This paper presents a prospective look into the current phase of internet-based training and learning and extrapolating what could be the trends into the future by analyzing the present data in online learning. We will show our research can be used in learning and training and can aptly be applied to industrial training assessments. Firstly, we will point out as what is the present state of learning. Secondly, we will be able to show as how machine learning algorithm for Individuals will aid in understanding their attentiveness with cognitive physiology. Thirdly, we will be able to show as how randomness of audio and visual displays during larger gathering can help presenter / teacher understand better state of attendees as a feedback system.

Machine learning, Cognitive physiology, Online Teaching, Video lectures, Attentiveness, Online, E-Learning, Satisfaction, Student