Wisdom Learning Environment Elementary And Middle School Chinese Classroom Teacher-student Interaction Behavior Video Analysis Research

With the continuous advancement of education informatization 2.0,the smart learning environment has made certain progress.The teacher-student interaction behavior in the smart classroom appears to be particularly important.Lag Sequence Analysis(LSA)provides new research ideas for classroom teacher-student interaction behavior.With the introduction of the curriculum reform,more and more attention has been paid to teacher-student interaction in the classroom.At the same time,effective interaction between teachers and students also contributes to the professional development of teachers.The depth and quality of teacher-student interaction will directly affect the quality of classroom teaching.Analyzing the teacher-student interaction behaviors of novice teachers and expert teachers in the Chinese classroom of primary and secondary schools in a smart learning environment will help improve the quality of classroom teaching and promote the professional development of teachers.This research takes the 32-sessions of primary school Chinese under the smart learning environment on the platform of "One Teacher,One Excellent Class" in 2019 as the research object to carry out research.First of all,based on the ITIAS coding table,the classroom teaching behavior record table is designed.Secondly,according to the coding rules,samples are taken every three seconds to record the interactive behavior of teachers and students in the classroom.With the help of GSEQ5.1software,the lag sequence analysis of the coding results is performed,and the behavior sequence conversion diagram is drawn through Gephi software,and the analysis results are presented in a visual form,and the novice type The similarities and differences between teacher-student interaction behavior sequence between teachers and expert teachers,and provide suggestions and strategies for effective teacher-student interaction and teacher professional development.The research results show that:(1)the teacher’s speech style tendency in the smart learning environment is directly affected and the teaching effect tends to be actively strengthened;(2)the novice teacher and the student’s Q&A interaction behavior sequence is always switched between different rounds,and the expert teacher Student Q&A is more in-depth;(3)Novice teachers and expert teachers deal with students’ proactive questions in different ways;(4)Novice teachers use technology in the classroom with richer content of behavior sequences than expert teachers.On the basis of the research results,this research puts forward three suggestions:(1)Strengthen the reflection and improvement of novice teachers’ classroom questioning,and promote in-depth interaction between teachers and students;(2)Increase the frequency of expert teachers’ use of technology to enable smart learning The environment is no longer just a tool for presenting teaching content;(3)Pay attention to the human-computer interaction in the smart classroom.