【作 者】：
刘 晋， 张学波， 林书兵
【关 键 词 】：
数据驱动的教学决策； 效果评估； 伞型评价
【栏 目】：
课程与教学
【中文摘要】：
数据驱动的教学决策应用作为当前基础教育实践的新趋势，仍然存在着证据不足、效果不明和路径不清等问题，即教学数据干预的作用范畴涉及哪些方面，数据使用具体给学校带来哪些实际成效，如何评价其实际效果，掣肘数据使用的主要因素有哪些，学校具体如何构建教育数据使用的实践机制，这一系列问题反映着教育数据应用的主要困惑，也预示着数据驱动教学决策的深入探究方向。鉴于相关专题元分析数量不断增长但存在角度和范围的局限，本研究采用伞型评价的方式，提取十项基于元分析的研究，从作用范畴、周期、措施和路径等角度对数据驱动的教学应用干预效果进行了系统性再回顾，并提出了数据驱动的主要影响因素、决策方法、评估机制和长远目标等关键议题，以期为后续相关研究提供全面分析结论和未来突破方向。
【英文摘要】：
The application of data-driven instructional decision-making, as a new trend in current basic education practice, still has some problems, such as insufficient evidence, unclear effects, and unclear paths. In other words, what is the scope of instructional data interventions, what are the actual effects of data use in schools, how do schools evaluate the actual effects, what are the main factors that constrain the use of data, and how do schools build the practical mechanism for the use of educational data. This series of questions reflects the main confusion in the application of educational data, and also foreshadows the direction of further exploration of data-driven instructional decision-making. Given the growing number but limited perspective and scope of relevant thematic meta-analyses, this study adopts an umbrella evaluation approach, extracts ten studies based on meta-analysis and systematically reviews the effects of data-driven interventions for instructional applications from the perspectives of scope, cycle, measures, and paths. The key topics such as the main influencing factors, decision-making methods, evaluation mechanisms and long-term goals of data-driven are also proposed, with a view to providing comprehensive analysis conclusions and future breakthrough directions for subsequent related studies.