数据驱动教学决策真的有效吗?——基于近十年国内外43项相关的实验和准实验元分析

Does Data Driving Teaching Decision Making Really Work?--Based on Meta-Analysis of 43 Relevant Experimental and Quasi-experimental Studies at Home and Abroad in the Past Decade

数据驱动教学决策是大数据时代循证科学研究在教育教学中的应用与发展,具有促进决策科学化、教学有效化、教育现代化的功能,但研究对于“数据驱动教学决策是否有效”这一问题仍然存在争议。对此,文章对近十年国内外43项相关的实验和准实验研究文献进行了元分析,结果显示:数据驱动教学决策对学生学习效果具有显著的正向促进作用,具体体现在认知发展、行为发展、情感发展三个维度;数据驱动教学决策受决策主体角色、决策技术工具、决策驱动过程、决策执行方式四个调节变量的影响,但不同调节变量对数据驱动教学决策的影响存在差异。基于研究结论,文章针对数据驱动教学决策的优化提出建议,以提升教学决策的科学性和有效性,助力教育数字化转型的深度推进。

Data driving teaching decision making is the application and development of evidence-based scientific research in education and teaching in the big data era,which has the function of promoting scientific decision making,effective teaching and modern education.However,there is still controversy on“whether data driving teaching decision making is effective”.Therefore,this paper made a meta-analysis of 43 relevant experimental and quasi-experimental research literature at home and abroad in the past decade.The results showed that data driving teaching decision making had a significant positive effect on students’learning effects,which was reflected in the three dimensions of cognitive development,behavioral development and emotional development.The data driving teaching decision making was mainly affected by four regulated variables of the principal roles of decision making,the technology tools of decision making,the driven process of decision making and the execution mode of decision making.However,the influences of different regulated variables on teaching decision making driven by data were different.Based on the research conclusion,this paper put forward some suggestions for the optimization of teaching decision making driven by data,in order to improve the scientificity and effectiveness of teaching decision making and promote the deep propulsion of the digital transformation of education.