现代信息科技2026，Vol.10Issue(6)：114-117,4.DOI:10.19850/j.cnki.2096-4706.2026.06.021
基于YOLOv8行为分析的精准教学干预研究
Research on Precision Teaching Intervention Based on YOLOv8 Behavior Analysis
摘要
Abstract
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.关键词
行为分析/YOLOv8/精准教学/课堂参与度Key words
behavior analysis/YOLOv8/precision teaching/classroom engagement分类
信息技术与安全科学引用本文复制引用
胡璐萍,王剑楠,吴哲,臧凯,狄嘉钰..基于YOLOv8行为分析的精准教学干预研究[J].现代信息科技,2026,10(6):114-117,4.基金项目
西安交通工程学院2025年校级教育教学改革项目"高校教师信息技术与教学深度融合的研究与实践"(XJY252035) （XJY252035）
