AI赋能大学物理教学：从概念具象化到思维结构化的多模态路径研究

AI Enables College Physics Teaching: A Multimodal Path Study from Conceptual Representation to Thinking Structure

摘要: 大学物理课一直有两个大难题：理论内容太抽象，学生又很难建立系统的思维方式。最近有人开始用多种AI技术教大学物理，我们主要看它怎么通过“让抽象概念变具体”和“帮人理清思路”这两种方法，让学生学得更深入、想法也变不同。研究发现，在让概念变具体方面，像VR眼镜、AR应用和可操作的3D模拟这些技术，能造出让人身临其境的虚拟实验室。这样一来，像电磁学、量子力学这些特别难懂的内容，学生理解起来就轻松多了。在整理思维方面，知识地图、概念图和智能诊断模型这些工具特别有用，它们能帮学生把零散知识点串成系统，按照个人情况安排学习进度，还能训练更复杂的思考能力。这篇文章综合了现有的实验研究，分析了多模态AI如何提升学习效果、改变思考方式，同时也讨论了它面临的实际问题——比如设备太贵、老师要重新适应角色、隐私保护和算法是否公平等等。最后我们还展望了未来，AI可能更深度融入课堂，学习内容会根据每个人的特点自动调整，并建议学校调整物理课程内容、提供更多支持政策。这些想法希望能为AI时代的物理教学改革提供点参考方向。

Abstract: There have been two major problems in college physics: The theoretical content is too abstract, and it is difficult for students to establish a systematic way of thinking. Recently, some people have begun to teach college physics with a variety of AI technologies. We mainly look at how it can make students learn more deeply and think differently by “making abstract concepts concrete” and “helping people clarify their ideas”. Research has found that technologies such as VR glasses, AR applications, and actionable 3D simulations can create immersive virtual labs in terms of making concepts concrete. In this way, it is much easier for students to understand such particularly difficult contents as electromagnetism and quantum mechanics. In terms of sorting out thinking, knowledge maps, concept maps, and intelligent diagnostic models are particularly useful. They can help students string scattered knowledge points into a system, arrange learning progress according to personal circumstances, and train more complex thinking skills. This paper synthesizes the existing experimental research, analyzes how multimodal AI can improve learning effect and change the way of thinking, and also discusses the practical problems it faces, such as too expensive equipment, teachers’ readaptation to roles, privacy protection and fairness of algorithms. Finally, we also look forward to the future. AI may be more deeply integrated into the classroom. The learning content will be automatically adjusted according to the characteristics of each person, and it is recommended that the school adjusts the content of the physics curriculum and provides more support policies. These ideas hope to provide a reference direction for the reform of physics teaching in the AI era.