As the core basic course of computer science,the computer network course has long been faced with teaching dilemmas such as many and fragmented knowledge points,abstract and difficult to understand protocol levels,and...As the core basic course of computer science,the computer network course has long been faced with teaching dilemmas such as many and fragmented knowledge points,abstract and difficult to understand protocol levels,and a disconnection between theory and practice.Aiming at these problems,this study constructs a knowledge framework ontology covering all levels of TCP/IP protocol stack,designs a hierarchical and multidimensional visual teaching system,and carries out quasi-experimental research in university classrooms to verify its teaching effect.The research adopts the methodology combining the design research method and quasi-experiment method,and develops an interactive visualization platform based on knowledge graphs,which supports the dynamic demonstration of protocol flow,layer-by-layer analysis of packet structure,interactive exploration of network topology,and other functions.The experimental results show that the visual teaching group is significantly better than the traditional teaching group in the dimensions of agreement process understanding and cross-layer concept association,especially for learners with weak spatial ability.This study provides a reusable theoretical framework and practical paradigm for the knowledge visualization teaching of computer courses.展开更多
Aiming at the problems of complex content and abstract concept of the Computer Network course,and difficulty for students to establish overall cognition,this paper proposes a teaching framework that integrates knowled...Aiming at the problems of complex content and abstract concept of the Computer Network course,and difficulty for students to establish overall cognition,this paper proposes a teaching framework that integrates knowledge graph and visualization technology.Firstly,through ontology modeling and multi-source data extraction,a course knowledge graph covering 180 core concepts and multi-level semantic relationships was constructed.Secondly,hierarchical,interactive,and thermal views were developed to dynamically present the knowledge structure,protocol process,and learning data.Finally,the visual graph was embedded into the flipped classroom and experimental links to realize personalized learning path recommendations and real-time mastery feedback.Teaching practice shows that the framework significantly improves students’overall cognitive level and learning motivation,and provides a reproducible and generalizable method framework and practical evidence for the smart teaching of computer courses.展开更多
陆地碳汇是碳循环的重要组成部分,在全球气候变化背景下其重要性日益凸显,相关研究受到了国内外学术界的广泛关注。采用文献计量方法,以1994—2024年间Web of Science核心合集SCI-E数据库以及CNKI数据库中所收录的共计8431篇相关文献为...陆地碳汇是碳循环的重要组成部分,在全球气候变化背景下其重要性日益凸显,相关研究受到了国内外学术界的广泛关注。采用文献计量方法,以1994—2024年间Web of Science核心合集SCI-E数据库以及CNKI数据库中所收录的共计8431篇相关文献为研究对象,运用CiteSpace软件绘制国内外文献共被引、作者共作以及关键词时间线等可视化图谱,分析了论文时间、学科、期刊以及来源国家的分布情况,给出了高影响机构、高产作者以及重要研究文献,并基于Burst检测探究了不同阶段关键词演化发展过程及未来趋势。结果表明:①近30 a来陆地碳汇发文量显著增长,2008年以后年均增幅12%,2019年以后年均增幅高达15%。②发文量较多的国家依次是中国、美国、德国、英国、加拿大等;高影响的研究机构主要有中国科学院、中国科学院大学、法国国家科学研究中心、美国农业部、巴黎-萨克雷大学等。③关键词演化过程主要分为3个阶段:1994—2008年侧重于碳循环基础理论研究,关键热词是碳循环、碳平衡和涡度相关等;2008—2019年研究热点从地球生态系统逐渐扩展到社会经济等方面,关键热词是净初级生产量、碳交换、生态补偿和低碳经济等;2019年至今紧密围绕全球碳减排目标与生态系统价值实现,关键热词是以碳中和、碳排放、温度敏感性、生态产品核算和碳交易;未来发展方向是碳汇监测核算、减排增汇提升方法、碳交易市场机制、深化国际合作等。研究成果可为厘清全球陆地碳汇发展脉络和研究热点、预测未来发展方向,以及促进我国双碳目标实现提供基础资料和政策建议。展开更多
基金supported by the Quality Engineering Project of Guangdong University of Science and Technology(GKZLGC2025025,GKZLGC2025028,and GKZLGC2025043).
摘要As the core basic course of computer science,the computer network course has long been faced with teaching dilemmas such as many and fragmented knowledge points,abstract and difficult to understand protocol levels,and a disconnection between theory and practice.Aiming at these problems,this study constructs a knowledge framework ontology covering all levels of TCP/IP protocol stack,designs a hierarchical and multidimensional visual teaching system,and carries out quasi-experimental research in university classrooms to verify its teaching effect.The research adopts the methodology combining the design research method and quasi-experiment method,and develops an interactive visualization platform based on knowledge graphs,which supports the dynamic demonstration of protocol flow,layer-by-layer analysis of packet structure,interactive exploration of network topology,and other functions.The experimental results show that the visual teaching group is significantly better than the traditional teaching group in the dimensions of agreement process understanding and cross-layer concept association,especially for learners with weak spatial ability.This study provides a reusable theoretical framework and practical paradigm for the knowledge visualization teaching of computer courses.
基金supported by the Quality Engineering Project of Guangdong University of Science and Technology(GKZLGC2025025,GKZLGC2025028,and GKZLGC2025043).
摘要Aiming at the problems of complex content and abstract concept of the Computer Network course,and difficulty for students to establish overall cognition,this paper proposes a teaching framework that integrates knowledge graph and visualization technology.Firstly,through ontology modeling and multi-source data extraction,a course knowledge graph covering 180 core concepts and multi-level semantic relationships was constructed.Secondly,hierarchical,interactive,and thermal views were developed to dynamically present the knowledge structure,protocol process,and learning data.Finally,the visual graph was embedded into the flipped classroom and experimental links to realize personalized learning path recommendations and real-time mastery feedback.Teaching practice shows that the framework significantly improves students’overall cognitive level and learning motivation,and provides a reproducible and generalizable method framework and practical evidence for the smart teaching of computer courses.
摘要陆地碳汇是碳循环的重要组成部分,在全球气候变化背景下其重要性日益凸显,相关研究受到了国内外学术界的广泛关注。采用文献计量方法,以1994—2024年间Web of Science核心合集SCI-E数据库以及CNKI数据库中所收录的共计8431篇相关文献为研究对象,运用CiteSpace软件绘制国内外文献共被引、作者共作以及关键词时间线等可视化图谱,分析了论文时间、学科、期刊以及来源国家的分布情况,给出了高影响机构、高产作者以及重要研究文献,并基于Burst检测探究了不同阶段关键词演化发展过程及未来趋势。结果表明:①近30 a来陆地碳汇发文量显著增长,2008年以后年均增幅12%,2019年以后年均增幅高达15%。②发文量较多的国家依次是中国、美国、德国、英国、加拿大等;高影响的研究机构主要有中国科学院、中国科学院大学、法国国家科学研究中心、美国农业部、巴黎-萨克雷大学等。③关键词演化过程主要分为3个阶段:1994—2008年侧重于碳循环基础理论研究,关键热词是碳循环、碳平衡和涡度相关等;2008—2019年研究热点从地球生态系统逐渐扩展到社会经济等方面,关键热词是净初级生产量、碳交换、生态补偿和低碳经济等;2019年至今紧密围绕全球碳减排目标与生态系统价值实现,关键热词是以碳中和、碳排放、温度敏感性、生态产品核算和碳交易;未来发展方向是碳汇监测核算、减排增汇提升方法、碳交易市场机制、深化国际合作等。研究成果可为厘清全球陆地碳汇发展脉络和研究热点、预测未来发展方向,以及促进我国双碳目标实现提供基础资料和政策建议。