增强教育数字化的实践理性:数据驱动决策的模型构建与应用验证

Strengthening the Practical Rationality of Digital Education:Model Construction and Application Verification of Data-Driven Decision Making

在教育数字化进程中,增强实践理性、激发数据要素的教育变革潜能,是教育工作者亟需解决的关键问题。面对海量的教育数据,只有经过科学有效的处理和分析,才能发挥其独特的教育价值,促进科学决策的形成。但从目前的实践情况来看,一线教育实践者并没有为分析和解释数据做好充分准备,也缺乏相应的决策路径支持和成功经历。为了让更多一线实践者在应用数据时获得思维线索上的支持,提升数据驱动决策的质量,本研究在数据应用情境的调研基础上,辨析出数据、平台、问题三种数据驱动决策的行动入口并构建了相应的决策模型,继而通过四个月的时间开展模型的实践应用及验证,结果表明三种决策模型具有良好的可用性水平,能够有效支持实践者开展教育教学改进或教师专业发展相关的数据驱动实践。

In the process of education digitalization in China,the key problem that educators need to solve urgently is to strengthen practical rationality and stimulate the educational reform potential of data elements.In the face of massive educational data,only through scientific and effective processing and analysis can we play its unique educational value and promote the formation of scientific decision-making.However,from the current practice,front-line education practitioners have not been fully prepared to analyze and interpret data,and lack the path and successful experience to carry out decision making.In order to enable more front-line practitioners to obtain support from thought clues when applying data and improve the quality of data-driven decision making,this study identified three action entries of data-driven decision making:data,platform,and problem,and constructed corresponding models based on the research of data application scenarios,and then carried out the practical application and verification of the models in four months.The results show that the three decision-making models have good usability,and can effectively support practitioners to carry out data-driven practices related to education and teaching improvement or teacher professional development.