【作 者】：
汪维富， 闫寒冰， 毛美娟
【关 键 词 】：
数据故事化； 价值转化； 学习分析； 数据要素； 设计事理； 叙事模型
【栏 目】：
理论探讨
【中文摘要】：
随着教育数字化转型在向数据纵深推进，对于教育数据要素的见解提取与价值转化不仅是分析人员的工作范畴，而且开始依赖处在数据生成与应用现场的教育者、学习者。然而，这些用户在数据要素的认知解读及决策转化上还存在较大挑战。数据故事化为教育数据要素的开发利用与价值转化研究提供了新视角。研究概述了数据故事化的概念内涵与构成要素，重点刻画了数据故事化的设计参考模型，分析了数据故事化对于教育大数据价值转化的启示。研究认为，数据故事化是数据价值转化的深度设计逻辑，主张整合叙事要素、模型与方法，对抽象数据进行叙述化编排、情境化再植、策展性解释，通过拓展设计要素、厘清设计特征、关注设计事理等新给养，支持非数据专业用户对教育数据的深度认知与价值转化。
【英文摘要】：
As the digital transformation of education advances deeper into the data, the extraction of insights and value transformation of educational data elements is no longer the work of analysts, but begins to rely on teachers and learners in the field of data generation and application. However, these users still have great challenges in cognitive interpretation and decision-making transformation of data elements. Data storytelling provides a new perspective for the research on the exploitation and value transformation of educational data elements. This study outlines the conceptual connotation and components of data storytelling, focuses on the design reference model of data storytelling, and analyzes the enlightenment of data storytelling on the value transformation of educational big data. This study argues that data storytelling is the in-depth design logic of data value transformation, advocating the integration of narrative elements, models and methods, conducting narrative arrangement, contextualized replanting and curatorial interpretation of abstract data, and supporting non-data professional users' deep perception and value transformation of educational data by expanding design elements, clarifying design features and focusing on design rationales.