Performance Research in E-Learning

被引：0
|
作者：
Wu, Bing [1 ]
Xu, Xin [2 ]
机构：
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[2] Shanghai Univ Finance & Econ, Informat Management & Engn Coll, Shanghai, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE 2014) | 2014年
关键词：
Performance; E-Learning; Source title; Research area; MOTIVATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To analyze evaluation research in E-Learning system, literatures are reviewed from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning this topic. The top three territories on performance research in E-Learning are Taiwan, China and Netherlands. The number of citation literature on this topic indicates the distribution mainly in recently 10 years reaching climax of 35 in 2012 and then followed by 2011. And from the analysis of research area, computer science and educational research account for 37.500% respectively. Accordingly the percentage of source title as computers education and educational technology society ranks in the top two. Moreover the relating research can be classified into E-Learning environment research and E-Learning performance improvement methods research.
引用
收藏
页码：536 / 540
页数：5
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