基于知识图谱的高校跨课程知识推送工具设计  

Design of an Interdisciplinary Knowledge Recommendation Tool for Universities Based on Knowledge Graph

作　　者：卢淑怡 李美子[1] 许多 张波[1,2,3] LU Shu-yi;LI Mei-zi;XU Duo;ZHANG Bo(College of Information,Mechanical and Electrical Engineering,Shanghai Normal University;Institute of Artificial Intelligence on Education,Shanghai Normal University;Shanghai Engineering Research Center of Intelligent Education and Bigdata,Shanghai 200234,China)

机构地区：[1]上海师范大学信息与机电工程学院 [2]上海师范大学人工智能教育研究院 [3]上海智能教育大数据工程技术研究中心,上海200234

出　　处：《软件导刊》2023年第1期6-11,共6页Software Guide

基　　金：教育部第一批新工科研究与实践项目(2018);教育部第二批新工科研究与实践项目(E-RGZN20201020)。

摘　　要：跨学科知识点的关联学习一直都是高校教育的重难点,利用知识图谱知识结构关联进行推送是有效的解决途径之一。首先,对高校教育学科[S1]知识图谱(ECKG)进行形式化定义;然后,提出基于ECKG结构特征的跨学科知识推送技术;最后,分析高校学科教育图谱知识点检索的应用,对知识点查询、知识关联查询及个性化学习资源推荐技术进行说明。实践表明,所提知识推送工具在知识点定位查询方面具有不错的效果,能较好完成知识点个性化智能推送任务,可为高校跨课程知识推送提供参考与借鉴。Relevance learning of interdisciplinary knowledge points has always been a key and difficult point in college education.Using knowledge map to push knowledge structure is one of the effective solutions.First,formalize the definition of the knowledge atlas(ECKG)of college education discipline[S1];Then,the interdisciplinary knowledge push technology based on the ECKG structure features is proposed;Finally,it analyzes the application of knowledge point retrieval in the discipline education map of colleges and universities,and explains the knowledge point query,knowledge association query and personalized learning resource recommendation technology.The practice shows that the proposed knowledge push tool has a good effect in knowledge point location query,can better complete the personalized intelligent push task of knowledge points,and can provide reference and reference for cross course knowledge push in colleges and universities.

关 键 词：高校教育 知识图谱 人工智能教育 知识推送 

分 类 号：G434[文化科学—教育学]