數據時代下教育領域科研人才培育芻議

Today, social science research has been changed by the accessibility and diversity of data. Not only does administrative information in the form of panel data give social scientists the opportunity for causal inference through quasi-experimental methods, but the abundance of data also facilitates th...

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Bibliographic Details
Published in:Journal of Education Research (Print) 2021-12, p.100-114
Main Authors: 傅遠智(Yuan-Chih Fu), 袁萱雰(Xuan-Fen Yuan)
Format: Article
Language:Chinese
Subjects:
data era
educational research
talent cultivation
人才培育
教育研究
數據時代
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Summary:Today, social science research has been changed by the accessibility and diversity of data. Not only does administrative information in the form of panel data give social scientists the opportunity for causal inference through quasi-experimental methods, but the abundance of data also facilitates the collaboration between social science and computer science, giving birth to computational sociology and rendering social science closer to daily life. While many research fields have mastered data science to develop new educational programs, there are few actions taken in the field of education to prepare the next generation of researchers for the data era. This article summarizes the methodological weakness in current educational research and lays out possible solutions using new techniques. The article concludes by offering suggestions for the talent cultivation in education research
ISSN:1680-6360