數據時代下教育領域科研人才培育芻議

How to Cultivate Educational Researchers in the Data Era? Some Humble Opinions

進入數據時代，數據取得的便利性以及多樣性徹底改變了社會科學研究的執行方式。龐大的縱貫性行政數據量讓傳統上囿於實驗設計而難以執行的因果推論，有了藉準實驗設計實現的可能。不僅如此，龐大的數據量促使社會科學與資訊科學結合，進而催生了計算社會科學此一新興領域，並將社會科學的研究帶入貼近人類生活的境界。然而，無論是傳統社會科學中逐漸形成主流的準實驗設計或是新興的計算社會科學，在其他非教育領域開始積極融入數據科學規劃新的人才培育模式之際，我國在教育領域的科研人才培育中卻鮮少見到有具體的行動。據此，本文首先介紹教育研究方法中現存的問題，接著說明進入數據時代這些既有的問題如何能被有效地解決，最後就國內教育研究領域的人才培育提供具體的建議。

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 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.