数智赋能航空机务技能型人才培养：四维分析框架的构建与应用_第二期_2026_科技创新与技术

摘要：随着新一代人工智能与数字孪生技术向航空工程领域深度渗透，传统机务技能人才培养模式面临严峻的适应性挑战。现有研究多偏向于技术工具的单向移植或宏观政策的泛化解读，对数智技术如何契合高安全约束下机务职业教育的内在机理缺乏系统探究。基于对航空机务维修专业人才培养为期两年的跟踪调研，本文构建了包含“认知—标准—价值—发展”四个维度的分析框架，系统诊断了机务人才培养中存在的目标认知窄化、评价标准固化、价值导向错位和发展链条断裂等结构性困境。在此基础上，本文提出了数智赋能的系统化重塑方案：构建动态能力图谱牵引的四层融通课程体系，探索“智能辅助—数字孪生—实景沉浸”协同教学模式，建立多模态数据驱动的过程性增值评价机制，并确立“安全底线—工匠精神—专业知识—创新能力—发展潜能”五维素养培育模型。实践检验表明，该模式有效促进了机务人员由传统操作工向复合型创新工匠的跃升，为新质生产力背景下技能型人才培养转型提供了理论参考与实践范式。

关键词：职业教育；数智赋能；航空机务；技能型人才；四维分析框架；培养范式重塑

参考文献：

[1] 国务院. 关于深入实施“人工智能+”行动的意见[Z]. 2025.

[2] 教育部等五部门. “人工智能+教育”行动计划（教科信〔2026〕1号）[Z]. 2026.

[3] 中共中央, 国务院. 教育强国建设规划纲要（2024—2035年）[Z]. 北京: 人民出版社, 2024.

[4] 中国民用航空局. 民航技能型人才培养“十四五”规划[Z]. 北京, 2025.

[5] 顾建军. 新质生产力视域下职业教育高技能人才培养的逻辑与路径[J]. 中国高教研究, 2024(6): 1-8.

[6] 欧洲航空安全局(EASA). Competency-Based Training Framework for Aviation Maintenance Personnel[R]. Cologne: EASA, 2024.

[7] Zhang Q, Cheng P, Xu S, et al. Research on generating and dynamically adapting personalized learning pathways for vocational education driven by multimodal data[C]//Proceedings of the 2026 International Conference on Informatics Education. ACM, 2026: 223-231.

[8] 祝智庭, 戴岭, 赵晓伟. 生成式人工智能赋能教育数字化转型：人机协同创新的视角[J]. 现代教育技术, 2024, 34(1): 5-15.

[9] Guo H, Li R, Zheng H, et al. AI-enabled blended teaching innovation and practice in engineering education[C]//Proceedings of the 2025 International Conference on Artificial Intelligence and Education. ACM, 2025: 135-142.

[10] Doicariu D. Digital transformation of vocational education using e-learning[J]. Land Forces Academy Review, 2025, 30(1): 48-56.

[11] Joshi S. Reskilling the workforce for the agentic AI era: A framework for educational transformation[J]. Journal of Education, Society and Behavioural Science, 2025, 37(4): 1-16.

[12] Bestyuk A, Pokhnatiuk S. Integration of artificial intelligence into higher education as a factor in increasing the efficiency of professional training[J]. Scientific Bulletin of Mukachevo State University. Series “Pedagogy and Psychology”, 2025, 11(2): 60-71.

[13] ICAO. Manual on Competency-Based Training and Assessment for Aircraft Maintenance Personnel (Doc 10098)[R]. Montreal: ICAO, 2023.

[14] Mingqiu R, Yiheng T, Bingqie W. Empowering the construction of a new quality talent training system in industry characteristic universities with digital intelligence technology[C]//Proceedings of the 2025 IEEE Conference on Artificial Intelligence and Education. IEEE, 2025: 78-85.

[15] Kapoula O, Panitsidis K, Vezou M, et al. Systemic thinking and AI-driven innovation in higher education: The case of specialized academies[J]. Education Sciences, 2026, 16(2): 183.

[16] 姜大源. 职业教育立德树人的时代内涵与实践逻辑[J]. 中国职业技术教育, 2023(1): 5-12.