文献类型：期刊文献

中文题名：结合化工特色的人工智能辅助大学物理实验教学设计——以密立根油滴实验为例

英文题名：Artificial Intelligence-Assisted University Physics Experiment Teaching Design with Characteristics of Chemical Engineering—A Case Study of the Millikan Oil-Drop Experiment

作者：黄盈盈[1];梁珊珊[1];张孟[1]

机构：[1]华东理工大学物理学院

年份：2026

卷号：43

期号：2

起止页码：101

中文期刊名：化工高等教育

外文期刊名：Higher Education in Chemical Engineering

基金：华东理工大学2025年本科教育教学改革重大项目“人工智能赋能(AI+)课程建设(教学方法创新大学物理实验)”(09)。

语种：中文

中文关键词：人工智能;大学物理实验;密立根油滴;油气储运;教学改革

外文关键词：Artificial intelligence;University physics experiments;Millikan oil-drop;Oil and gas storage and transportation;Teaching reform

摘要：人工智能(Artificial Intelligence,AI)技术在教育领域的应用正深刻改变着工科实验教学模式。文章结合油气储运工程专业的特色,设计了一个AI辅助的综合教学系统,包括慕课学习平台、虚拟仿真实验平台、智慧课堂与实时监测系统,并以经典的密立根油滴实验为例,探讨了该系统在实验预习、数据分析、个性化学习中的具体应用。结果表明,AI辅助的大学物理实验教学不仅提升了教学效率,还增强了学生的自主学习能力、实践能力与创新意识,为化工类专业的物理实验教学提供了借鉴。
The application of artificial intelligence(AI)technology in education is profoundly changing the teaching model of engineering experiments.This study integrates the characteristics of Oil&Gas Storage and Transportation specialty to design an AI-assisted comprehensive teaching system,which comprises an MOOC learning platform,a virtual simulation experiment platform,a smart classroom,and a real-time monitoring system.Taking the classic Millikan Oil-Drop Experiment as a case,this paper explores the applications of this system in experiment simulation,data analysis,and personalized learning.The results indicate that AI-assisted university physics experimental teaching not only enhances teaching efficiency but also strengthens students abilities of autonomous learning and practice,as well as their innovation awareness,providing a reference for physics experimental teaching in chemical engineering disciplines.