Applications of AIGC Technology Based on Deep Learning in Abnormal Learning Behavior Detection of Students

With the rapid development of artificial intelligence technology, the application of AIGC technology based on deep learning in the field of education has gradually attracted attention, especially in the detection of abnormal learning behavior of students. Video analysis technology has been more and more used in video surveillance and other fields. In order to effectively monitor and manage the students' listening situation, the project constructs an auxiliary teaching management system to detect and count students' abnormal behavior in class. This paper first analyzes the advantages of deep learning blended teaching based on artificial intelligence, emphasizing the characteristics of personalized learning experience, efficient teaching interaction and flexible learning resources. Then, it discusses the common problems in students' learning behavior under deep learning, such as the deviation of learning objectives and the application materials of learning behavior. Finally, the application of AIGC technology in abnormal detection of students' learning behavior is introduced, and the effectiveness of face recognition and behavior recognition algorithm in teaching is analyzed with specific cases.