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Wang, Y., Ma, H.Y., Wang, L.M., Ji, Y.F. and Liu, Y. (2022) Research on Cultivating the Spirit of Professional Dedication in Aviation Maintenance Support Courses. In: Proceedings of the 3rd National Forum on Ideological and Political Teaching Reform in Aerospace Courses, Northwestern Polytechnical University, Chinese Society of Aeronautics and Astronautics, Teaching Steering Committee for Aerospace Majors in Higher Education Institutions of the Ministry of Education, Beijing University of Aeronautics and Astronautics Press Co., Ltd., 6.(In Chinese)

has been cited by the following article:

• TITLE: Analysis of How Large Models Empower the Reform of Education and Training for Aviation Maintenance Positions

  AUTHORS: Ting Wang

  KEYWORDS: Large Model, Aviation Maintenance, On-the-Job Education, Training Reform, Human-Machine Collaboration, Intelligent Training

  JOURNAL NAME: Open Access Library Journal, Vol.13 No.5, May 29, 2026

  ABSTRACT: Large models, as cutting-edge technologies, are reshaping the military education landscape. In view of the “strong job orientation, high practical requirements, and rapid knowledge update” characteristics of aviation maintenance job education, this paper systematically explores the mechanism by which large models empower training reform, and reveals its advantages in promoting the leap of the “integration of combat and training” concept, reconstructing dynamic teaching content, optimizing the “unity of knowledge and action” method, expanding organizational models, and forging “on-the-spot decision-making” thinking. At the same time, dialectically examine the weakening of instructors’ status, the crisis of trainees’ integrity, the risk of knowledge “illusion”, and the security and confidentiality risks. Based on this, we propose the construction of a “combined combat and training” knowledge hub, a “precise drip irrigation” training model, a data-driven evaluation system, a virtual-real fusion training scenario, and a human-machine collaborative training strategy to provide theoretical support and practical paths for the intelligent transformation of aviation maintenance training.