Research on the impact of pointing gestures based on computer vision technology on classroom concentration

Research on the impact of pointing gestures based on computer vision technology on classroom concentration

연구 분야: Artificial Intelligence

학회: Neural Computing and Applications

Classroom concentration is an essential manifestation of learners’ engagement in the classroom, and it is a critical factor in adjusting learning states and optimizing teaching processes. A thorough exploration of the factors that affect classroom concentration and their effects is of great significance for enhancing it. This study proposes a classroom concentration recognition model by integrating the two dimensions of emotional and behavioral concentration using computer vision technology. The model’s effectiveness in recognizing classroom concentration is verified through a comparative experiment with EEG equipment. Based on this model, this study further investigates the impact of teachers’ pointing gestures on learners’ classroom concentration. The results of ANOVA show that when teachers use pointing gestures, they can improve learners’ concentration in class in a short time, but this positive effect has boundary effects. Our research results can help improve teachers’ teaching behaviors and enhance learners’ learning effects to some extent.