摘要
针对互联网快速发展下在线学习社区存在的师生互动实时性差、没有有效的激励机制、评价体系不完善等问题,分析了在线学习社区各类问题产生的根源,提出了课程推荐优化、个性化资源库构建、在线问答系统构建等优化方案。
Aiming at the problems of poor real-time interaction between teachers and students in the online learning community under the rapid development of the Internet,lack of effective incentive mechanism and imperfect evaluation system,we ana- lyzes the root causes of various problems in the online learning community. We propose optimization schemes such as course recommendation optimization,personalized resource pool construction,and online question and answer system construction.
作者
刘丹
LIU Dan(School of Cyber Science and Engineering,Wuhan University,Wuhan Hubei 430079,China)
出处
《湖北开放职业学院学报》
2019年第8期158-159,168,共3页
Journal of Hubei Open Vocational College
关键词
学习社区
MOOC
教育大数据
learning community
massive open online course
educational big data
