大数据时代比较教育研究范式的转型  

The Transformation of Comparative Education Research Paradigm in the Age of Big Data

作　　者：刘宝存[1] 杨尊伟[1,2] 

机构地区：[1]北京师范大学国际与比较教育研究院,北京100875 [2]曲阜师范大学教育科学学院,山东曲阜273165

出　　处：《比较教育研究》2015年第10期1-5,18,共6页International and Comparative Education

摘　　要：大数据改变了人们的生活、工作和思维方式,将引发科学研究范式的转变。在大数据时代,科学研究具有全样本性、注重效率、注重因果和相关的复杂性等特征。传统的比较教育研究范式面临着前所未有的挑战,比较教育研究范式的转型势在必行。中国比较教育研究不仅要深度挖掘现有的教育数据资源,运用多种研究方法收集数据资料,确立清晰的理论基础和分析框架,而且要重视理论创新和对知识的原创性贡献。Big data has changed people＇ s ways of life, work and thinking, and it will trigger a transformation of scientific research paradigm. In the age of big data, scientific research emphasize samples in investigation, pays more attention to the efficiency of research rather than accuracy, attaches great importance to the complexity of the causality and correlation. The traditional comparative education research paradigms are facing new challenges, and it is imperative to transform the research paradigms of comparative education. Comparative education research should not only strengthen the depth mining of the existing public education data, realize the diversification of re- search methods, use different theoretical frameworks to clearly describe and analysis in-depth the data, but also push forward the frontiers of knowledge to make original contributions to education sciences.

关 键 词：比较教育 研究范式 大数据 转型路径 

分 类 号：G40-059.3[文化科学—教育学原理]