In recent years, the teaching-learning process has been changing from face-to-face to virtual mode, this process was significantly accelerated by the pandemic caused by COVID-19, where the classroom was virtualized at all educational levels to world level. The present objective was to identify the emotional state that students have in the virtual classroom to allow the teacher to improve their teaching-learning strategies in real time, as a methodology an application in artificial intelligence with neural networks was proposed that allows capturing the state of the students in the classroom by webcam. The results obtained allow to determine the states of the group so that the teacher can perceive the sensation inside the classroom at the time of the class and thus improve their strategies, concluding that it is an efficient form of continuous improvement for the processes of active learning within the classroom