Analysis of Hot Topics in Chinese Educational Technology Based on Co-word Clustering: Taking Recent 5-Years Papers Published in Chinese Journals for Example

Author

Min Hu ; Qingtang Liu ; Hao Li

Author_Institution

Nat. Eng. Res. Center for E-Learning, Central China Normal Univ., Wuhan, China

fYear

2013

fDate

15-18 July 2013

Firstpage

112

Lastpage

114

Abstract

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 activities, network education, distance education, educational informationalization.

Keywords

educational technology; natural language processing; pattern clustering; statistical analysis; text analysis; Chinese educational technology; Chinese journals; SATI tools; SPSS; co-word clustering analysis; co-word matrix; distance education; educational informationalization; high-frequency keywords; network education; statistical analysis software; student-centered learning activities; Educational institutions; Electronic learning; Market research; Statistical analysis; Sun; cluster analysis; co-word analysis; educational technology; factor analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/ICALT.2013.37

Filename

6601880