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作 者:郑克松 ZHENG Kesong(Changjiang Institute of Technology,Wuhan 430212,Hubei)
出 处:《长江工程职业技术学院学报》2024年第3期26-29,共4页Journal of Changjiang Institute of Technology
摘 要:为了解决高职院校计算机网络技术课程中的实践教学难题,特别是针对传统课堂教学方式无法满足学生实践能力需求的问题,提出了智能化的eNSP实训自动批改技术。为解决模拟器软件在实训批改中的局限性,设计了VRP配置文件解析算法、基于OCR的实训截图批改算法、多尺度图像模板匹配算法、批改程序自动生成算法以及基于学生ID的防作弊算法。通过这些算法和系统的设计与实现,成功实现了对学生实训过程的实时评估与批改,显著提高了实训教学的效率和质量。实验验证表明,该方案具有有效性和实用性,为高职院校基于eNSP的实训教学提供了一种有效的解决方案。In order to solve the practical teaching problems in computer network technology courses in higher vocational colleges,especially the problem that traditional classroom teaching methods cannot meet the needs of students’practical ability,an intelligent eNSP practical training automatic correction technology is proposed.In order to solve the limitations of simulator software in practical training correction,a VRP configuration file parsing algorithm,an OCR-based practical training screenshot correction algorithm,a multi-scale image template matching algorithm,an automatic correction program generation algorithm,and an anti-cheating algorithm based on student ID are designed.Through the design and implementation of these algorithms and systems,the real-time evaluation and correction of students’practical training process are successfully realized,which significantly improves the efficiency and quality of practical training teaching.Experimental verification shows that the scheme is effective and practical,and provides an effective solution for practical training teaching based on eNSP in higher vocational colleges.
分 类 号:TP393.03-4[自动化与计算机技术—计算机应用技术] G712[自动化与计算机技术—计算机科学与技术]
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