文献类型：期刊文献

中文题名：生成式AI赋能高分子材料专业实习教学研究

英文题名：Study on Generative AI-Enabled Internship Teaching for Polymer Materials Majors

作者：佘砚[1];左沛元[1];庄启昕[1];牛德超[1];顾金楼[1];徐启杰[2];滕鑫[1]

机构：[1]华东理工大学材料科学与工程学院,上海200237;[2]上海建桥学院信息化办公室,上海201306

年份：2025

卷号：46

期号：24

起止页码：80

中文期刊名：化学教育(中英文)

外文期刊名：Chinese Journal of Chemical Education

收录：;北大核心:【北大核心2023】；

基金：华东理工大学2024年度AI赋能课程建设项目“基于数智技术的高分子材料专业实习课程混合式教学模式探索与实践”(课题编号:08)。

语种：中文

中文关键词：生成式AI;材料专业实习;大语言模型;个性化学习;教学创新

外文关键词：generative AI;materials science internship;large language model;personalized learning;teaching innovation

摘要：材料专业实习教学受限于安全规范与生产复杂性,学生参与度不足,形成了“看得见摸不着”的能力培养困境。以高分子材料专业实习为例,通过构建专业实习AI助手,整合企业生产数据、操作规范等资源,提供场景化的精准指导;结合虚拟仿真实验,打造沉浸式训练环境;开发智能问答系统,实现工艺参数调整、异常处理等复杂问题的实时交互。教学评价显示,学生理论成绩提升8.15%,实践能力提高17.23%,实现了从“被动观摩”到“主动实践”的转变,为工程教育数智化转型提供可推广的范例。
Internship teaching in materials science is a core component in cultivating engineering-oriented professionals and a crucial stage for students'transition toward professional engineering roles.Traditional internship instruction is often limited by safety regulations and production complexity,resulting in low student engagement and the dilemma of"visible but untouchable"skill development.Taking polymer materials internships as a case study,this paper explores the construction of an AI-enabled internship assistant that integrates enterprise production data,operating standards,and other resources to provide scenario-based and precise guidance.By incorporating virtual simulation experiments,an immersive training environment is created.An intelligent Q&.A system is also developed to support real-time interaction for complex tasks such as process parameter adjustment and anomaly handling.Teaching evaluations show an 8.15%improvement in theoretical scores and a 17.23%enhancement in practical abilities,marking a shift from passive observation to active practice.This research offers a replicable model for the digital-intelligent transformation of engineering education.