北京邮电大学学报(社会科学版) ›› 2014, Vol. 16 ›› Issue (6): 90-96.

• 教育研究 • 上一篇    下一篇

数字学习资源推荐技术研究现状及趋势分析

  

  1. 北京邮电大学 网络教育学院,北京100876
  • 收稿日期:2014-06-04 出版日期:2014-12-30 发布日期:2023-03-27
  • 基金资助:
    北京市支持中央高校共建项目(YETP0470)

Research Status and Trends on Digital Learning Resource Recommendation Technology

  1. Network Education Institute, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2014-06-04 Online:2014-12-30 Published:2023-03-27

摘要: 海量的数字化学习资源带来的资源过载和资源迷航的问题。首先总结了数字化学习资源推荐的国内外研究现状,以及常用的推荐技术及应用,在分析谷歌搜索推出的知识图谱与图书情报学的区别的基础上,结合知识图谱在教学领域的应用和发展情况,并以网络教育平台为例提出了基于知识图谱的数字化学习资源推荐的流程,对知识图谱推荐的特点进行分析。基于知识图谱的推荐的方法能够构成知识点的体系结构,推荐有效和相关联资源,解决网络学习中知识碎片化和学习导航的问题,并且可视化地呈现和学习资源的推荐对提高学习兴趣有很大帮助。

关键词: 数字化学习资源, 推荐技术, 知识图谱

Abstract: Digital resources are widely accepted by learners for its convenience and fast speed, good sharing quality, innovative forms and other advantages, however, huge numbers of digital learning resources bring the problems of overload and resource confusion and in view of this, digital learning resource recommendation technology solves the problem very well The research status of digital learning resource recommendation, and the commonly used recommendation technology and application are summarized Based on the analysis of the differences between the Google knowledge map and library and information science, combining the development of knowledge map in the field of teaching,the procedure of digital learning resource recommendation based on the knowledge map is proposed by taking network education platform as an example,and the characteristics of the knowledge map are analyzed The recommendation method based on the knowledge map recommendation can constitute knowledge systems, and recommend effective and associated resources,which solves problems of the information fragmentation and resource confusion, and meanwhile the visualized presentation and recommendation of resources can help improve learners’ learning interest

Key words: digital learning resource, recommendation technology, knowledge map

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