人工智能驱动优秀大学生个性化培养--以GO掺杂氟碳防腐涂层的制备为例  

Artificial Intelligence Drives Personalized Training for Outstanding College Students--Preparation and Performance Study of GO Doped Fluorocarbon Anti corrosion Coating

作　　者：赵玥[1] 孙秀君[1] 王莹莹[1] ZHAO Yue;SUN Xiu-Jun;WANG Ying-ying(College of New Materials and Chemical Engineering,Tangshan University,Tangshan 063000,China)

机构地区：[1]唐山学院新材料与化学工程学院,河北唐山063000

出　　处：《安徽化工》2025年第1期177-180,共4页Anhui Chemical Industry

基　　金：河北省高等教育教学改革研究与实践项目(2020GJJG667);河北省创新创业课程建设项目(CXCYKC202302分析化学、CXCYKC202309大气污染控制工程);唐山学院一流课程建设项目(分析化学);2024年度河北省社会科学发展研究课题(202402333);河北省教育科学规划一般课题:“产”与“教”四位一体融合的工科类专业实践教学体系的研究与实践(2404001)。

摘　　要：化工学科的快速发展使得相关的教育教学工作充满了难度与挑战,人工智能与化工专业的深入融合也为大学化工专业教育带来了新的机遇。利用氧化石墨烯(GO)掺杂氟碳树脂制备防腐涂层的案例,提出人工智能驱动大学生个性化发展的教学新模式。该模式将真实案例与项目式教学相结合,利用虚拟仿真技术与现实实验相结合,为学生提供一个综合全面的学习环境,不仅可以锻炼学生的动手能力,熟悉涂料制备过程及表征手段,熟练掌握仪器的使用,同时为大学生个人能力和综合素质的提升开辟一种新的途径。The rapid development of chemical engineering has made difficulties and challenges to related educational and teaching work.The deep integration of artificial intelligence and chemical engineering has brought new opportunities for university chemical engineering education.This article used the case of graphene oxide(GO)doped fluorocarbon resin to prepare anti-corrosion coatings,and proposed a new teaching model driven by artificial intelligence for personalized development of college students.This model combined real cases with project-based teaching,and combined virtual simulation technology with real experiments to provide students with a comprehensive learning environment.It not only exercises students'hands-on ability,familiarizes them with the coating preparation process and characterization methods,Be proficient in using the instrument,but it also opens up a new way to improve the personal ability and comprehensive quality of college students.

关 键 词：人工智能 案例教学 大学生培养 氟碳涂层 

分 类 号：G642[文化科学—高等教育学]