DOI:10.19850/j.cnki.2096-4706.2022.21.041

基金项目：江西省教育科学“十四五”规划2021 年度课题“知识图谱视域下基于 MOOC 平台数据的学习路径推荐研究”（21YB132）

中图分类号：TP39；G434                                  文献标识码：A                                 文章编号：2096-4706（2022）21-0169-04

Research on Learning Path Recommendation Based on MOOC Platform Data in the View of Knowledge Graph

CHENG Shanying

(School of Math and Computer Science, Jiangxi Science and Technology Normal University, Nanchang 330019, China)

Abstract: With the rapid development of information technology, more and more learners use the network to learn independently. Network learning resources are rich, and learning is not limited by time and space, but there are many drawbacks in network learning, such as information maze, low efficiency, and so on. Based on the historical data of learners on the MOOC platform, this paper extracts key information, combines the knowledge map of software engineering courses, combines the historical data of learners with the knowledge map, applies the quantitative algorithm of course recommendation and the data path recommendation algorithm, scientifically and effectively plans the learning path for learners, provides appropriate guidance for learners, and makes them go out of the learning maze. The experimental results show that the learning path recommendation method constructed in this paper is applicable and feasible, and has certain application and promotion value.

Keywords: knowledge graph; data on MOOC platform; learning path

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作者简介：程山英（1979.01—），女，汉族，江西余干人，讲师，硕士研究生，研究方向：计算机教育、信息安全和智能交通。