Co-words analysis-based hotspots in domestic MOOC studies
10.3969/j.issn.1671-3982.2015.06.001
- VernacularTitle:基于共词分析的我国慕课研究热点
- Author:
Xiaoli HUANG
;
Liting SU
;
Shumin LI
- Publication Type:Journal Article
- Keywords:
MOOC;
Co-words analysis;
Multidimensional scaling analysis
- From:Chinese Journal of Medical Library and Information Science
2015;(6):1-3
- CountryChina
- Language:Chinese
-
Abstract:
High frequency key words in papers on MOOC were retrieved from CNKI and Wanfang Data Knowledge Service Platform.A co-words matrix was constructed , which was then transformed into correlation matrix and dis-similarity matrix, respectively.The correlation matrix was analyzed by multidimensional scaling analysis to show the hotspots in domestic MOOC studies on teaching reform, open education, information technology, resource develop-ment, library service innovation and its development trends.
