Intelligent Analysis of Teacher Classroom Management Features Based on Video Stream Data

Classroom management is crucial for ensuring classroom teaching quality. Effective classroom management involves maintaining the classroom order, creating a positive classroom climate, and addressing student misbehaviors. With intelligent technology integration into classroom video analysis, intelligent video analysis has been widely used in teachers’ behavior analysis. Adopting natural language process technology and computer vision, collecting and analyzing multimodal data related to teachers' classroom management behavior is possible. This paper proposed a novel method for analyzing teachers’ classroom management behavior based on video stream data and conducted practical applications. The practical results showed that intelligent analysis of classroom management based on video streaming technology can accurately detect the management behavior of teachers. The findings provided valuable insights for exploring classroom teaching patterns and proposing strategies for improving classroom management.