【作者】 杨杰；

【导师】 刘金梅；

【作者基本信息】 华东师范大学 ， 教育（专业学位）， 2025， 硕士

【摘要】 随着信息技术的发展,视频分析技术为课堂教学行为分析提供了新的研究手段,有助于客观地进行教学评价。课堂行为是指师生在课堂上所展现的一系列活动和表现,包括言语行为和活动行为,是教学过程的重要组成部分。课堂行为的表现复杂多样,师生行为相互影响,一系列课堂行为影响教学效果和学生的学习成果。本研究以中学物理课堂教学行为分析为核心,利用Nvivo软件对视频进行预处理并根据云模型中的编码表对教学行为进行编码,采用云模型分析法和LSA滞后序列分析法对优质课堂进行深入剖析,探究课堂的内在差异和共性,分别从三个阶段递进展开:第一阶段,基于“格致杯”师范生教学技能比赛的3个获奖视频,利用云模型分析法对师范生课堂行为进行分析,初步揭示优质课堂行为特征,形成系统的课堂行为分析方法。第二阶段,针对云模型参数的局限,融合LSA滞后序列分析法,提出修正评价函数,并基于第十四届全国中学物理青年教师教学大赛31个获奖视频验证其区分效度,进一步总结真实课堂实录下的优质课堂的行为特征及其行为转化模式。第三阶段,将修正函数应用于某师范大学30个本科师范生的真实课堂实录,通过评分分析和课堂行为特征分析,为师范生的培训提出具有针对性的科学指导意见,证实其在实际教学评价中的有效性和指导意义。研究历程层层递进,形成“系统初探——方法优化——实践应用”闭环,为中学物理教学能力培训提供科学工具。本研究为视频分析技术评价课堂教学水平提供了可借鉴的方法,为教学实践提供了有益的参考,特别是对新手教师的专业能力发展提供了许多可参考的建议。可以将该技术广泛应用于实际教学中,为师范生教学能力培训提供科学依据。更多还原

【Abstract】 With the development of information technology,video analysis technology provides a new research method for classroom teaching behavior analysis,which is helpful for objective teaching evaluation.Classroom behavior refers to a series of activities and performances displayed by teachers and students in the classroom,including verbal behavior and activity behavior,which is an important part of the teaching process.The performance of classroom behaviors is complex and diverse,and the behaviors of teachers and students affect each other,and a series of classroom behaviors affect the teaching effect and students’learning outcomes.In this study,we took the analysis of middle school physics classroom teaching behavior as the core,used Nvivo software to preprocess the video and encode the teaching behavior according to the coding table in the cloud model,and used the cloud model analysis method and LSA lag sequence analysis method to deeply analyze the high-quality classroom,and explore the internal differences and commonalities of the classroom,which progressed from three stages:In the first stage,based on the three award-winning videos of the"Gezhi Cup"Normal Student Teaching Skills Competition,the cloud model analysis method was used to analyze the classroom behavior of normal students,and the characteristics of high-quality classroom behavior were initially revealed,and a systematic classroom behavior analysis method was formed.In the second stage,aiming at the limitations of the cloud model parameters,the LSA lag sequence analysis method was integrated to propose a modified evaluation function,and the discrimination validity was verified based on 31 award-winning videos of the 14th National Middle School Physics Young Teachers Teaching Competition,and the behavior characteristics and behavior transformation patterns of high-quality classrooms recorded in real classrooms were further summarized.In the third stage,the correction function was applied to the real classroom records of 30 undergraduate normal students in a normal university,and through scoring analysis and classroom behavior characteristic analysis,targeted scientific guidance was put forward for the training of normal students,and its effectiveness and guiding significance in actual teaching evaluation were confirmed.The research process is progressive,forming a closed loop of"system preliminary exploration-method optimization-practical application",which provides scientific tools for the training of physics teaching ability in middle schools.This study provides a reference method for evaluating the level of classroom teaching by video analysis technology,and provides a useful reference for teaching practice,especially for the professional ability development of novice teachers.This technology can be widely used in practical teaching to provide a scientific basis for the training of normal students’teaching ability.更多还原