【作 者】：
谢幼如， 高 磊， 邱 艺， 彭志扬， 李成军
【关 键 词 】：
智能技术； 高质量课堂； 评价创新； 人机协同； 数据驱动
【栏 目】：
课程与教学
【中文摘要】：
随着新一轮科技革命和国家教育数字化战略行动的推进，亟须以智能技术赋能课堂评价创新这一“小切口”，撬动高质量课堂支撑教育高质量发展的“大转型”。研究呼应国家建设高质量教育体系的时代诉求，立足新时代教育评价改革方向，围绕高质量课堂价值意蕴与实践逻辑，提出“价值引领+数字转型”的课堂评价创新理念；在此基础上，将教与学理论和评价研究方法有机结合，以育人水平高、教学效率高、结构稳定性高等“三高”为主要特征，构建体现“诊改贯穿+数智赋能”的高质量课堂评价指标体系；接着面向人机协同的智能应用发展趋势，彰显双向赋能基本思想，探索形成“人机协同+数实融合”的高质量课堂评价创新路径，并利用课堂教学大数据分析系统开展实践应用。研究结果表明，以“三高”特征重构的高质量课堂评价指标体系，能够为智能技术赋能人机协同课堂的评价、诊断、干预、改进等提供新路向，有效推动课堂的高质量发展。
【英文摘要】：
With the new round of scientific and technological revolution and the promotion of national education digitalization strategy, it is urgent to empower classroom evaluation innovation with intelligent technology and leverage high-quality classrooms to support the "great transformation" of high-quality education development. The research echoes the needs of constructing a high-quality education system in the country, based on the direction of educational evaluation reform in the new era, and focusing on the value connotation and practical logic of high-quality classroom, proposes the innovative concept of "value leading+ digital transformation" in classroom evaluation. On this basis, teaching and learning theory and evaluation research methods are organically combined, and a high-quality classroom evaluation index system is constructed that embodies "diagnosis and reform + digital intelligence empowerment" with the main characteristics of high level of education, high teaching efficiency and high structural stability. Then, facing the development trend of intelligent application of human-machine collaboration, this paper highlights the basic idea of two-way empowerment, forms an innovation path of high-quality classroom evaluation of "man-machine collaboration + digitalization and practice integration", and utilizes the big data analysis system of classroom teaching to carry out practical application. The research results indicate that the high-quality classroom evaluation index system reconstructed with the "three-high" characteristics can provide a new direction for the evaluation, diagnosis, intervention and improvement of human-machine collaborative classroom empowered by intelligent technology, effectively promoting the high-quality development of classroom.