基于知识图谱驱动的程序类课程教育技术研究  

Research on Educational Technology of Programming Courses Based on Knowledge Graph Driven

作　　者：朱嘉贤[1] 宋向瑛 ZHU Jiaxian;SONG Xiangying(School of Computer Science and Software/School of Big Data,Zhaoqing University,Zhaoqing 526061;Party School of the Haizhu District Committee of Guangzhou of C.P.C.,Guangzhou 510320)

机构地区：[1]肇庆学院,计算机科学与软件学院,肇庆526061 [2]中国共产党广州市海珠区委党校,广州510320

出　　处：《现代计算机》2021年第20期108-112,共5页Modern Computer

基　　金：广东省教育科学规划项目(No.2019KTSCX199);肇庆市科技专项资金项目(No.2020G1004);肇庆学院校级项目(No.2019012612、zlgc201933)。

摘　　要：新工科教育技术的变革和创新沿着大数据驱动的模式发展,在形成产学研校企协同教育和智能学习的创新教育模式的过程中,本文提出了应用复杂性网络理论和形式化理论研究构建专业课程群(以程序类课程为例)的学科知识图谱架构和技能能力考核点图谱架构。通过研究规范形式化的描述模型,完成具有理论知识图谱管理和精准行为分析的协同教育创新服务平台,解决市场对专业知识与技能能力需求的动态变化,推进高等教育专业教学管理效率和决策水平。The transformation and innovation of emerging engineering education technology develops along a big data-driven model.In the process of forming an innovative education model of industry-university-research,school-enterprise collaborative education and intelligent learning,the complexity network theory and formal theoretical were presented to build a professional curriculum group(taking program courses as an example)with the subject knowledge graph structure and the assessment points of skill and ability graph structure.By using the standardized formal description models,a collaborative education innovation service platform with theoretical knowledge graph management and precise behavior analysis has been developed to solve the dynamic changes in the market's demand for professional knowledge and skills,and to promote the efficiency and decision-making level of higher education professional teaching management.

关 键 词：知识图谱 形式化 协同教育 教学管理 

分 类 号：TP311.1-4[自动化与计算机技术—计算机软件与理论] G642[自动化与计算机技术—计算机科学与技术]