创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (4): 98-100.

• 教育改革与发展 • 上一篇    下一篇

遥感原理与应用课程混合式教学改革实践

蔡宏, 汪泓, 杨隆珊, 张显云   

  1. 贵州大学,贵州贵阳 550003
  • 出版日期:2026-02-25 发布日期:2026-07-01
  • 作者简介:蔡宏(1979—),女,甘肃金昌人,博士研究生,教授,研究方向:资源与环境遥感。
  • 基金资助:
    2023年省级本科教学内容和课程体系改革项目“遥感原理与应用课程思政示范课程”(2023032); 贵州大学2025年度本科智慧课程项目“遥感原理与应用”(ZHKC2025043); 2021年度贵州大学测绘工程国家级一流专业建设项目“测绘工程”

Reform and Practice of Blended Teaching in Remote Sensing Principles and Applications Course

CAI Hong, WANG Hong, YANG Longshan, ZHANG Xianyun   

  1. Guizhou University, Guiyang Guizhou, 550003, China
  • Online:2026-02-25 Published:2026-07-01

摘要: 针对遥感原理与应用课程中知识体系构建困难、全流程解决工程实际问题能力不足、深入学习的体验感缺失等问题,该文基于OBE(成果导向教育)和BPL(问题导向学习)理念构建课程知识图谱、线上资源库、课堂案例和拓宽训练项目库,设计了“线上自主—课堂深入—工程实践循环互补”的“三课堂,一拓宽”混合式教学模式,开展了以“区域融合、案例贯穿、能力进阶”为特色的线上线下混合式教学改革。实践表明:该模式可显著提升学生学习成效,有效激发学生深度学习热情与创新能力,实现知识传授向能力培养的实质性转变,同时推动智能教育可持续发展。

关键词: 线上线下混合, 知识图谱, 实际工程案例, 服务地方, 能力导向, 遥感

Abstract: Addressing the challenges observed in the principles and applications of remote sensing course, such as difficulties in constructing a coherent knowledge system, limited ability to solve engineering problems through full-process application, and a lack of immersive deep learning experiences, this class develops the knowledge graph, online resource repository, in-class case bank, and an expanded training project library based on the OBE and BPL frameworks. A blended teaching model termed “three classrooms, one enhancement (comprising the online classroom, offline classroom, practical classroom, and project-based expansion)”was designed, emphasizing cyclic integration among self-directed online learning, in-depth classroom instruction, and engineering practice. Reforms in blended online-offline teaching were implemented, characterized by regional context integration, region-specific real-world engineering cases, and progressive competency development. Practice has shown that this model significantly improves student learning outcomes, stimulates enthusiasm for deep learning and innovation, facilitates a substantive shift from knowledge transmission to capacity building, and contributes to the sustainable advancement of intelligent education.

Key words: Online and offline blended learning, Knowledge graph, Engineering cases, Support local development, Competency-oriented, Remote sensing

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