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.
出处
《高教发展与评估》
CSSCI
北大核心
2016年第2期43-48,共6页
Higher Education Development and Evaluation
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
higher education disciplines
literature metrology
knowledge mapping
disciplinary development background
data-intensive science
research on the character of 'Hua'
作者简介
汤建民（1967-），男，浙江东阳人，教授，博士研究生，研究方向为科学计量学与高等教育学。
