Research on the big data system of massive open online course

被引：0
|
作者：
Du, Zhenwei [1 ]
Chen, Haopeng [1 ]
Jiang, Jianwei [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Software Engn, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, MOOCs Inst, Shanghai, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2016年
关键词：
MOOC; big data; Data Mining; Data System;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With no limit on time and location [1], the number of users attracted by massive open online course (MOOC) has increased rapidly, and many platforms have been built to provide a variety of courses. All of these trigger an explosive growth in data volume. As we known, people have met big data in many areas and proposed many techniques and methods to deal with them. However, people still have no sense of the data system in MOOC. How to dig out valuable information from its big data to benefit all stockholders is an instant challenge. This paper has an insight into the data system in MOOC and proposes Data Ming goals and methods. At last, the paper will introduce the computing platform and CNMOOC as a case study.
引用
收藏
页码：1931 / 1936
页数：6
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