生成式人工智能赋能高职院校“Python”课程分层教学模式与实践  

Generative artificial intelligence empower layered teaching model and practice of“Python”course in vocational college

作　　者：彭玲[1] PENG Ling(Changsha Commerce&Tourism College,Changsha 410116,China)

机构地区：[1]长沙商贸旅游职业技术学院,长沙410116

出　　处：《计算机应用文摘》2024年第23期51-53,56,共4页

摘　　要：分层教学法强调以学生为中心,推动个性化教育的发展,但在高职院校的“Python”课程应用中存在诸多问题,如教师未精准把握学生的学习差异,教学方法不匹配学生实际需求等。基于此,生成式人工智能应运而生,具有便捷、全面的信息收集功能且支持线上即时互动,可推动分层教学在高职Python课堂中的高效实施。文章以高职“Python”课程为例,探讨了生成式人工智能在分层教学中的有效应用策略。Hierarchical teaching method emphasizes student-centered teaching and can promote the development of personalized education.However,there are many problems in the application of“Python”course in higher vocational colleges,such as teachers'failure to accurately grasp students'learning differences and teaching methods that do not match students'actual needs.Based on this,generative artificial intelligence came into being,with convenient and comprehensive information collection functions and support for online real-time interaction,which can promote the efficient implementation of layered teaching in Python classes in higher vocational colleges.Taking the“Python”course as an example,this paper discusses the effective application strategy of generative artificial intelligence in layered teaching.

关 键 词：生成式人工智能 高职“Python”课程 分层教学策略 

分 类 号：G642[文化科学—高等教育学]