数据驱动决策系统：大数据时代美国学校改进的有力工具

Data-Driven Decision Making System: A Powerful Tool for American School Improvement in Big Data Age

大数据时代如何有效地利用数据形成决策的洞察力是当今教育研究领域倍受关注的话题。随着信息技术的发展和对学生学习评价的需求不断增加，美国各学区已逐渐接受了数据驱动决策系统，并将其作为支持学校改进的工具。为了让我国教育工作者全面了解这一新型工具，该研究在明确数据驱动决策的概念及其产生背景的基础上，对数据驱动决策系统的基本要素、实施步骤进行了说明，并以美国纽约教育局为例分析了该系统在实践中的应用和面临的挑战。研究表明，数据驱动决策系统有助于学区和学校领导利用数据制定一个用于持续改进的蓝图。了解这一工具并反思我国的教育现状，对推动我国利用数据提升学校教育质量的研究具有重要意义。

In the age of big data， How to use data effectively to form an insight into decision-making is a more concerned problem in the field of educational research.With the development of technology and the increased demand for assessing student learning， American districts have been gradually accepted DDDM system， and make it as a powerful tool for school improvement.In order to make educators in our country comprehensively understand this new tool， this paper outlines the background of DDDM， the basic elements and steps involved in implementing a DDDM system， and takes NYCDOE as an example to analyze the practical use of a DDDM system and challeges that a DDDM system has faced.Research shows that a DDDM system can help district and school leaders develop a solid blueprint with data for continuous improvement.It will promote the research on elevating educational quality by using data if we understand the tool and reflect on the status of education in our country.