基于视频的学生课堂行为分析研究

Research on Video Based Analysis of Students’ Classroom Behavior

随着计算机视觉及人工智能技术的不断发展和学生个性化教育要求的提高,分析教室环境中学生的学习行为成为了研究热点。对于传统教学方式,教师教学过程中需时刻关注学生的学习状态,严重影响上课质量。文章通过处理汉江师范学院教室视频数据,采用基于随机森林的分类算法自动分析学生课堂行为,辅助教师开展课堂教学活动。

With the continuous development of computer vision and artificial intelligence technology and the continuous improvement of students’ personalized education requirements, the analysis of students’ learning behavior in classroom environment has become a research hotspot. In traditional teaching methods, teachers should pay attention to students’ learning status while giving lectures, which seriously affects the quality of classes. In this paper, based on the processing of classroom video data of Hanjiang Normal University, the classification algorithm based on random forest is used to automatically analyze students’ classroom behavior and assist teachers to carry out classroom teaching activities.