Observation And Analysis Of Classroom Learning Behavior Of Junior High School Students In Physics Based On Artificial Intelligence Technology

Education is the foundation.Education is the internal driving force for the development of a country,so the importance of education to a country is self-evident.Nowadays,the main way for students to receive education is school education,and the school’s teaching form is mainly based on the class teaching system.Teachers should not only explain the knowledge,but also take into account the students’ reactions,so as to adjust the teaching in time according to the students’ reactions.In this teaching mode,teachers cannot take into account all students when teaching,because the teaching process is very complicated.Artificial intelligence technology provides the possibility to solve this problem.Using technology,we feed back students’ learning to teachers,so teachers can focus on each student’s classroom behavior.According to the different learning behaviors of students,targeted teaching will be carried out,so the teaching efficiency will be greatly improved.This research is divided into six chapters: the first chapter introduces the background and significance of the topic selection,literature review,research purposes,research ideas and methods,and the difficulties of the research;the second chapter defines "student learning behavior","artificial intelligence" Technology”,“physics discipline”,“classroom observation”and other related concepts,and expounds behaviorism theory,cognitivism theory,constructivism theory,classroom observation theory,etc.as the theoretical basis of this research work;the first part of chapter three is the classroom Video collection and processing,the second part is to cut the video into frames and then calibrate the picture.In the first part of video collection and processing,in order to make the analysis of this paper more scientific,this research has done a lot of preparations for video collection,including: the selection of classroom video recording equipment,the selection of shooting objects,and the selection of shooting angles.The second part is to cut the video into frames and then calibrate the pictures.The calibrated learning behavior of students is trained with artificial intelligence technology,and the results of manual calibration and artificial intelligence technology training are compared.This study finds that the accuracy of artificial intelligence technology calibration is very high.The fourth chapter is to collect the frequency of learning behavior,students’ academic performance,students’ homework completion,and students’ interest in physics learning.Using excel and spss to organize and analyze data to explore the correlation between students’ learning behavior and the three,the results show that students’ learning behavior is positively correlated with students’ academic performance;Positive correlation;no significant correlation was found between students’ learning behavior and students’ interest in learning physics.The last chapter is a summary,including research conclusions and suggestions,shortcomings and prospects.