江汉大学学报（自然科学版）Issue(4)：367-370,4.DOI:10.16389/j.cnki.cn42-1737/n.2015.03.015
数据挖掘技术在MOOC中的应用研究
Application of Data Mining Technology in MOOC
刘钟情1
作者信息
- 1. 成都体育学院 信息技术中心计算机教研室，四川 成都 610041
- 折叠
摘要
Abstract
MOOC is aiming to support web-based massive open interactive online course. It is self-study , easy to be used ,easy registration ,abundant resource of study. So it attracts a lot of learners who have different study aim ,different education background and different study characteristic all over the world. Only when MOOC meets learners individual requirements and study aim , it can obtain sustainable development and maximize its existence value. A lot of useful information can be obtained and to provide decision-making support with the technology of data mining. Data mining technology is used in MOOC to find the learners study behavior characteristic to support better education resource and teaching strategy , and then the existence value of MOOC is maximized.关键词
数据挖掘/MOOC/学习行为/辅助决策/监控预警Key words
data mining/MOOC/study behavior/assistant decision-making/monitor early-warning分类
信息技术与安全科学引用本文复制引用
刘钟情..数据挖掘技术在MOOC中的应用研究[J].江汉大学学报（自然科学版）,2015,(4):367-370,4.
