Automated Enhanced Learning System using IOT

In current scenario engineering students are facing problems in grasping the subjects, henceforth level and quality of education is regularly declining. One of the probable cause of this decline in quality of education is students are not able to understand and comprehend the subject. A solution to this problem is proposed in this paper. It is based on the theory of three preferential learning style of an individual namely visual, auditory and kinesthetic (VAK Theory). So the present approach is based on classifying the students based on their learning styles and allotting them assignments as per their preferential learning styles accordingly. The proposed system put forwards an IOT based system which will automatically categorize students, keep the record of their performance, assignment, submission history etc. This will help in reducing manpower of faculty member and enhance the performance of students from 5 to 42 % by custom designing activities as per the innate learning style.