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Research On The Characteristics And Effects Of Teachers' Classroom Emotional Work

Posted on:2021-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:N Y YangFull Text:PDF
GTID:2427330605964100Subject:Education Technology
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With the comprehensive advancement of education reform,China has paid more attention to the study of educational sentiment.The study of teachers' classroom emotions is regarded as an important topic,and teachers are generally regarded as emotional workers.However,it is found through relevant literature that most of our research on teacher emotions is from a macro level,and the research methods and scope of research are also limited.With the development of information technology,related information technologies such as the Internet of Things,big data,and artificial intelligence have provided new ideas for microscopic research of classroom behavior.In order to explore the microscopic expression of teacher emotions in teaching classroom scenarios.This article analyzes the emotional characteristics of teachers in the classroom by means of information technology and artificial observation.It also further examines the effects of student behaviors on teachers' different classroom emotional characteristics.The main work and innovation of this article are as follows:First,in order to explore the relationship between teacher classroom emotions and student behavior.Based on the structural dimensions of emotional work and social construction theory,this paper proposes a classroom emotional interaction model to describe the expression and transmission of teachers' emotional signals in teacher-student interaction in classrooms,and the influence of teachers' classroom emotions on students' classroom behaviors.Further research is carried out on the theoretical basis.Secondly,according to the explicit characteristics of teachers' classroom emotions and students' behaviors,this paper constructs teachers' classroom emotions observation tables and students' classroom behaviors observation tables to statistics and quantify the teachers 'classroom emotional characteristics and students' behaviors.The computer recognition technology and manual coding are used to identify,count,encode,and calculate the video data corresponding to 16 groups of teachers and students,and finally obtain 1364 sets of data.The teacher data includes classroom emotional state,emotional type,emotional intensity,and emotional duration,and student behavior data includes student concentration rate,hand-raising rate,and fatigue rate.Then,statistics,analysis,and visualization of relevant data were conducted to explore the characteristics of teacher's classroom emotional frequency,intensity,diversity,and duration,as well as the level of student concentration,hand-raising,and fatigue rate under these characteristics.The findings include:(1)Teachers' classroom emotions are mainly positive,which is mainly manifested in teacher-student interaction,but negative emotions are not optimistic.The overall emotional intensity is weak,mainly single emotions,manifested in physical emotions,and lasts for more than 15s.(2)Students' concentration is lower under long-term negative and neutral emotions,especially when teachers have a single negative physical emotion.(3)The richer and stronger the positive emotion expressions of the teacher,the more hands raised by the students,especially under the combination of positive speech and body emotions,the best effect is raised by the students.(4)Neutral emotions have a higher fatigue rate than students with some negative emotions.Finally,based on the above research results,suggestions are made for the use of classroom emotions.The above work has enriched the theoretical research of teachers' classroom emotions,and also provided a theoretical basis for breakthroughs in corresponding technologies for emotion recognition.In addition,the research conclusions are beneficial to teachers' emotional adjustment and improvement in practical applications.
Keywords/Search Tags:Teacher classroom emotion, emotional interaction, student classroom behavior, computer recognition
PDF Full Text Request
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