Analytical Methods Research Of Teaching And Learning Behaviors In Classroom Based On Video

With the continuous advancement of educational informationization, the integration of information technology and education is increasingly deepening. How to use information technology to promote the innovation of analytical methods and techniques for teaching and learning behaviors in classroom has become one of the problems to be solved in the process of educational informationization.In China, classroom instruction is the main form of formal education. Under the background of educational informationization, using information technology to innovate the analytical method of teaching and learning behaviors in classroom has important significance. Through the analysis of teaching and learning behaviors in classroom, it can improve teachers' ability of teaching, analysis and evaluation, effectively promote the development of teaching activities, and improve the teaching efficiency and quality.This thesis takes classroom teaching behaviors as the research object and studies the classroom teaching behavior from the perspective of observing and evaluating the behavior based on video. Relying on the work of project group research, and on the basis of a large number of literatures, the analysis and evaluation method of teaching and learning behaviors in classroom based on video is deeply studied. The main research contents include five aspects:(1) The method and technique research on video-based classroom teaching observation; (2) The construction of encoding system for teaching and learning behaviors analysis in classroom; (3) The analytical model research on teaching and learning behaviors; (4) The analysis and evaluation method of classroom teaching and learning behaviors; (5) the implementation and application of classroom teaching behaviors analysis system. Based on the above studies, the research results of this thesis are mainly embodied in the following aspects:Firstly, the research explored the classification systems and analysis methods of the classroom teaching and learning behaviors, and then enriched the theory and methods of classroom instructional analysis and evaluation. It conducted a comparative analysis of four typical encoding systems:FIAS, VICS, ITIAS and S-T, which are the mainly influential encoding systems of classroom teaching and learning behaviors. In the view of the shortcomings of relevant coding systems, and according to the difference of behavior subjects (teacher and student) and behavior activity forms (verbal behavior and activity behavior), classroom teaching and learning behaviors were divided into four categories in the thesis:teacher's verbal behavior, teacher's activity behavior, student's verbal behavior and student's activity behavior. Each category also contained four specific forms of behavior performance, a total of 16 kinds of behaviors, respectively with 16 characters for encoding. According the needs to observe and analyze classroom teaching and learning behaviors, the standard to observe and record the teaching and learning behaviors was developed, and three constraint rules was made to solve the special cases. The standards and rules were regarded as a guide to observe and record the teaching and learning behaviors.Secondly, the model which is named "Classroom teaching and learning behaviors Cloud" (CTLBC) was put forward in this research, which is used to get the parameters of related attributes for evaluation, and provide quantitative basis for instructional evaluation. The details include:(1) the construction method of CTLBC was proposed based on the establishment of classroom teaching and learning behaviors coding system, and the basic attributes, static characteristics and dynamic characteristics of the cloud model were established; (2) analyzed the potential disadvantage of the cloud model applied in classroom teaching, and gave the methods to optimize the model through data standardization process, multilevel score mechanism and cloud structure optimization; (3)put forward the parameters calculation method of key attributes of the cloud model, such as area, perimeter, center of gravity, coefficient of variation etc., which lays the foundation for quantitative analysis and evaluation of classroom teaching and learning behaviors.Thirdly, the research proposed a new analysis and evaluation method of classroom teaching and learning behaviors based on the cloud model. (1) Studied the analytical methods, such as the rate of behaviors, the basic attributes of the cloud, transfer matrix, time series analysis for behaviors, etc. This can be used to analyze the general distribution of classroom teaching and learning behaviors; (2) taking the cloud's area and perimeter as the eigenvector of evaluation value H for teacher's general level, an evaluation function was set up to assess and evaluate the teacher's general level of classroom teaching and learning behaviors; (3)generally considering the two axes'relevance between behavior subjects (teacher and student) and behavior forms (verbal behavior and activity behavior), the instruction was divided into five different teaching model:lecture, dialogue, practice, activity and mixed model, and each model's regional distribution diagram and reference value range were given to establish a quantitative evaluation mechanism for determining classroom teaching mode; (4) discussed the meaning of the transfer of CTLBC, and studied the estimation method of ultimate limit state in the transfer process of CTLBC on the basis of time homogeneous Markov chains with the characteristic of stationary transition probability and ergodic property. This provides a new way to estimate the teacher's professional development at the aspect of classroom teaching behaviors; (5) discussed the analysis method of interactive depth of classroom teaching and learning behaviors. The interactive depth of three situations:the same problem, the same subject, and a complete lesson were detailedly analyzed, and measuring method of interactive depth was put forward in the thesis.Finally, on the basis of the research above, we designed and implemented an analysis system of classroom teaching and learning behaviors, built an instructional video library based on the videos of Rural Educational Resource Regional online Service Platform, and conducted study on the application of the system. Through empirical research, the effectiveness and practicability of the system was proved. Meanwhile, we compared the new analytical method with others. The application results showed that the analytical method of classroom teaching and learning behaviors in this thesis not only can realize the function of FIAS, S-T and other existing analytical methods, with the similar analytical results, but also provide more comprehensive and deeper analysis for classroom teaching and learning behaviors, and also have obvious advantage in result visual presentation.