Adaptive learning with real time recommendation system

Abstract

Artificial Intelligence is revolutionizing the education sector and newlinemaking enormous research opportunities day by day Adaptive learning with personalization has the potential to change the education to the next level Several learning platforms developed so far deliver the study materials and just save the learner s recorded data for suggesting the next relevant course But there is not enough attention given to the learning content provided for individual learners In order to provide personalized learning content it is necessary to evaluate the current knowledge state of the learner in that particular subject On this basis a framework of real time personalized adaptive learning has been constructed In this Adaptive Learning Management System every learner/user will be evaluated with a set of questions on the subject which a user wants to learn The user has to attend the questionnaire about that particular chosen subject These questions will be prepared by the subject matter experts in such a deep way that only if the user has already known the subject he/she will be able to answer Based on the given answers the user will be categorized as beginner medium or expert level of knowledge in that subject The beginner categorized user will be recommended with the relevant study material where the advanced expert level of materials will be avoided to show in the user s learning panel newline newline