数据驱动的学生核心素养发展  

Data-driven Development of Students' Core Literacy

作　　者：曹梅[1] CAO Mei(School of Education Science,Nanjing Normal University,Nanjing Jiangsu 210097)

机构地区：[1]南京师范大学教育科学学院,江苏南京210097

出　　处：《电化教育研究》2023年第9期86-92,共7页E-education Research

基　　金：2023年度江苏高校哲学社会科学研究重大项目“面向数字化转型的中小学数字公民教育创新模式研究”(项目编号:2023SJZD042)。

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。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.

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 

分 类 号：G434[文化科学—教育学]