Visualized knowledge-mapping study in the subjects in pediatric clinical education based on multiple statistical and social network analysis
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Visualized knowledge-mapping study in the subjects in pediatric clinical education based on multiple statistical and social network analysis
Vol. 13, Issue 4, Pages: 341-348(2014)
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Published:2014,
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Visualized knowledge-mapping study in the subjects in pediatric clinical education based on multiple statistical and social network analysis. [J]. 13(4):341-348(2014)
DOI:
Visualized knowledge-mapping study in the subjects in pediatric clinical education based on multiple statistical and social network analysis. [J]. 13(4):341-348(2014)DOI:
Visualized knowledge-mapping study in the subjects in pediatric clinical education based on multiple statistical and social network analysis
目的 通过多元统计和社会网络分析法中关键词共现的方式,建立我国儿科临床教学主题可视化图谱,研究该领域知识主题分布及学科知识聚类,预测并指导未来发展趋势。方法 于2013年3月以主题词“(儿科学 or 小儿 or 儿童 or 儿科) and (临床见习 or 临床教学 or 临床带教 or 床旁见习 or 床旁教学 or 床旁带教)”在CNKI数据库中检索文献。使用Bicomb提取关键词,建立词篇矩阵与共词矩阵。之后使用SPSS 20.0对共现矩阵进行系统聚类分析,并根据聚类分析结果绘制战略坐标图。最后使用Ucinet 6.0绘制可视化网络。结果 共命中文献679篇,核心关键词共66个,最低词频为5。经过多元统计和社会网络分析,成功建立我国儿科临床教学研究知识可视化图谱,直观展示我国儿科临床教学研究知识主题分布,并形成重点研究聚类。研究结果显示,临床教学参与人员和临床教学内容与方法是现阶段我国儿科学临床教学研究的重点内容;随着新技术及新教学模式的引入,临床教学的改革与探索也在快速发展之中;同时护理教学已单独形成聚类,但研究有待深入。结论 我国儿科临床教学以参与模式及教学内容为主要研究主题,相关教学改革方式研究正在深入,需要平衡发展护理教学
Abstract
Objective To study the subject domain knowledge of clinical education of pedi-atrics in our country with multivariate statistical analysis and social network study, research on the domain subject distribution and knowledge cluster, and then built visualized knowledge-mapping, so as to predict and guide the developmental trend in this field. Methods We searched the CNKI with MESH keywords “(pediatrics OR children OR infants) AND clinical education OR bedside education OR interview of clinics” in March, 2013. 679 articles were enrolled in and then imported into Bicomb. After core keywords had been identified by Bicomb, a word text matrix and co-occurrence matrix of words to articles were built. Systemic clustering of the co-occurrence matrix was finished by SPSS 20.0, leading the strategic plot to be built. Then draw visualized network in Ucinet 6.0. Results Totally 679 articles about pediatrics education were included. The number of core keywords was 66, and the lowest frequency of core keywords was 5. With multivariate statistical analysis and social network study, the visualized domain knowledge-mapping was successfully built, and it directly reflected the structure of subject knowledge-mapping of pediatric clinical education in our country, and then key clusters were formed, in which the clusters of “participation model of clinical education” and “applications of clinical education” had been well developed, and had been the dominant subject in pediatric clinical education. Whereas the unbalanced developed cluster of “Exploration in reformation of clinical edu-cation” was now in rapid development with the introduction of new technology and innovative teaching model. At the same time, the “nursing clinical education” cluster has been separate cluster, but needed further and enhanced research. Conclusion The well developed subjects of “participation model of clinical education” “applications of clinical education” stood in the center of the subject do-main knowledge-mapping, and with several clusters following. And the study of reformation of clinical education makes a great contribution to the progress of the subject. The nursing teaching needed bal-anced development.
关键词
多元统计 社会网络分析 儿科学 教学主题 可视化研究
Keywords
Multivariate statistical analysis Social network study Pediatric Educational subjects Visualized knowledge-mapping study