深度学习技术在学生课堂行为识别中的应用现状和发展趋势

he students\' learning behavior in the classroom is helpful to analyze the students\' classroom involvement and participation. It is an important part of classroom teaching evaluation and provides an important basis for teachers to timely adjust teaching strategies and implement effective teaching interventions. In recent years, with the rapid development of computer vision technology and artificial intelligence technology represented by deep learning in the field of images, automatic recognition of students\' classroom learning behavior based on deep learning has attracted much attention in the field of educational technology. However, the complexity of the real teaching environment has brought great challenges to the effect and quality of behavior recognition. This paper adopts the method of literature analysis to deeply discuss the research status and development trend of students\' classroom behavior recognition. Firstly, the paper summarizes the research nodes of classroom learning behavior recognition based on deep learning technology, and analyzes the key problems in each research node; Secondly, it combs the research status quo of classroom behavior recognition methods in detail, analyzes the current shortcomings and future development trends; Finally, it discusses the development trend of deep learning technology in the direction of effect evaluation, interpretability and privacy protection in learning behavior recognition.