【作 者】：
曹 梅
【关 键 词 】：
数据驱动； 核心素养； 伴随性数据采集； 学习决策； 学习评价
【栏 目】：
课程与教学
【中文摘要】：
当前核心素养的数字化测评面临挑战，且综合素质评价重“评”而轻“育”、发展性薄弱。与数据赋能精准教学类似，学生核心素养发展也有必要基于数据驱动形成闭环，从而彰显评价的发展性功能。通过对数据驱动教学决策与学习决策的原理阐述、对现代学习评价三个维度的学理分析，研究主张从面向核心素养的教学到评测诊断、积极反馈等环节构建核心素养发展的闭环，并提出了具体的数据驱动路径，包括：整合表现性评价与伴随性数据采集技术而获得更全面、动态的核心素养数据；从学科贯通横轴、纵轴两个方向上构建核心素养的评价指标；基于证据的积极反馈与决策机制等。研究为中小学核心素养测评与发展提供了直接建议。
【英文摘要】：
Currently, digital assessment of core literacy is facing challenges, and comprehensive quality assessment emphasizes "evaluation" rather than "education" and is weak in development. Similar to data-driven precision teaching and learning, it is necessary to form a closed loop for students' core literacy development based on data, so as to highlight the developmental function of assessment. Through the elaboration of the principle of data-driven teaching decision-making and learning decision-making, and the doctrinal analysis of the three dimensions of modern learning assessment, the study advocates the construction of a closed loop of core literacy development from core literacy-oriented teaching to assessment and diagnosis, positive feedback, and proposes a specific data-driven path, including integrating performance assessment and concomitant data collection technology to obtain more comprehensive and dynamic core literacy data; constructing evaluation indicators for core literacy from the horizontal and vertical axes across disciplines; evidence-based positive feedback and decision-making mechanism. The study provides direct suggestions for the assessment and development of core literacy in primary and secondary schools.