Smart E-Classroom

Abstract

To overcome the difficulties posed by more traditional and conventional learning methods, more and more organizations and institute are turning to e-learning to offer their employees an effective means of increasing their knowledge and understanding. E-learning offers organizations/institute the ability to deliver education independent of time and place. One of the major disadvantages of e-learning is it being monotonous which is the main reason of candidate lacking their interest during the e-learning courses, and hurdle e-learning in achieving its desire result (satisfaction) from candidates. In this paper we are trying to propose an attention analysis model to track and maintain the attention level of candidate, this system will concentrate on the ability of human non-verbal communication consisting of body posture, gestures, facial expressions, and eye movements, the value of these behaviour of every candidate is uncertain w.r.t. to time, and to solve this uncertainty we proposed to use Fuzzy logic. This system will also notify the lecturer, to give break when most of the candidates in the class are showing inattentiveness in lectures.