新质生产力视域下AI赋能仪器类课程教学创新的探索与实践
Exploration and Practice of AI-Empowered Teaching Innovation for Instrumentation Courses from the Perspective of New Quality Productive Forces
摘要: 新质生产力以科技创新为驱动,以战略性新兴产业和未来产业为载体,以创新人才为支撑,对仪器类人才培养提出了知识重构、能力升维与实践转型的系统性要求,而AI技术则为破解传统教学在精准化与个性化层面的结构性困境提供了关键支撑。本文以新质生产力理论为分析框架,以《无损检测技术》课程为实践载体,围绕“课程内容重构–教学模式变革–评价机制优化”三维联动路径,系统探索AI赋能仪器类课程教学创新的可行策略。研究经过4个学期、15所高校、近2000名学习者的跨校应用验证,教学互动达7235次,课程资源体系形成多层次知识图谱结构,有效支撑了个性化学习路径规划与教学效能的显著提升。实践表明,该模式在打破校际资源壁垒、实现精准化教学与全过程多维评价方面成效显著,可为地方高校仪器类专业面向新质生产力需求转型提供可操作的实践参照。
Abstract: New quality productive forces, driven by scientific and technological innovation, supported by innovative talents, and embodied in strategic emerging industries and future industries, impose systematic demands on instrumentation talent cultivation in terms of knowledge restructuring, capability upgrading, and practical transformation. AI technology provides critical support for addressing the structural challenges of traditional teaching in terms of precision and personalization. Taking the new quality productive forces theory as the analytical framework and the Nondestructive Testing Technology course as the practical vehicle, this paper systematically explores the feasible strategies of AI-empowered teaching innovation for instrumentation courses along the three-dimensional integrated paths of “curriculum content restructuring - teaching model reform - evaluation mechanism optimization.” Through cross-institutional application and validation involving 15 universities and nearly 2,000 learners over four semesters, the teaching interactions reached 7,235 times, and the curriculum resource system has formed a multi-level knowledge graph structure, effectively supporting personalized learning path planning and significantly improving teaching effectiveness. The practice demonstrates that this model achieves notable results in breaking down inter-institutional resource barriers, enabling precision teaching, and implementing whole-process multi-dimensional evaluation, thereby providing an actionable practical reference for local universities to transform instrumentation programs to meet the demands of new quality productive forces.
文章引用:嵇海宁, 唐平华, 曾金芳, 刘斌, 王春喜. 新质生产力视域下AI赋能仪器类课程教学创新的探索与实践[J]. 教育进展, 2026, 16(9): 552-559. https://doi.org/10.12677/ae.2026.1691933

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