Emotion recognition for enhanced learning: using AI to detect students’ emotions and adjust teaching methods

Abstract The integration of artificial intelligence in educational environments has the potential to revolutionize teaching and learning by enabling real-time analysis of students’ emotions, which are crucial determinants of engagement, motivation, and learning outcomes. However, accurately detecting and responding to these emotions remains a significant challenge, particularly in online and remote learning settings where direct teacher-student interactions are limited. Traditional educational approaches often fail to account for the emotional states of students, which can lead to disengagement and reduced learning effectiveness. The current study addresses this problem by developing a refined convolutional…