摘要
互联网时代,远程学习者个体差异尤为突出。为实现个性化教学目标,远程教育广泛应用智能化信息处理技术—数据挖掘来促进自身快速发展。该研究以CNKI数据库为样本来源,借助CitespaceⅡ信息可视化分析软件,对我国远程教育领域中应用数据挖掘技术的相关研究进行基于科学知识图谱的可视化分析,通过高被引作者分析,揭示核心研究力量;通过关键词出现频次,确定研究热点;借助主题词凸显趋势,展现研究前沿。以期为数据挖掘有效促进远程教育的研究提供参考。
In the age of the Internet , differences among distance learners are more outstanding .In order to achieve individualized teaching goal , data mining can help the rapid development of distance education because of its intelligent information processing technology .This study makes visualization analysis of research on data mining technology application in distance education based on scientific knowledge map by taking data from CNKI and using Citespace II , an information visualization software .It reveals the core research force by analyzing the frequently-cited authors , determines research hot spots by analyzing the frequency of key words , and reveals leading edges of research by analyzing trend of subject words.We hope to provide reference for research on how to effectively promotes distance education with data mining .
出处
《中国医学教育技术》
2013年第5期512-516,共5页
China Medical Education Technology
基金
2012年度教育部人文社会科学研究青年基金项目"普通高校教师远程教学能力模型构建与开发--以陕西省四所远程教育试点高校为例"(12YJC880168)