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基于行为序列分析的智慧课堂有效教学行为辨识 被引量:3

Effective Teaching Behavior Identification in Smart Classroom Based on Behavior Sequence Analysis
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摘要 随着信息技术在教学应用中的飞速发展,智慧课堂行为相比传统课堂变得更为复杂多样。为发现智慧课堂教学中存在的问题,促进教师专业发展,需要对智慧课堂有效教学行为进行辨识。但是,当下教学行为研究多以定性研究为主,难以深刻剖析课堂运转规律,因此文章首先进行文献梳理以发现可以借鉴和需要改进的研究点;然后文章以10个智慧课堂获奖课例与普通课例作为研究样本,在ITIAS的基础上对课例中的教学行为进行编码,经由滞后序列分析法和课堂观察法分析后,借助智慧课堂行为占比与频次、残差值和行为转换图对师生的有效教学行为进行辨识;最后,文章基于辨识结果,从以情燃情、借技赋能、由技启智、入境升华四个方面提出优化智慧课堂中的师生教学行为策略,以期促进有效教学行为发展,让智慧课堂彰显智慧。 With the rapid development of information technology in teaching applications,smart classroom behavior has become more complex and diverse as compared to traditional classrooms.In order to discover existing problems in smart classroom teaching and promote teachers’professional development,it is necessary to identify effective teaching behaviors in smart classrooms.However,the current research on teaching behaviors is mainly qualitative research,which is difficult to deeply analyze the classroom operation rules.Therefore,the paper firstly combed the literature to find research points that can be used for reference and need to be improved.Then,taking 10 award-winning smart classroom cases and ordinary classroom cases as research samples,this paper coded the teaching behaviors in the cases on the basis of ITIAS.Furthermore,after the analyses with the lag sequence analysis method and classroom observation method,the effective teaching behaviors of teachers and students were identified with the help of the proportion and frequency of smart classroom behaviors,residual values,and behavior transition maps.Finally,based on the identification results,the strategies to optimize the teaching behavior of teachers and students in smart classrooms were proposed from four aspects of igniting emotion by emotion,enabling by technology,enlightening wisdom by technology and sublimating by entry,in order to promote the development of effective teaching behavior and reveal the wisdom in smart classrooms.
作者 刘革平 孙帆 廖剑 LIU Ge-ping;SUN Fan;LIAO Jian(School of Educational Technology,Faculty of Education,Southwest University,Chongqing,China 400715)
出处 《现代教育技术》 2023年第6期82-91,共10页 Modern Educational Technology
基金 国家自然科学基金面上项目“基于图神经网络的学生课堂状态协同判别及解释模型研究”(项目编号:62177039)的阶段性研究成果 “西南大学创新研究2035先导计划”(项目编号:SWUPilotPlan002)资助。
关键词 智慧课堂 有效教学行为 行为序列 滞后序列分析法 教学策略 smart classroom effective teaching behavior behavior sequence lag sequence analysis teaching strategies
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