Semblance Unmasker: Hidden Emotion Recognition Using Deep Learning Approach

Emotion-aware systems have emerged as critical tools in the field of e-learning, aiming to address prevalent challenges such as low student self-esteem, high dropout rates, lack of motivation and engagement, self-regulation, and task performance. Customizing the educational experience for each learner requires the use of machine learning and deep learning techniques. The development of a machine learning model that can predict the mood or attitude of a group of students or a single student is recommended in order to assist teachers in responding properly. By adding emotional intelligence with educational technology, it is feasible to run cost-effective training programs while simultaneously significantly raising the quality of remote learning. It has been noted that emotion-aware systems have the potential to increase the effectiveness of online learning, and it has been recommended that further research and development be done on these systems.