摘要
随着教育技术的发展,越来越多的人在学习过程中使用PPT文档.对PPT文档进行概念图的构建,使得学习者能快速且全面地了解一个PPT文档的知识要点,有益于学习者加快学习速度,有益于获取学习者的学习行为.基于此,提出了一种利用Microsoft Office编程技术、文本挖掘技术和社会网络分析技术自动提取PPT文档中的概念术语、概念术语之间的关系及构建概念图的算法.实验结果表明:该算法可以计算概念术语的重要性;算法提取的概念术语具有一定的准确率,提取到的越重要的概念术语的准确率越高.
With the development of educatinal technology, more and more people use PPT documents in their learning process. By constructing a concept map for PPT doc uments, learners can quickly and comprehensively understand all the knowledge points of the PPT documents, being beneficial for the learners to speed up the learning and collect his learning behaviors. In this paper, we proposed an algorithm using Microsoft Office programming technology, text mining technology and social network analysis technology to automatically extract concept terminologies and the relationships between them from the PPT documents to construct concept map. The experimental results show that the psoposed algorithm can effectively calculate the importance of each concept terminology. And all the concept terminologies extracted by the proposed algorithm have a certain accuracy, the more important the concept terminology, the higher the accuracy.
出处
《计算机系统应用》
2015年第9期85-90,共6页
Computer Systems & Applications
基金
国家级大学生创新性实验立项项目(201210595003)
中国高教学会教育信息化专项课题(2014XXH1205YB)
广西区高等教育教学改革工程项目(2014JGZ116)
关键词
PPT文档
概念图
社会网络分析
概念术语
学习行为
PPT document
concept map
social network analysis
concept terminology
learning behavior