节点文献
知识图谱增强网络与信息系统安全综合设计实验课程教学
Teaching and Practice in Experiment Course of Network and Information System for Security Design Enhanced by Knowledge Graph
【Author】 Chao Song;Hao Zhang;Xuyi Chen;Haomiao Yang;Weibo Liang;School of Computer Science and Engineering,University of Electronic Science and Technology of China;West China School of Basic Medical Sciences & Forensic Medicine,Sichuan University;
【机构】 电子科技大学计算机科学与工程学院; 四川大学华西基础医学与法医学院;
【摘要】 针对网络与信息系统安全综合设计实验课程中存在的知识体系离散化、实践指导滞后性、能力评估片面化等教学痛点,创新性提出三位一体的教学改革框架。通过构建知识图谱驱动的课程知识网络、AI赋能的动态答疑支持体系以及代码智能评估反馈机制,形成"结构化认知-个性化学习-精准化实践"的闭环教学模式。知识图谱实现安全领域核心概念的系统化关联,智能答疑系统突破传统教学的时空限制,代码评估平台建立量化能力评价标准。提升学生在安全机制设计、系统编程实现等维度的综合能力,为工程实践类课程的智能化改革提供新范式。
【Abstract】 To address the pedagogical pain points of fragmented knowledge,delayed practical guidance,and one-sided competency assessment in Experiment Course of Network and Information Systems for Security Design,this paper proposes an innovative,three-in-one teaching-reform framework.By building a knowledge-graph-driven course knowledge network,an AI-enabled dynamic question-answering system,and an intelligent code-evaluation feedback mechanism,a closed-loop model of "structured cognition–personalized learning–precise practice" is formed.The knowledge graph systematically interlinks core concepts in the security domain,the intelligent question-answering system breaks through the temporal and spatial limitations of traditional teaching,and the code-evaluation platform establishes quantitative standards for competency assessment.The reform enhances students’ comprehensive abilities in security-mechanism design and system-programming implementation,thereby offering a new paradigm for the intelligent transformation of engineering-practice courses.
【Key words】 large language model; knowledge graph; retrieval-augmented generation;
- 【会议录名称】 第33届全国计算机新科技与教育学术会议论文集
- 【会议名称】第33届全国计算机新科技与教育学术会议
- 【会议时间】2025-05-25
- 【会议地点】中国广西柳州
- 【分类号】TP309-4;G642.423
- 【主办单位】全国高等学校计算机教育研究会