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Analysis of Hot Topics in Chinese Educational Technology Based on Co-word Clustering taking recent 5-years papers published in Chinese journals for example

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成果类型:
期刊论文、会议论文
作者:
Hu, Min*;Liu, Qingtang;Li, Hao
通讯作者:
Hu, Min
作者机构:
[Hu, Min; Li, Hao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
[Liu, Qingtang] Cent China Normal Univ, Dept Informat Technol, Wuhan, Peoples R China.
通讯机构:
[Hu, Min] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
educational technology;co-word analysis;cluster analysis;factor analysis
期刊:
2013 IEEE 13TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2013)
ISSN:
2161-3761
年:
2013
页码:
112-114
会议名称:
13th IEEE Annual International Conference on Advanced Learning Technologies (ICALT)
会议论文集名称:
IEEE International Conference on Advanced Learning Technologies
会议时间:
JUL 15-18, 2013
会议地点:
Beijing Normal Univ, Beijing, PEOPLES R CHINA
会议主办单位:
Beijing Normal Univ
会议赞助商:
IEEE, IEEE Comp Soc, IEEE Tech Comm Learning Technol
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-0-7695-5009-1
基金类别:
Effective Integration and Application Research of Learning Activities and Educational Resources in E-learning [11YJA880065]
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
国家数字化学习工程技术研究中心
摘要:
On the basis of the statistics of keywords from 5750 papers published in professional journals from 2007 to 2011 in educational technology, this paper selected the top 46 high-frequency keywords, generated co-word matrix by using SATI tools, made use of statistical analysis software SPSS for co-word clustering analysis, deeply analyzed the relationships and rules among the selected high-frequency keywords, and then explored hot topics and developing trends in the field of educational technology. After summing up, nine hot topics were finally determined, including student-centered learning acti...

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