大学物理 ›› 2026, Vol. 45 ›› Issue (5): 62-.doi: 10.16854/j.cnki.1000-0712.250412

• 教学改革 • 上一篇    下一篇

基于问题驱动的科里奥利力教学重构

高琨,王东瑞,秦伟,司宗国   

  1. 山东大学 物理学院,山东 济南250100
  • 收稿日期:2025-08-07 修回日期:2025-09-20 出版日期:2026-07-06 发布日期:2026-08-07
  • 作者简介:高琨(1979—),男,山东德州人,山东大学物理学院教授.长期承担《力学》课程教学,并开展“以问题为导向”的力学教学实践和研究;科研方向为有机光电子学和有机半导体物理
  • 基金资助:
    山东大学本科教育教学改革研究项目(2024Y278)

Teaching reconstruction of Coriolis force grounded  in problem-driven methodology

GAO Kun, WANG Dongrui, QIN Wei, SI Zongguo   

  1. School of Physics,Shandong University, Jinan Shandong 250100, China
  • Received:2025-08-07 Revised:2025-09-20 Online:2026-07-06 Published:2026-08-07

摘要: 科里奥利力作为转动参考系中的典型惯性力,其物理本质的理解和相关现象的量化分析是大学物理专业力学教学中的重要环节.本文基于建构主义学习理论,针对传统科里奥利力教学中存在的过度依赖数学推导、物理图像不清晰、学生知算不识理等教学难点,系统性地提出“问题驱动-物理建模-数值模拟”三位一体的教学重构方案.通过精心设计阶梯式问题链,首先引导学生借助物理模型完成从现象观察到理论建构的认知过程,然后结合Matlab数值模拟,实现科里奥利力效应的可视化,帮助学生有效突破从理论推导到物理直观的认知障碍.


关键词: 科里奥利力, 转动参考系, 问题驱动, 物理建模, 数值模拟

Abstract: The Coriolis force, as a typical inertial force in a rotating reference frame, plays a crucial role in the mechanics curriculum for university physics majors, where understanding its physical essence and conducting quantitative analysis of related phenomena are essential components. This paper, grounded in constructivist learning theory, systematically proposes a trinitarian teaching reconstruction framework of “problem-driven methodology, physical modeling, and numerical simulation” to overcome the pedagogical challenges in traditional Coriolis force teaching, such as excessive reliance on mathematical derivations, unclear physical picture, and students ability to calculate without conceptual understanding. Through carefully designing a step-by-step questioning framework, this teaching plan firstly guide students to complete the cognitive process from phenomen observation to theoretical construction by building physical models, thus achieve visualization of Coriolis force effects by incorporating Matlab based numerical simulations, which helps students to overcome the cognitive barriers between theoretical derivation and physical intuition.



Key words: Coriolis force, rotating reference frame, problem-driven, physical modeling, numerical simulation