物理与工程

随着人工智能技术的飞速发展，生成式人工智能在教育领域的应用逐渐受到关注。大学物理作为一门基础学科，其教学过程中面临着一些挑战，如物理概念抽象难懂、教学方式缺乏互动等。生成式人工智能具有强大的数据生成能力，有望为物理概念的可视化提供新的途径。本文以简谐振动的教学内容为例，利用DEEPSEEK大语言模型生成了旋转矢量图、拍现象、李萨如图形等网页版交互动画，能够有效地将复杂的物理概念转化为直观的可视化图像和动画，提高学生的学习效果和教学质量。将生成式人工智能技术与大学物理教学相结合，能够为物理教学改革提供新的思路和方法，具有一定的应用价值。

As artificial intelligence(AI) technology advances rapidly, generative AI is gaining attention in education. College physics teaching faces challenges like abstract concepts and lack of interaction. Generative AI, with its strong data-generation capability, can visualize physical concepts. This paper focuses on simple harmonic motion teaching. Using the DEEPSEEK large language model, it generates web-based interactive animations like rotating vector diagrams, beat phenomena, and Lissajous figures. These tools effectively simplify complex physics into intuitive visuals and animations, enhancing learning outcomes and teaching quality. Integrating generative artificial intelligence technology with college physics teaching can provide new ideas and methods for physics education reform, demonstrating certain application value.