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基于知识结构图的个性化学习内容生成算法 被引量：7

A Building Algorithm for Individual Learning Content Based on Structural Knowledge Graph
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摘要 在结构化知识图的基础上,根据不同学生的学习状态,提出了网络学习环境的个性化学习内容生成算法.在课程本体知识结构图的基础上,经过动态评估学习过程而形成基于不同学生的个性化知识结构图,结合其子空间及有向无环图的拓扑排序方法,设计并实现了基于目标知识点的学习路径和个性化学习内容生成算法,以及在线学习环境中个性化学习内容生成机制.经网络学习课程实例验证表明,该算法可以满足学生个性化学习的需求. Individual learning content retrieved from knowledge domain repositories for different learners is necessary in e-leaning environment for independent learning. This paper proposed an algorithm to produce individual learning content based on structural knowledge graph（SKG）.The ontology domain structural graph of course is the foundation.Individual SKG is a result from course＇s SKG during students＇ learning process.A subspace of SKG is come out after learner choosing an object point to learn.The learning knowledge points and the relative learning objects are assembled through the topological sort algorithm and the individual SKG.
作者 林海平 檀晓红 申瑞民
机构地区 温州职业技术学院 上海交通大学计算机科学与工程系
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2010年第3期418-422,共5页 Journal of Shanghai Jiaotong University
基金 国家十一五支撑项目(2007BAH09B05)
关键词 知识结构图 有向无环图 拓扑排序 个性化学习 structural knowledge graph（SKG） directed acyclic graph（DAG） topological sort individual（learning）
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献11

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二级参考文献7

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共引文献16

同被引文献38

引证文献7

二级引证文献57

上海交通大学学报
2010年 第3期

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