Artificial Intelligence Empowered Teaching Reform for Resource-constrained “Polymer Synthesis Technology” Course

YUAN Wen-jin; LI Jing; ZHANG Lei; SUI Ying; LIU Hong-li

doi:10.14028/j.cnki.1003-3726.2026.26.029

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Artificial Intelligence Empowered Teaching Reform for Resource-constrained “Polymer Synthesis Technology” Course

更新时间：2026-06-12

- Artificial Intelligence Empowered Teaching Reform for Resource-constrained “Polymer Synthesis Technology” Course
- Polymer Bulletin (2026)
- 作者机构：
  
  天津城建大学材料科学与工程学院　天津　300384
  中国民航大学航空工程学院　天津　300300
- 作者简介：
- 基金信息：
- DOI：10.14028/j.cnki.1003-3726.2026.26.029
  CLC：
- Received：25 February 2026，
  
  Accepted：03 April 2026，
- 稿件说明：
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袁文津, 李婧, 张磊, 睢颖, 刘洪丽. 面向资源约束的聚合物合成工艺学AI赋能教学改革. 高分子通报, doi: 10.14028/j.cnki.1003-3726.2026.26.029

Yuan, W. J.; Li, J.; Zhang, L.; Sui, Y.; Liu, H. L. Artificial intelligence empowered teaching reform for resource-constrained “polymer synthesis technology” course. Polym. Bull. (in Chinese), doi: 10.14028/j.cnki.1003-3726.2026.26.029
袁文津, 李婧, 张磊, 睢颖, 刘洪丽. 面向资源约束的聚合物合成工艺学AI赋能教学改革. 高分子通报, doi: 10.14028/j.cnki.1003-3726.2026.26.029 DOI：

Yuan, W. J.; Li, J.; Zhang, L.; Sui, Y.; Liu, H. L. Artificial intelligence empowered teaching reform for resource-constrained “polymer synthesis technology” course. Polym. Bull. (in Chinese), doi: 10.14028/j.cnki.1003-3726.2026.26.029 DOI：

摘要

针对普通高校“聚合物合成工艺学”课程面临的实践及虚拟仿真教学资源匮乏所导致的能力培养困局，构建了“教师主导−学生主体−AI赋能”三元协同教学模式框架，通过课程内容重构、AI赋能教学全过程及混合实践模式三大改革，形成了以人工智能技术为核心支撑的教学新范式。实践结果表明，改革后学生课堂积极性提高，教师教学效果与效率均实现显著提升。本改革为有限资源条件下开展教学活动、培养工程实践与创新型人才提供了可复制、可推广的方案。

Abstract

The capability development challenges arising from the shortage of practical and virtual simulation teaching resources for the course “Polymer Synthesis Technology” in higher education institutions are addressed in this study. A tripartite collaborative teaching model framework centered on “teacher-led

student-centered

AI-empowered” was constructed. Meanwhile

a new teaching paradigm centered on artificial intelligence technology was established through curriculum restructuring

AI-empowered whole teaching processes

and mixed practices. Practical results demonstrate that the implementation of these reforms has significantly enhanced students’ classroom engagement

while markedly improving both teaching effectiveness and efficiency. This reform offers a replicable and scalable solution for conducting teaching activities and cultivating engineering practitioners and innovative talent under limited resource conditions.

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references

陈志华 , 苑宏英 , 高聪 , 赵国敏 . “智能+”的新工科建设: 本科教学管理与创新思考 . 中国建设教育 , 2023 , ( 3 ), 13 – 14 .

王犁 . 《中国智慧教育白皮书》正式发布 . 科教文汇 , 2025 , ( 10 ), 1 .

丁海 , 和淑文 , 王利丹 , 李发闯 , 闵志宇 , 曹伟 . 人工智能技术在《高分子材料》课程中的教学应用与探索 . 高分子通报 , 2025 , 38 ( 10 ), 1567 – 1575 .

邓萌 , 夏衍 , 郭正虹 , 闫红强 , 方征平 . 工程应用型大学“高分子物理”课程数智化教学初探 . 高分子通报 , 2026 , 39 ( 1 ), 178 – 184 .

卞军 , 蔺海兰 , 王正云 , 何汇川 , 郭彪 , 陈代强 , 蔡旭光 . AI赋能“高分子材料科学基础”一流课程教学新范式的理论探索与实践 . 塑料工业 , 2025 , 53 ( 11 ), 172 – 173 .

黄孝华 , 刘婵娟 , 臧利敏 , 周立 . 大数据时代“聚合物合成工艺学”课程实践教学改革探析 . 太原城市职业技术学院学报 , 2025 , ( 9 ), 146 – 148 .

宋欣蔚 , 谭志 , 郭蓉 . 人工智能背景下跨学科课程的教学模式探索: 以“建筑智能化系统”为例 . 中国建设教育 , 2024 , ( 2 ), 103 – 106 .

杜隆超 , 杨捷 . 《聚合物合成工艺学》的课堂教学改革与实践初探 . 高分子通报 , 2021 , ( 2 ), 88 – 90 .

张高文 , 赵西坡 , 胡涛 , 龙世军 . 基于成果导向的《聚合物合成工艺学》课程教学设计与实践 . 高分子通报 , 2019 , ( 3 ), 79 – 82 .

邓洁 , 邓丹凤 , 王泽锋 . 融合教育实践的“聚合物合成原理及工艺学”课程教学改革探究 . 西部素质教育 , 2024 , 10 ( 9 ), 169 – 172 .

雷玉龙 . 基于Aspen的丙烯聚合过程模拟 . 中国海洋大学硕士学位论文, 2013 .

卢昶 , 宫翠平 , 杨彩娟 . 聚丙烯装置Aspen Plus软件建模及应用 . 齐鲁石油化工 , 2015 , 43 ( 3 ), 189 – 193 .

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