E-Learning Environment Based Intelligent Profiling System for Enhancing User Adaptation

Online learning systems have expanded significantly over the last couple of years. Massive Open Courses (MOOCs) become a major trend on internet. During COVID-19 pandemic, count learner enrolment has increased in various MOOC platforms like Coursera, Udemy, Swayam, Udacity, FutureLearn, NPTEL, Khan Academy, EdX, SWAYAM, etc. These offer multiple courses, and it is difficult for online learners to choose suitable course as per their requirements. In order improve this e-learning education environment reduce drop-out ratio, will need system which all platform’s offered courses are compared recommended, according needs learner. So, there create learner’s profile analyze so many fulfill educational learners. To develop or user, three input parameters considered: personal details, knowledge level. Along with these parameters, can also user profiles by uploading CVs LinkedIn. paper, innovation implement interface-based intelligent profiling enhancing adaptation feedback be received from recommended user/learners’ preferences.