智慧教室环境下数学课堂互动教学双编码分析系统开发与行为模式挖掘

The Development and Pattern Mining of Double Coding Analysis System for Interactive Teaching of Mathematics Classroom under the Smart Classroom Environment

如何充分利用智慧教室环境中积淀的教育大数据驱动课堂互动教学高质量发展,已成为我国教育数字化转型亟需解决的问题。对此,文章首先参考国内外课堂互动教学行为的量化分析成果,遵循媒体技术融合于课堂互动教学行为的理念,以5节具有高级智慧教室环境特征的数学优课为例,构建了智慧教室环境下数学课堂互动教学双编码分析系统,并采用肯德尔和谐系数验证了其有效性。接着,文章将30节用于教学行为模式挖掘的数学优课作为研究样本,采用S-T分析法,提炼出数学优课的混合型、对话型、讲授型课堂教学模式。之后,文章对混合型、对话型数学优课的课堂互动教学进行矩阵分析,并采用滞后序列法对混合型、对话型数学优课的课堂互动教学行为模式进行挖掘。最后,文章整合基于教学行为大数据的静态编码频次分析与动态前后关联分析,提炼出智慧教室环境下数学课堂互动教学的典型特征与最新趋向。文章的研究旨在挖掘教学行为大数据的应用价值,循证赋能我国教育的高质量发展与数字化转型。

How to make full use of the educational big data accumulated in the smart classroom environment to drive the high-quality development of classroom interactive teaching has become an urgent problem for the digital transformation of education in China.Therefore,this paper firstly referred to the quantitative analysis results of classroom interactive teaching behaviors at home and abroad,followed the idea of media technology integrating into classroom interactive teaching behaviours,and took 5 mathematics excellence courses with advanced smart classroom environment characteristics as examples to construct a double coding analysis system of interactive teaching of mathematics courses in the smart classroom environment.Meanwhile,the validity of the system was verified by using Kendall’s coefficient of concordance.Then,this paper took 30 mathematics excellence courses for the mining of teaching behavioural patterns as research samples,and adopted the S-T analysis method to refine the hybrid-type,dialogue-type,and lecture-type classroom teaching patterns of mathematics excellence courses.After that,this paper conducted matrix analysis on the classroom interactive teaching of hybrid-type and dialogue-type mathematics excellence courses,and used lag sequence method to mine the classroom interactive teaching behaviour patterns of hybrid-type and dialogue-type mathematics excellence courses.Finally,this paper integrated the static coding frequency analysis and dynamic contextual correlation analysis based on the big data of teaching behaviours to extract the typical features and latest trends of interactive teaching of mathematics classroom in the smart classroom environment.The purpose of this paper was to excavate the application value of big data from teaching behaviours,and empower the high-quality development and digital transformation of education in China based on evidence.