【摘要】 高分子物理课程中存在大量的抽象概念和物理解释，如何让学生更为直观和深入地理解这些知识是教学中的难点。将抽象概念通过图片或动画的形式进行可视化展示，是解决这一教学难点的有效手段。以分子链构象部分的教学为例，利用人工智能技术编写模拟软件，将不同模型的分子链在三维空间的无规行走可视化，并计算均方末端距等统计参数。通过预设问题、模拟计算和引导讨论等环节与理论教学相配合，取得了良好的教学效果。这一教学探索展示了人工智能辅助抽象概念可视化在高分子物理教学中的应用前景。更多还原

【Abstract】 There are a large number of abstract concepts and physical explanations in polymer physics.The difficulty is how to make the knowledge more intuitive so understanding of students can be easier and deeper.Visualization of the knowledge through images or animations is an effective way to solve this problem.In this work, teaching of chain conformation is taken as an example to demonstrate artificial intelligence(AI) assisted visualization teaching.AI was used to develop a simulation program, which can show random walking of polymer chain in three-dimensional space and calculate statistical parameters such as mean square end-to-end distance.By combining pre-set question, computer simulation, and guided discussions, rather positive feedback have been achieved in classroom teaching.This exploration demonstrates the great potential of using AI to assist visualization teaching in the course of polymer physics.更多还原