人工智能赋能装备实践教学的技术融合路径探索研究

Exploration and Research on the Technological Integration Path of Empowering Equipment Practice Teaching with Artificial Intelligence

摘要: 随着军事教育现代化进程的加速，装备实践教学作为培养高素质军事人才的关键环节，正面临装备资源不足、学员规模庞大、教学手段陈旧、信息化水平偏低等现实挑战。本文聚焦当前装备实践教学中的痛点问题，提出以人工智能技术为驱动，构建“智能仿真–虚实融合–精准教学–动态评估”一体化教学新模式。通过技术融合路径探索，系统设计“AI+装备实践教学”解决方案，涵盖智能虚拟装备平台建设、自适应学习系统开发、人机协同实训机制构建与教学数据闭环管理等关键环节，旨在为破解装备实践教学“资源少、人员多、手段旧、信息化弱”难题提供可复制、可推广的实施路径，对推动军事教育数智化转型、实现高质量人才培养具有重要理论与实践价值。

Abstract: With the accelerating advancement of military education modernization, equipment practice teaching, as a key link in cultivating high-quality military talents, is facing practical challenges such as insufficient equipment resources, large student scale, outdated teaching methods, and low levels of informatization. This paper focuses on the core pain points in current equipment practice teaching and proposes a new integrated teaching model driven by artificial intelligence technology, which includes “intelligent simulation virtual real integration precise teaching dynamic evaluation”. Through exploring the path of technological integration, the system designs a “AI + Equipment Practice Teaching” solution, covering key aspects such as the construction of intelligent virtual equipment platforms, the development of adaptive learning systems, the construction of human-machine collaborative training mechanisms, and closed-loop management of teaching data. The aim is to provide a replicable and scalable implementation path for solving the problem of “limited resources, multiple personnel, outdated methods, and weak informatization” in equipment practice teaching, which has important theoretical and practical value for promoting the digital transformation of military education and achieving high-quality talent cultivation.