AIGC在高职服装专业混合式教学中的实施与优化研究  

Implementation and Optimization of AIGC in Blended Learning for Higher Vocational Fashion Programs

作　　者：袁玺 YUAN Xi(Wuxi Vocational Institute of Arts&Technology,Yixing 214206,China)

机构地区：[1]无锡工艺职业技术学院,江苏宜兴214206

出　　处：《西部皮革》2024年第17期52-54,共3页West Leather

基　　金：无锡市职业技术教育学会2024年研究课题“新质生产力与现代职业教育”(wxzj24B15);无锡工艺职业技术学院2021党建与思想政治教育研究课题“基于协同育人理念的服装市场营销课程思政建设探究”(Djsz202105)。

摘　　要：文章针对生成式人工智能(AIGC)在高职服装教育混合式教学中的应用,分析了其在课程设计、个性化学习、虚拟实验及教学资源优化等方面的实际效用。在对市场与学生需求研究分析的基础上,阐述了AIGC如何协助教师提升课程质量、提升学生实操能力和为学生提供个性化学习支持。通过智能反馈增强教学互动,针对存在的设计同质化与个性化推荐局限,提出优化策略,以促进高职教育创新与发展。This work investigates the application of artificial intelligence generated content(AIGC)in blended teaching within vocational fashion education.It examines its practical benefits in areas such as course design,personalized learning,virtual experimentation,and the enhancement of teaching resources.Based on an analysis of market and student needs,it elucidates how AIGC assists educators in improving course quality,enhancing students'practical skills,and providing personalized learning support.By enhancing teaching interaction through intelligent feedback,and addressing the existing issues of design homogenization and limitations in personalized recommendations,it proposes optimization strategies to promote innovation and development in higher vocational education.

关 键 词：服装教育 混合教学策略 生成式人工智能应用 职业教育创新 

分 类 号：G40-057[文化科学—教育学原理]