摘要
慕课网站作为重要的在线学习平台,存放大量知识服务资源,也是知识服务落地的重要场景,属于知识服务体系的一部分。研究当前慕课用户的群体结构与特征既有利于提高平台服务质量,也有助于丰富知识服务渠道,从而更好地满足知识服务用户多样化的需求。聚焦慕课场景的知识服务,从用户视角出发,以中国大学MOOC平台的用户为样本,应用K-means++聚类算法进行用户群体画像与分析,把慕课用户划分为沉默型用户、积极型用户、需求型用户、潜力型用户4种类型。基于画像结果,提出开展慕课场景知识服务的优化策略,以期提升慕课服务的用户满意度,完善相应的智慧知识服务体系建设。
As an important kind of online learning platform,MOOC website stores a large number of knowledge service resources,which is also an important scene for the implementation of knowledge services and a part of the knowledge service system.Studying the group structure and characteristics of current MOOC users is not only conducive to improving the quality of platform service,but also to enriching the knowledge service channels,so as to better meet the diversified needs of knowledge service users.This paper focuses on the knowledge service of MOOC.From the perspective of users,this paper takes users of Chinese University MOOC platform as samples,applies K-means++clustering algorithm to conduct user group portrait and analysis,and finally divides MOOC users into four types:silent users,active users,demand-oriented users,and potential users.Based on the portrait results,this paper proposes the optimization strategies of knowledge service based on the MOOC scene,in order to improve the user satisfaction of MOOC and improve the coresponding construction of intelligent knowledge service system.
作者
刁雪桦
朱学芳
DIAO XueHua;ZHU XueFang(School of Information Management,Nanjing University,Nanjing 210023,P.R.China;Jiangsu Key Laboratory of Data Engineering and Knowledge Service,Nanjing University,Nanjing 210023,P.R.China)
出处
《数字图书馆论坛》
2023年第12期11-20,共10页
Digital Library Forum
基金
国家社会科学基金项目“5G环境下中国智慧知识服务体系构建研究”(编号:22BTQ017)资助。
关键词
用户画像
慕课
知识服务
聚类
User Portrait
MOOC
Knowledge Service
Clustering
