Research On The Framework Construction Of Using Artificial Intelligence To Analyze Classroom Teaching Behavior

With the rise of emerging technologies such as artificial intelligence and the improvement of educational information infrastructure,the integration of information technology and education has effectively promoted the quality of education and teaching.In the context of the Internet+,the traditional classroom teaching behavior analysis method is updated by means of artificial intelligence technology to optimize classroom teaching behavior.This approach promotes teachers to fully grasp the classroom situation,reflect on teaching,and enhance professional skills.And to promote students' self-evaluation,adjust the progress of learning,so as to improve the quality of classroom teaching.This research takes classroom behavior analysis as a breakthrough point,integrates artificial intelligence technology and classroom teaching analysis methods,and improves existing analysis methods.Firstly,through literature review,compare several typical classroom teaching behavior analysis systems and methods,combined with the requirements of efficient classrooms to construct a framework for using artificial intelligence to analyze classroom teaching behavior,consisting of observation dimension and evaluation dimension.Secondly,the Delphi method is used to consult the indicators of the observation dimension and revise the framework.Then use the analytic hierarchy process to calculate the weight coefficient of each index until the experts reach the consistency standard and determine the framework for using artificial intelligence to analyze classroom teaching behavior.In order to test the scientificity and operability of the analysis framework,the example teaching video is analyzed by using emotion recognition as an example to obtain visual analysis results.This research expands the dimension and depth of analysis of classroom teaching behavior,has obvious advantages in saving manpower and real-time visual display.Using artificial intelligence technology to analyze classroom teaching behavior,drive technology and data to participate in analysis and evaluation process,shorten analysis time,expand evaluation dimension,improve evaluation efficiency,achieve real-time feedback,and pay attention to classroom effects in real time.Effectively standardize classroom teaching behavior,promote teachers' professional ability and cultivation,scientifically and accurately improve and correct teaching problems,and improve the quality of education and teaching.In the end,it will achieve a comprehensive self-evaluation of students and promote individualized and standardized growth of students.