Intelligent Analysis System of Learning Situation in Class Based on Behavior Recognition

In the context of educational informationization, various artificial intelligence and information technologies are widely used in educational reform and teaching practice. Among them, the intelligent identification and big data analysis systems based on student behaviors in class are very meaningful. This paper establishes a learning situation analysis and quality assessment system on the basis of target detection and behavior recognition under class scenarios, and the quality indicators of the degree of positivity and the degree of negativity are defined to achieve a systematic and quantitative assessment of the participatory status of students in class. The application of this system can provide necessary technical supports for individualized learning of students, effective organization and efficient management of teaching.