【摘要】 为紧跟学科发展前沿，顺应人工智能(artificial intelligence, AI)时代的人才需求，主要探讨了AI在微波遥感课程教学改革与实践中的地位与作用。针对当前的微波遥感课程教学内容中前沿技术引入少、课程结构单一以及重理论轻实践等问题，提出了AI支持下“重构课程体系，开发教学资源，创新教学模式”的微波遥感课程教学改革与实践策略。注重引入前沿AI技术内容、互动式教学方法改革、多学科融合的人才培养模式、智能化考核机制四个方面，进行微波遥感课程教学改革，显著提升了微波遥感课程的教学质量，培养了掌握人工智能技术的测绘遥感人才，为相近课程提供借鉴和参考。该教学改革有效提升微波遥感课程的教学质量和育人效果，培养出适应“AI+遥感”行业需求的复合型人才。更多还原

【Abstract】 To align with the latest developments in the field and respond to the growing demand for AI-savvy professionals, this study investigates the integration and impact of artificial intelligence(AI) in the reform and practice of teaching the Microwave Remote Sensing course. Addressing key limitations of the current curriculum—such as insufficient incorporation of emerging technologies, a rigid course structure, and an imbalance between theoretical and practical content—this study proposes a reform strategy supported by AI. The strategy involves restructuring the course framework, enriching teaching resources, and innovating pedagogical approaches. The reform emphasizes four aspects: integration of advanced AI technologies, implementation of interactive teaching methods, development of interdisciplinary training models, and adoption of intelligent assessment systems. These efforts have significantly enhanced the teaching quality of the Microwave Remote Sensing course and contributed to the cultivation of remote sensing professionals equipped with AI competencies, offering valuable insights for similar curriculum reforms. The proposed reform has proven effective in improving both instructional quality and educational outcomes, fostering the development of interdisciplinary talents capable of meeting the evolving demands of the "AI + Remote Sensing" sector.更多还原