融合认知理论的学科专业课程知识图谱模型  

A Knowledge Graph Model of Subject Specialty Curriculum Based on Cognitive Theory

作　　者：王卫红 刘佳瑞 尚兰兰 WANG Wei-hong;LIU Jia-rui;SHANG Lan-lan(Hebei University of Economics and Business,Shijiazhuang Hebei 050061,China)

机构地区：[1]河北经贸大学,河北石家庄050061

出　　处：《计算机仿真》2024年第8期242-247,共6页Computer Simulation

基　　金：河北省社会科学基金(HB23JY004)。

摘　　要：针对智慧学习中学科专业课程知识图谱未结合认知理论、课程与知识点覆盖不全面、知识关联展示不明确等问题,提出一种学科专业课程知识图谱(SSCKG)的构建方法。首先,针对不同的学科专业选取不同的数据源,并在此基础上以人工筛选方式确定数据域与信息抽取范围,利用斯坦福七步法结合奥苏贝尔认知理论及学科专业特色,形成SSCKG模式层;进而,依据上述认知理论引入课程、知识单元、知识点等权重系数并完成自建语料库,扩充SSCKG的课程容量,填充数据层;随后,依据上述认知理论引入知识之间的强关联、弱关联概念并设置关联权重,进一步区分知识之间的联系,形成知识关联层,为后续个性化推荐与智能考试提供支持;最终,形成SSCKG的构建方法。为验证上述方法的有效性,以河北经贸大学软件工程专业为例,构建了软件工程专业课程知识图谱(SEKG)。实践表明,所提方法有效结合了奥苏贝尔认知理论并解决了课程与知识点覆盖不全面、知识关联展示不明确等问题,同时利用该知识图谱可以搭建智能问答系统、个性化推荐系统以及智能考试系统为智慧学习提供支撑。A method for constructing a subject specific curriculum knowledge graph(SSCKG)is proposed to address issues such as the lack of integration of cognitive theory,incomplete coverage of courses and knowledge points,and unclear display of knowledge correlations in smart learning.Firstly,different data sources are selected for different disciplines and specialties,and on this basis,the data domain and information extraction range are determined by manual screening.The SSCKG pattern layer is formed by using the Stanford Seven-step method combined with Ausubel's cognitive theory and specialty characteristics.Furthermore,according to the above cognitive theory,weight coefficients such as courses,knowledge units and knowledge points are introduced and self-built corpora are completed to expand the curriculum capacity of SSCKG and fill the data layer.Then,according to the above cognitive theory,the concepts of strong correlation and weak correlation between knowledge are introduced and the weight of correlation is set to further distinguish the connections between knowledge and form the knowledge correlation layer to provide support for subsequent personalized recommendation and intelligent examination.Finally,the construction method of SSCKG is formed.In order to verify the effectiveness of this method,the curriculum knowledge graph(SEKG)of software engineering major in Hebei University of Economics and Business was constructed.The practice shows that the method effectively combines Ausubel's cognitive theory and solves the problems such as incomplete coverage of courses and knowledge points and unclear knowledge demonstration.Meanwhile,the knowledge graph can be used to build intelligent question answering system,personalized recommendation system and intlligent examination system to provide support for intelligent learning.

关 键 词：知识图谱 智慧学习 认知理论 学科专业课程 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]