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机构地区:[1]湖南工商大学智能工程与智能制造学院,湖南 长沙
出 处:《计算机科学与应用》2023年第3期557-567,共11页Computer Science and Application
摘 要:信号与系统是电子专业类的学生必备的知识基础,目前,一般学生对于学习信号与系统课程都有知识点多、相互逻辑关系紧密、数学基础要求高等困难,这在一定程度上导致学习效率下降,学习效果变差。知识图谱以结构化方式显式地表达知识节点及相互间的语义关系,为梳理知识之间的相互关联性提供了有效途径。鉴于此,本项目拟基于知识图谱设计信号与系统的在线学习系统,利用知识图谱的知识关联性建立信号与系统课程知识库,不但能有效合理地管理各章的学习资料,快捷地梳理各章节相关信息,便于学生对课程进行系统地学习,并对已学知识点掌握情况做到一目了然,能大大提高学习效率。Signal and system is an essential knowledge base for students majoring in electronics. At present, general students have difficulties in learning signal and system courses, such as many knowledge points, close logical relationship with each other, and high requirements for mathematical foundation, which to some extent leads to the decline of learning efficiency and the deterioration of learning effect. Knowledge maps explicitly express knowledge nodes and semantic relationships among them in a structured way, which provides an effective way to sort out the interrelationships among knowledge. In view of this, this project plans to design an online learning system of signal and system based on knowledge map, and establish the knowledge base of signal and system course by using the knowledge relevance of knowledge map, which can not only manage the learning materials of each chapter effectively and reasonably, but also sort out the relevant information of each chapter quickly, which is convenient for students to study the course systematically, and make it clear at a glance what they have learned, thus greatly improving the learning efficiency.
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