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基于AI大模型的高职院校智能化辅助教学探索

Exploring Intelligent Assisted Teaching in Higher Vocational Colleges Based on AI Models
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摘要 随着人工智能技术的快速发展,在线学习、直播、ChatGPT等新媒体迅速融入教育领域,智能化教学成为职业教育的核心趋势。然而,高职院校的公共基础课程内容单一、教学方式陈旧,难以满足学生的个性化学习需求,并未及时跟上技术变革,影响教学质量和学习效果。利用开源AI大模型,可实现个性化学习路径设计、学习进展自动统计、课堂质量智能评估等功能,有效提高教学效率和学习效果。因此,探索基于AI大模型的高职智能辅助教学方案,将推动教育创新,为职业教育提供前沿技术支持与实际应用价值。 The swift advancement of artificial intelligence(AI)technologies has facilitated the integration of new media such as online learning platforms,live-streaming,and advanced tools like ChatGPT into the realm of education,positioning intelligent teaching as a pivotal trend in vocational training.Despite this,many public foundational courses at vocational colleges remain constrained by monotonous content and outdated pedagogical approaches,falling short of addressing students’diverse learning preferences and failing to keep pace with technological innovations.This disparity negatively impacts both teaching quality and learner engagement.By harnessing open-source AI large models,educators can implement personalized learning pathways,automate the tracking of learning progress,and conduct intelligent assessments of classroom performance.These advancements not only enhance teaching efficiency but also significantly improve learning outcomes.Consequently,this paper explores the potential of AI-driven intelligent teaching solutions within vocational education,aiming to foster educational innovation and offer substantial technical support and practical applications that align with contemporary educational demands.
作者 李晨 王书旺 Li Chen;Wang Shuwang(Nanjing Vocational College of Information Technology,Nanjing 210037,China)
出处 《办公自动化》 2025年第11期37-39,共3页 Office Informatization
基金 中国高校产学研创新基金-新一代信息技术创新项目重点项目(2023IT052)。
关键词 AI大模型 智能化辅助教学 个性化学习路径 课堂质量评价 AI large model intelligent assisted teaching personalized learning path classroom quality evaluation
作者简介 李晨(1985-),女,汉族,安徽砀山人,硕士,讲师,现任南京信息职业技术学院素质教育部教务办主任,研究方向:职业教育;王书旺(1979-),男,汉族,河南南阳人,博士在读,副教授,现任南京信息职业技术学院素质教育部副部长,研究方向:职业教育。
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