Exploration of the “Theory-Practice-Intelligence” Integrated Curriculum Reform in Polymer Physics: Using the Synthesis-Structure-Performance of Poly(vinyl butyral) as the Course Framework

GAO Liang

doi:10.14028/j.cnki.1003-3726.2025.25.002

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Exploration of the “Theory-Practice-Intelligence” Integrated Curriculum Reform in Polymer Physics: Using the Synthesis-Structure-Performance of Poly(vinyl butyral) as the Course Framework

更新时间：2025-05-23

- Exploration of the “Theory-Practice-Intelligence” Integrated Curriculum Reform in Polymer Physics: Using the Synthesis-Structure-Performance of Poly(vinyl butyral) as the Course Framework
- Polymer Bulletin Vol. 38, Issue 6, Pages: 972-981(2025)
- 作者机构：
  
  广东工业大学轻工化工学院，广州 510006
- 作者简介：
- 基金信息：
- DOI：10.14028/j.cnki.1003-3726.2025.25.002
  CLC：
- Received：27 January 2025，
  
  Accepted：27 February 2025，
  
  Published Online：16 April 2025，
  
  Published：20 June 2025
- 稿件说明：
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高粱. 高分子物理的“理-实-智”一体化课程改革探索: 以聚乙烯醇缩丁醛合成-结构-性能为课程载体. 高分子通报, 2025, 38(6), 972-981.

Gao, L. Exploration of the “theory-practice-intelligence” integrated curriculum reform in polymer physics: using the synthesis-structure-performance of poly(vinyl butyral) as the course framework. Polym. Bull. (in Chinese), 2025, 38(6), 972-981.
高粱. 高分子物理的“理-实-智”一体化课程改革探索: 以聚乙烯醇缩丁醛合成-结构-性能为课程载体. 高分子通报, 2025, 38(6), 972-981. DOI： 10.14028/j.cnki.1003-3726.2025.25.002.

Gao, L. Exploration of the “theory-practice-intelligence” integrated curriculum reform in polymer physics: using the synthesis-structure-performance of poly(vinyl butyral) as the course framework. Polym. Bull. (in Chinese), 2025, 38(6), 972-981. DOI： 10.14028/j.cnki.1003-3726.2025.25.002.

摘要

对于非高分子专业的高分子物理课程教学，迫切需要加强工程实践导向，重点培养学生的复杂工程问题解决能力。本研究构建了一种“理-实-智”的一体化教学模式，该模式以聚乙烯醇缩丁醛（PVB）的“合成-结构-性能”关系为主线，将理论讲授、实验实践与人工智能工具（如ChatGPT）深度融合。通过PVB产品设计案例，系统阐释了从分子合成到凝聚态结构演变，最终影响制品性能的全过程机理。此外，借助AI技术实现理论公式的可视化呈现与实验数据的智能分析，直观地展示参数-性能的定量关系，这显著提升了学生对抽象理论的理解深度和学习兴趣。教学实践反馈显示，该模式在提升实践价值和应用AI教育工具方面得到了普遍认可。后续研究将重点优化项目设计深度、完善AI技术融合方案、强化学生对高分子物理核心概念的掌握效果，从而为推进跨学科创新人才培养提供新的实践路径。

Abstract

The teaching of polymer physics in non-polymer-related disciplines needs to further emphasize engineering practice and applications

focusing on cultivating the ability to solve complex real-world engineering problems through continuous learning. This course reform explored the use of poly(vinyl butyral) (PVB) “synthesis-structure-property” as a framework

integrating theoretical instruction

experimental practice

and AI tools (such as ChatGPT). By restructuring the course content

we have created an “integration of theory

practice

and intelligence” teaching model to cover the core elements of polymer physics. Through PVB product design

we connect the relationship between “synthesis-molecular structure-condensed state structure and product performance”. Additionally

by using AI to visualize formulas and perform data analysis

we made the influence of parameters on properties in theoretical formulas more concrete

thereby stimulating students’ interest and understanding. Feedback indicates that the practical value of the project and the educational utility of AI tools have been widely recognized. In the future

we will further optimize project design

deepen the integration of AI technology

and enhance students’ mastery of key polymer physics concepts to advance interdisciplinary education.

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references

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Related Institution

School of Materials Science and Engineering, Zhengzhou University

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