【作 者】：
牟智佳， 高雨婷， 武法提
【关 键 词 】：
教学证据； 教师增值评价； 教学效能； 教学投入； 核心素养
【栏 目】：
理论探讨
【中文摘要】：
探索增值评价是深化新时代教育评价改革总体方案中的应有之义，增值评价从投入和产出视角关注教育主体间的成长与变化，彰显了师生共同发展的内在旨趣。教师增值评价在实践进路上体现为主体、监测、结果、时空、目标的多重向度，在发展理路上体现为认知、测量、伦理的基本限度。教师增值评价的证据形成流程折射出从数据到信息再到证据，最后形成证据库的变化过程。教师增值评价的证据链节涵盖教学起点证据、教学投入证据、教学结果证据、教学增值证据，证据连接体包含教学交互证据与教学优化证据，其分别将教学投入与产出、教学反思与教学起点进行关联。基于证据的教师增值评价分析框架是以证据为中心，以教学投入、学生产出、教学增值为支撑，通过施教、诊断、改进建立循环体，构成面向教与学流程的评价闭环。其运行路径则是以教学评测数据根基平台为抓手，构筑数据感知、证据评价、教学行动、实时反馈的一体化评测体系。
【英文摘要】：
Exploring value-added evaluation is an appropriate part of the overall plan for deepening the reform of educational evaluation in the new era. The value-added evaluation pays attention to the growth and changes among educational subjects from the perspective of inputs and outputs, which shows the internal interest of teachers and students in common development. Teachers' value-added evaluation is embodied in the multiple dimensions of subject, monitoring, result, time and space as well as goal in the practical approach, and it is embodied in the basic limits of cognition, measurement and ethics in the development theory. The evidence formation process of teacher value-added evaluation reflects the change process from data to information, then to evidence, and finally to an evidence base. The evidence chain of teacher value-added evaluation includes teaching starting point evidence, teaching input evidence, teaching result evidence and teaching value-added evidence. The evidence connector includes teaching interaction evidence and teaching optimization evidence, which respectively associate teaching input and output, teaching reflection and teaching starting point. The analysis framework of evidence-based teacher value-added evaluation is centered on evidence, supported by teaching input, student output and teaching value-added, and forms a closed-loop evaluation for teaching and learning process through teaching, diagnosis, and improvement. The operation path of evidence-based teacher value-added evaluation is to build an integrated evaluation system of data perception, evidence evaluation, teaching action and real-time feedback based on the basic platform of teaching evaluation data.