A Framework And Application Study On The Optimization Of Teacher-student Interaction Behaviors In The Smart Classroom

Effective classroom teacher-student interaction can fully motivate students’ learning and improve the quality of classroom teaching and learning.Teacher-student interaction in traditional classrooms is often led by teachers based on personal experience,which has disadvantages such as being highly subjective,not conducive to deep learning,and difficult to meet students’ individual needs and common needs.Smart classroom environments with rich data collection,analysis,evaluation and feedback can provide objective data support and offer the possibility of effective classroom teacher-student interaction and communication.Many researchers have conducted research on teacher-student interaction behaviors in smart classroom environments from different perspectives,such as classroom questioning,teacher-student verbal interaction,teacher nonverbal behavior,and classroom feedback.These studies provide a basis for analyzing the characteristics of classroom teacher-student interaction behaviors,but there is still a need for in-depth research on how to further optimize the path of teacher-student interaction behaviors in the smart classroom environment and provide reference and intervention for effective teacher-student interaction.In response to the above situation,this paper uses literature research method,classroom observation method,content analysis method,interview method and comparative experiment method to carry out a research on the optimization framework and application of teacher-student interaction behaviors in secondary school IT smart classroom,and mainly researches the following three aspects.First,through extensive literature reading,we analyzed the current situation,problems and root causes of research on teacher-student interaction behavior analysis and optimization in smart classrooms by domestic and foreign scholars,defined the core concepts involved,as well as the underlying theories and commonly used classroom interaction analysis systems,and briefly elaborated on them to lay the theoretical foundation for an in-depth investigation of teacher-student interaction behavior optimization in secondary school IT smart classrooms.This paper provides a theoretical foundation for an in-depth investigation into the optimization of student-teacher interaction in the IT smart classroom.Secondly,the typical framework of teacher-student interaction optimization in the smart classroom is analyzed and an improved framework of teacher-student interaction optimization in the smart classroom is constructed,focusing on the characteristics and problems of teacher-student interaction in the smart classroom environment.For the data collection layer,we optimize the process data and result data collection scheme by combining the smart teaching platforms such as Super Star Learning and Rain Classroom,and give a concrete implementation plan;for the behavior analysis layer,we systematically sort out and analyze the quantitative behavior analysis model and provide a visual presentation method of the analysis results;for the teaching application layer,we discuss the application scenarios of interaction optimization.Compared with the existing teacher-student interaction optimization framework,the optimization framework proposed in this paper is more feasible for practical operation.Finally,the feasibility and effectiveness of the optimization framework for teacher-student interaction behaviors in IT classrooms are experimentally analyzed through the application of two different scenarios.First,based on the application scenario of teacher-student IT smart classroom teaching,the feasibility analysis of process and result data collection,visual presentation,and semi-automated interaction behavior intervention was carried out.Second,based on the application scenario of secondary school IT smart classroom teaching,the analysis of data collection,analysis,presentation of teacher-student interaction optimization and the application of data-based interaction optimization was carried out.The empirical results show that the optimization framework has strong practical operational feasibility in improving teacher-student interaction behaviors and can effectively improve the effectiveness of secondary school IT teaching.At the same time,the study suggests strategies to further optimize teacher-student interaction behaviors in response to the identified problems.Through this study,it is hoped that it can help improve teacher-student interaction behaviors in the IT smart classroom and provide a useful reference for the analysis of teacher-student interaction behaviors in the smart classroom environment in theory and practice.