Student’s Feedback by emotion and speech recognition through Deep Learning

Student’s learning is very important part and definitely it is require that student’s attentiveness during learning is very much required. This is possible only when a teacher teaching in the class identifies. But, Time changed many things; COVID19 takes an educational system to a new turn. During online class interaction of teachers and students has became very weak in comparison with face to face learning. The only way to understand student’s attention in class is by their speech and facial expressions emotion’s recognition. Success may be achieved through driving the learner’s attention during online class. In this paper, an innovative approach for video/ image analysis for real time facial expressions is developed, so as to recognize the quality of understanding and active involvement of the attendees in learning and teaching process. This study will help to improve the quality of services in various teaching, trainings, mentoring and consultation which improve and act as a solution to normal feedback procedure of pen and paper method. This system will help both teachers and learners to improve their way of teaching and learning through calculated Concentration Index.