一种面向学习路径推荐的知识网络构建方法

A knowledge network construction method for learning path recommendation

随着在线教育的迅速发展,互联网上的教学资源数量也呈现出快速增长的趋势。针对当前在线学习平台普遍存在着教学资源内容重复、人们难以辨别与选择,导致学习者很难应用这些资源构建适合自己的学习路径的问题,提出一种面向学习路径推荐的领域知识网络构建方法。通过对每个学习对象的预备知识与目标知识进行社会标注,构建相应的领域知识网络,然后,运用弗洛伊德算法计算领域知识网络里任意两个知识点间的最短路径,为学习路径推荐提供基础。

With the rapid development of online education,the number of teaching resources on the Internet has also shown a rapid growth trend.However,the current online learning platform has many problems such as duplication of teaching resources and people＇s difficulty in distinguishing and selecting them.As a result,it is difficult for learners to choose suitable resources to construct their own learning paths.The paper proposes a knowledge network construction method for learning path recommendation.Firstly,a corresponding domain knowledge network is constructed through social annotation of each learning object＇s pre-knowledge and post-knowledge.Secondly,the Floyd-Warshall algorithm is used to calculate the shortest path between any two knowledge points in the domain knowledge network,so as to provide a basis for the learning path recommendation.