高等教育学科发展背景的自动化计算和图示化描绘——以数据科学为视角  

Automated Calculation and Graphic Description of the Development Background of Higher Education Discipline:A Perspective of Data Science

作　　者：汤建民[1,2] 

机构地区：[1]武汉大学世界一流智库评价研究中心(筹),湖北武汉430072 [2]武汉大学信息管理学院,湖北武汉430072

出　　处：《高教发展与评估》2016年第2期43-48,共6页Higher Education Development and Evaluation

摘　　要：大数据时代的来临,数据科学的兴起,为高等教育学科研究模式的创新提供了新的可能。高等教育学科面临的机遇与挑战是什么,这是每个高等教育研究者共同关注的问题,但在以往,这类研究几乎都是基于模糊、定性的判断。为此,以数据科学为视角,以词频计量、共词分析、知识图谱呈现等为技术手段,以CSSCI论文数据库为数据来源,设计一种通用而高效的自动化计算和图示化呈现的方法重新解答这个问题,实现其研究方法上的创新。The oncoming big data era and rising data science provide new possibilities for the innovation of research model of higher education discipline.The opportunity and challenge confronting the higher education discipline is the common concern for all the researchers in higher education whereas the researches of this kind were mostly based on dim and qualitative judgments in the past.From the perspective of data science,this paper adopts word frequency calculation,co-word analysis and knowledge graph presentation as the main research methods,uses the CSSCI article database as sources,and answers this question through automated calculation and graphic presentation to achieve the innovation of research method.The results of this paper help the researchers in higher education to have a better insight into the opportunity and challenge for higher education discipline.

关 键 词：高等教育学科 文献计量 知识图谱 学科发展背景 数据密集型科学 “化”研究 

分 类 号：G640[文化科学—高等教育学]