方式构建智能任务生成机制，将实际制造过程中的案例转化为教学内容。其次，开发能够动态优化加工参数和智能诊断设备故障的虚实交互系统。最后，基于知识图谱演化追踪技术与认知行为模式识别算法，建立学生工程思维能力发展的动态量化评估模型。AI深度赋能的混合式教学范式，构建了智能制造领域人才培养的标准化实施路径，提供了解决工程教育与产业需求脱节问题的创新方案。

Abstract: In response to the urgent need for innovation in the teaching mode of mechanical manufacturing technology foundation, this paper proposes a task-oriented hybrid teaching mode based on artificial intelligence (AI). Firstly, an intelligent task generation mechanism is constructed through industrial data-driven methods, transforming cases from actual manufacturing processes into teaching content. Secondly, a virtual-real interactive system capable of dynamically optimizing processing parameters and intelligently diagnosing equipment faults is developed. Finally, based on knowledge graph evolution tracking technology and cognitive behavior pattern recognition algorithm, a dynamic quantitative evaluation model for the development of students’ engineering thinking ability is established. The hybrid teaching paradigm empowered by AI depth has constructed a standardized implementation path for talent cultivation in the field of intelligent manufacturing, providing an innovative solution to the problem of disconnection between engineering education and industrial demand.