Font Size: a A A

The Construction Of High School Mathematics Teachers' Teaching Reflection Evaluation Index System And Intelligent Evaluation Research

Posted on:2022-04-20Degree:MasterType:Thesis
Country:ChinaCandidate:F YangFull Text:PDF
GTID:2517306497483144Subject:Subject teaching
Abstract/Summary:PDF Full Text Request
Teaching reflection is the driving force of teachers'growth,and the improvement of its level plays a role in promoting the professional development and quality of teachers.According to the current research on teaching reflection,it can be found that most of the literature focuses on the investigation of the status quo of teacher s'teaching reflection and the research on improvement strategies,and few focus on the construction of the teacher's teaching reflection evaluation index system and evaluation model,and a few researches on the construction of the index system There is still a lack of division of specific sections and disciplines,and there is very little research on the construction of an intelligent evaluation system for teaching reflection with artificial intelligence as the technical support.Therefore,the construction of high school mathematics teacher teaching reflecti on evaluation index system can provide reasonable teaching reflection evaluation tools on the one hand,and on the other hand,it can also provide direction for the content of high school mathematics teacher teaching reflection.Therefore,high school mathematics teacher teaching reflection is used as a breakthrough point.,Combined with artificial intelligence technology,the core questions of the research are the following three aspects:(1)What is a reasonable evaluation index system for high school mathematics teachers'teaching reflection?(2)What is a reasonable evaluation model of high school mathematics teachers'teaching reflection?(3)How to combine artificial intelligence technology to realize the intelligent assessment of high school mathematics teachers'teaching reflection?Based on the above research questions,in order to compile the evaluation index system for high school mathematics teachers'teaching reflection,firstly,the literature analysis method was adopted to sort out the existing literature to determine the theoretical basis,and initially design the various indicators of the evaluation index system;secondly,use the Delphi method Conducted two rounds of opinion consultation with experts in mathematics education,pedagogy,psychology,and middle school mathematics related fields,revised and improved the evaluation index system,combined with the characteristics of high school mathematics teachers'teaching reflection content,and applied qualitative text analysis to the reflection text content Excavate to ensure the rationality and saturation of the dimensions and indicators of the indicator system,so as to complete the construction of the evaluation indicator system.In order to construct a scientific high school mathematics teacher teaching reflection evaluation model,the analytic hierarchy process is used to calculate the weight coefficients,through the reliability test and validity test of the implementation of the model,to ensure the scientificity,reliability and validity of the evaluation model,thus completing the evaluation.The overall construction of the evaluation index system and evaluation model.In order to further achieve efficient evaluation,the artificial intelligence technology is combined with the constructed evaluation index system and evaluation mode l,and the semantic similarity algorithm based on How Net is used to develop an int elligent evaluation system for high school mathematics teacher teaching reflection,and has been tested and applied.,The accuracy rate is more than 80%,and the development,design and application of the intelligent evaluation system for the teaching reflection content of high school mathematics teachers have been initially realized.Based on the above research process,three research conclusions are drawn:(1)Constructing the evaluation index system of high school mathematics teachers'teaching reflection.A two-level teaching reflection evaluation index has been compiled,consisting of 4 first-level indicators(teaching background,teaching preparation,teaching process,teaching effectiveness)and 11 second-level indicators(course standard requirements,textbook understanding,student conditions,teaching goals,and key points).Difficulties,process design,teacher teaching,student learning,classroom culture,teacher development,student development)composition.(2)Constructed an evaluation model of high school mathematics teachers'teaching reflection.The research on the teaching reflection evaluation model constructed by the analytic hierarchy process is expressed by a mathematical formula:=0.0338B1+0.0291B2+0.0462B3+0.0555B4+0.0433B5+0.0484B6+0.1377B7+0.1631B8+0.0685B9+0.1620B10+0.2124B11(S indicates the total score of teaching reflection,B1-B11 indicate the corresponding scores of each secondary index in turn),through the calculation of the reliability of the scorer and the calculation of the content validity,it is verified that the evaluation index system and evaluation model have a good performance Reliability and validity.(3)Constructed and applied the intelligent evaluation system of high school mathematics teachers'teaching reflection.Based on the evaluation index system and evaluation model,with the help of artificial intelligence technology,the intelligent evaluation of teaching reflection texts is realized.Based on the research results obtained,relevant enlightenment and suggestions on the teaching reflection of high school mathematics teachers are obtained:(1)On the premise of mathematics teaching background,deeply review the"three foundations";(2)Based on the mathematics teaching preparation,practical Expand teaching design;(3)Diagnose classroom teaching problems with the mathematics teaching process as the core;(4)Support the effectiveness of mathematics teaching and urgeself-improvement.
Keywords/Search Tags:high school mathematics teacher, teaching reflection, evaluation index system, evaluation model, artificial intelligence, intelligent evaluation
PDF Full Text Request
Related items