数据驱动的课堂观察活动多元分析与改进研究  

Data-driven Multiple Analysis and Improvement of Classroom Observation Activities

作　　者：王阿习 余胜泉 陈玲[2,3] Wang Axi;Yu Shengquan;Chen Ling(Teachers College,Beijing Union University,Beijing 100011;Beijing Advanced Innovation Center for Future Education,Beijing Normal University,Beijing 100875;Faculty of Education,Beijing Normal University,Beijing 100875)

机构地区：[1]北京联合大学师范学院,北京100011 [2]北京师范大学未来教育高精尖创新中心,北京100875 [3]北京师范大学教育学部,北京100875

出　　处：《中国电化教育》2022年第2期106-113,121,共9页China Educational Technology

基　　金：教育部人文社会科学青年项目“基于文本情感识别的教师教学问题智能诊断与改进研究”(项目编号:20YJC880088);北京联合大学教育科学研究课题“基于社会知识网络的U-S协同课例研究活动设计”(课题编号:Jk202003)阶段性研究成果。

摘　　要：线上线下相结合的课堂观察活动具有跨越时空、支持大规模协同等优势,已成为促进中小学教师专业发展的重要活动。但是,其在应用中存在突出问题,如难以从大量非结构化的多源反馈数据中及时发现教师集体共识信息,难以精确诊断与改进教学问题,难以实现教师同伴之间互助学习。为解决上述问题,该研究依据观察学习理论与学习分析技术,构建了包含课堂观察活动全过程数据采集、多元分析、可视化反馈报告、社会知识网络自动推荐、精准改进等要素的课堂观察多元分析与改进模型,并开发了支撑系统。研究结果表明该模型实现了对教师教学知识技能、观察参与行为与情感状态的及时诊断,能够推动课堂观察向数据驱动的科学决策与精准改进转变,实现观察者与被观察者的协同发展。Online and offline classroom observation activities have the advantages of spanning time and space,supporting largescale collaboration,facilitating wisdom co-construction and sharing,etc.,and have become an important activity to promote the professional development of primary and secondary school teachers.However,there are prominent problems in its application,such as difficulty in timely discovering teachers’collective consensus information from a large number of unstructured multi-source feedback data,difficulty in accurately diagnosing and improving teaching problems,and difficulty in realizing mutual learning among teachers.To solve the above problems,this study constructed the model on multiple analysis and improvement of classroom observation activities based on the theory of observational learning,including the whole process of data collection,multivariate analysis,visual feedback report,and the social knowledge network,multiple subjects collaborate to improve.This research realized the timely diagnosis of teachers’teaching knowledge and skills,participation behavior and emotional state,promoted the transformation of classroom observation to scientific decision-making and accurate improvement based on data,and realized the collaborative development of the observers and the observed.

关 键 词：数据驱动 课堂观察 多元分析 观察学习 社会知识网络 

分 类 号：G434[文化科学—教育学]