| 姜冬,李筱杨,高金鹏,才志超,张小将.生成式AI赋能的航空气象课程教学新模态研究[J].军事高等教育研究,2025,48(3):65-70,76 |
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| 生成式AI赋能的航空气象课程教学新模态研究 |
| Research on a New Teaching Modality for Aviation Meteorology Courses Empowered by Generative AI |
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| DOI：10.3969/j.issn.2097-4043.2025.03.009 |
| 中文关键词: 生成式AI 航空气象 教学新模态 |
| Key Words:generative AI aviation meteorology new teaching modality |
| 基金项目:海军航空大学AI赋能教育教学改革研究与实践项目（JGXM-HD2025052） |
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| 摘要点击次数: 8 |
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| 中文摘要: |
| 生成式人工智能技术的突破性发展，引发了现代化教育领域的一场认知革命，将有力推动教学模式的智能化改革。以军队院校航空气象课程为研究对象，系统分析了生成式AI给其带来的双重影响：其机遇体现在动态知识构建与沉浸式战训场景创新，风险集中于知识可信性、价值导向及认知依赖性。研究提出了“批判性人机协同+思政过滤”的双轨防控策略，并构建了“教学设计—课程实施—教学评价”三位一体的实践框架，涵盖了智能备课系统、AI气象想定生成引擎及智能化评估指标体系。该框架可在一定程度上提升学员复杂气象决策能力，为智能化军事教育提供“技术为战、育人为魂”的创新范式。 |
| Abstract: |
| The groundbreaking development of generative artificial intelligence（AI）technology has triggered a cognitive revolution in modern education，vigorously driving the intelligent transformation of pedagogical models. This study focuses on aviation meteorology courses in military academies，systematically analyzing the dual impacts of generative AI：opportunities manifesting in dynamic knowledge construction and immersive combat-training scenario innovation，and risks regarding knowledge reliability，value orientation，and cognitive dependency. The research proposes a dual-track risk mitigation strategy of“critical human-AI collaboration + ideological value filtering”，and establishes a trinity practice framework encompassing“instructional design，course implementation，and teaching evaluation”. This framework integrates an AI-powered lesson preparation system，a meteorological scenario generation engine，and a innovative assessment indicator system. It demonstrates the potential to enhance cadets’meteorological decision-making capabilities in complex environments，offering an innovative paradigm of“technology serving combat readiness，education nurturing military ethos”for intelligent military education. |
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