Analyzing the students' in-class behaviors is able to intuitively reflect their learning states,
which are important for teaching evaluations and for designing instruction. In order to …

In this paper, we design an intelligent student behavior analysis system for recorded
classrooms, which automatically detects hand-raising, standing, and sleeping behaviors of …

Accurately detecting student behavior from classroom videos is beneficial for analyzing their
classroom status and improving teaching efficiency. However, low accuracy in student …

Using deep learning methods to detect students' classroom behavior automatically is a
promising approach for analyzing their class performance and improving teaching …

Detecting students' classroom behaviors from instructional videos is important for
instructional assessment, analyzing students' learning status, and improving teaching …

With the continuous development of the times, intelligent teaching assistance is also
attracting more and more attention in education. The intelligent detection algorithm for …

In recent years, artificial intelligence has been applied in many fields, and education has
attracted more and more attention. More and more behaviour detection and recognition …

For the complication and low speed of traditional human behavior recognition process, a
method of student abnormal behavior recognition in classroom video based on deep …

In this work, we study learning behavior analysis for automatic evaluation of the classroom
teaching. We define five classroom learning behaviors including listen, fatigue, hand-up …

AI and big data analysis for student classroom behavior recognition can be used as auxiliary
means to improve teaching quality. Recognition in classroom scenarios suffers from issues …