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基于共词分析的我国慕课研究热点
引用本文:黄晓鹂,苏丽亭,李树民.基于共词分析的我国慕课研究热点[J].中华医学图书情报杂志,2015,24(6):1-3.
作者姓名:黄晓鹂  苏丽亭  李树民
作者单位:河北联合大学医学信息检索教研室,河北 唐山 063000,河北联合大学医学信息检索教研室,河北 唐山 063000,河北联合大学医学信息检索教研室,河北 唐山 063000
摘    要:利用中国学术文献网络出版总库及万方数据知识服务平台,选取有关慕课研究文献的高频关键词,两两组配并统计其在同一篇文献中的共现次数,构造共词矩阵,进而转化为相关矩阵、相异矩阵,对相异矩阵进行多维尺度分析,探讨我国慕课在教学改革、开放教育、信息技术发展、资源建设、图书馆服务创新等方面的研究热点及慕课的发展趋势。

关 键 词:慕课  MOOC  共词分析  多维尺度分析
收稿时间:2015/1/23 0:00:00

Co-words analysis-based hotspots in domestic MOOC studies
HUANG Xiao-li,SU Li-ting and LI Shu-min.Co-words analysis-based hotspots in domestic MOOC studies[J].Chinese Journal of Medical Library and Information Science,2015,24(6):1-3.
Authors:HUANG Xiao-li  SU Li-ting and LI Shu-min
Institution:Teaching and Research Section of Medical Information Retrieval, Hebei Union University, Tangshan 063000, Hebei Province, China,Teaching and Research Section of Medical Information Retrieval, Hebei Union University, Tangshan 063000, Hebei Province, China and Teaching and Research Section of Medical Information Retrieval, Hebei Union University, Tangshan 063000, Hebei Province, China
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 dissimilarity 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 development,library service innovation and its development trends.
Keywords:MOOC  Co-words analysis  Multidimensional scaling analysis
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