Knowledge Mapping: a New Technique of Visualization Research on Educational Literature
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摘要: 如何对数字时代产生的海量信息进行客观、高效和科学的整理,产生出新的知识为教育研究者所用,已经成为当前教育研究者必备的素养。本文旨在促进教育研究者通过使用计算机,将抽象数据信息转化为可视化信息,增强他们快速识别抽象信息的认知过程。论文对知识图谱进行教育文献内容可视化的原理、绘制流程及注意事项进行了较为详细的介绍和实例说明。结果发现,作为教育文献内容可视化的知识图谱属于较新的科学计量分析方法,它能够通过图像直观展现出教育研究最前沿领域和学科知识的信息会聚点,从宏观、中观、微观等不同层面来揭示教育研究发展的概貌,便于研究者全面审视教育研究领域的结构和研究热点、重点等信息。结果表明,知识图谱通过信息可视化对教育文献内容进行定量研究和定性研究的结合,极大提升了教育文献内容研究的质量,为海量教育文献内容的深度解读提供了可行性的技术支持。Abstract: In an era of knowledge explosion and global digitization, educational literature is presented in a massive way. At the same time, its content and themes are changing rapidly. Using the traditional methods of educational literature processing, it's hard to study such massive and varied educational literature objectively and capture the characteristics of its development. Therefore, it's essential for today's educational researchers to know how to handle such massive information objectively, effectively and scientifically generated by the digital age and generate new knowledge that can be shared by others. This study aims to help educational researchers to translate abstract information into visual information through computers and improve their ability of identifying abstract information. It not only offers a detailed introduction of the principles of knowledge mapping, the drawing processes and related considerations, but also gives an example to demonstrate the process of educational literature content visualization. First, master's and doctor's thesis from CNKI database are selected; second, distance education is specified as a search topic. Then, using Bicomb 2.0 and SPSS20 as the tools of knowledge mapping, it extracts high frequency keywords and sets up the co-word matrix of high frequency key words, conducts cluster analysis and multi-dimension analysis of high frequency key words and draws out the knowledge mapping of high frequency key words. Finally, it presents the result graph of literature content visualization and an explanation of the research field distribution. The findings show that, as an educational literature content visualization, knowledge mapping is a relatively new method of scientific analysis. Knowledge mapping helps to reveal the converging point of educational research frontier through visual images as well as the whole picture of educational researches at the macro, meso and micro level. It can help educational researchers to overview the structure and research focus of educational researches in general. Also, through information visualization, knowledge mapping combines quantitative research with qualitative research to study educational literature, thus greatly enhancing the quality of educational literature research and providing effective technical support for an in-depth interpretation of massive educational literature.
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图 1 远程教育研究热点知识图谱(郭文斌,俞树文,2014)
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