基于YOLOv8行为分析的精准教学干预研究OA

There are key problems in the teaching of Descriptive Geometry and Mechanical Drawing course,which are the difficulty in perceiving students'cognitive state and the lag in teaching intervention.This study introduces a classroom behavior analysis system based on YOLOv8,constructs a refined dataset covering six types of classroom behaviors:hand raising,reading,writing,mobile phone using,head bowing and lying on the desk,trains and optimizes the model,realizes real-time non-intrusive monitoring and analysis of students'classroom participation status,achieves data-driven precision teaching,and verifies its key role in improving the actual teaching effect through quantification.