AI视觉技术在高校计算机专业教学中的应用  

Application of AI vision technology in computer science teaching in university

作　　者：梁宏健 LIANG Hongjian(Liuzhou Institute of Technology,Liuzhou,Guangxi 545616,China)

机构地区：[1]柳州工学院,广西柳州545616

出　　处：《计算机应用文摘》2025年第8期69-71,共3页

摘　　要：高校计算机专业教学面临理论与实践脱节、个性化指导缺失和实验资源不足等问题。文章提出了基于AI视觉技术的“感知—分析—干预”教学框架,结合实时编程指导系统、课堂行为分析系统和代码复杂度评估机制,旨在提升编程能力和课堂参与度。系统采用动态OCR技术与静态代码分析工具,能够实时诊断编程错误,并根据学生的专注度调整教学策略。实验结果表明,该框架显著提高了学生的编程能力、实践水平和学习效率,通过个性化反馈和实时调整,学生的学习状态得到有效提升。此框架为计算机专业的智能化转型提供了理论和实践支持,展示了AI技术在教育领域的广阔应用前景。The teaching of computer science majors in universities faces problems such as a disconnect between theory and practice,a lack of personalized guidance,and insufficient experimental resources.The article proposes a“perception—analysis—intervention”teaching framework based on AI vision technology,combined with realtime programming guidance system,classroom behavior analysis system,and code complexity evaluation mechanism,aiming to enhance programming ability and classroom participation.The system adopts dynamic OCR technology and static code analysis tools,which can diagnose programming errors in real time and adjust teaching strategies according to students̓focus.The experimental results show that the framework significantly improves students̓programming ability,practical level,and learning efficiency.Through personalized feedback and realtime adjustment,students̓learning status is effectively improved.This framework provides theoretical and practical support for the intelligent transformation of computer majors,demonstrating the broad application prospects of AI technology in the field of education.

关 键 词：AI视觉技术 高校计算机教学 实时编程指导 课堂行为分析 

分 类 号：G642[文化科学—高等教育学]