基于领域本体的学习路径推荐策略研究  

Research on Learning Path Recommendation Strategy Based on Domain Ontology

作　　者：严晓梅[1] 李小青[1] 周博[1] YAN Xiao-mei;LI Xiao-qing;ZHOU Bo(Information and Navigation College,Air Force Engineering University,Xi’an 710077,China)

机构地区：[1]空军工程大学信息与导航学院

出　　处：《软件导刊》2019年第9期167-172,共6页Software Guide

基　　金：国家自然科学基金项目(71503260)

摘　　要：为了解决学生在线学习过程中的“认知过载”和“学习迷航”等问题,充分发挥网络课程资源的教学辅助作用,以《决策支持系统》课程为例,提出一种基于领域本体和语义相似度的个性化学习路径推荐策略。根据领域知识点及其关系构建本体库,建立知识点间语义关系,并用Protégé进行本体形式化编码;基于本体设计学习路径生成策略和相关知识协同策略;最后,结合《决策支持系统》课程现有网络资源设计并开发原型系统,实现个性化学习引导及资源空间优化。实验表明,该平台能够实现在线学习路径的有效引导,为学生提供个性化学习空间,优化在线学习效果。This paper introduces a recommendation strategy of personalized learning path based on domain ontology and semantic similarity taking the course of decision support system as an example, in order to solve the problems of information overload and learning disoriented in the online learning process and improve the assistant function of online resources. Firstly, according to the domain knowledge and their relations, the ontology database is found to construct the relationship of knowledge points at the semantic level. In addition, the ontology is formally encoded using the Protégé. Then, it designs the learning path generation strategy and the related knowledge cooperation strategy. After that the prototype system is designed and developed based on the existing resources of the decision support system online course. The experiment results show that the personalized learning guidance and resource space is optimized.

关 键 词：学习路径推荐 领域本体 语义相似度 原型系统 个性化学习引导 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]