创新创业理论研究与实践 ›› 2024, Vol. 7 ›› Issue (18): 173-175.

• 创新方法 • 上一篇    下一篇

深度学习场域构建法在大学教学中的应用——以摄影测量学课程为例

解斐斐, 王志勇, 刘健辰   

  1. 山东科技大学 测绘与空间信息学院,山东青岛 266590
  • 出版日期:2024-09-25 发布日期:2024-11-27
  • 作者简介:解斐斐(1983—),女,山东青岛人,博士研究生,讲师,研究方向:无人机摄影测量、机器视觉。
  • 基金资助:
    2019年山东省研究生教育质量提升计划项目“矿产普查与勘探专业开放式研究生培养模式研究”(SDYJG19081); 2021年山东科技大学青年教师教学拔尖人才培养项目“数字摄影测量课程体系改革研究”(BJ20200503)

Study on the Application of Deep Learning Field Construction Method in Teaching Photogrammetry—Taking Photogrammetry Course as an Example

XIE Feifei, WANG Zhiyong, LIU Jianchen   

  1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao Shandong, 266590, China
  • Online:2024-09-25 Published:2024-11-27

摘要: 针对当前泛在学习环境下学生如何自主完成对课程知识的有效掌握和深入理解,该文提出了深度学习场域构建法在摄影测量学课程教学中具体的应用方法,包括构建丰富的教学资源、以学生为主导的“擅长帮”课程教学方法、适宜的评价体系。该研究可以拓展学生的学习渠道,提高学生自主学习的效率与能力,启发学生的创新思维。

关键词: 深度学习场域, 摄影测量学, 创新教学, 评价体系, 大学教学, 自主学习

Abstract: Aiming at the current ubiquitous learning environment, how students can independently complete the effective mastery and deep understanding of the course knowledge, this paper proposes the specific application of the deep learning field construction method in the teaching of Photogrammetry, including the construction of rich teaching resources, student-led“good at helping”course teaching methods, appropriate evaluation system. The research can broaden students'learning. This research can broaden students' learning channels, improve students'independent learning efficiency and ability, and inspire students’innovative thinking.

Key words: Deep learning field, Photogrammetry, Innovative teaching, Evaluation system, University teaching, Self directed learning

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