An adaptive intelligent recommendation scheme for smart learning contents management systems

Abstract

This study aims to provide personalized contents recommendation services depending on a learner's learning stage and learning level in the learning management system using open courses. The intelligent recommendation system proposed in this study selects similar neighboring groups by performing user-based collaborative filtering process and recommends phased learning contents by using prior knowledge information between contents and considering the relevance and levels of learning contents. The proposed learning contents recommendation is applied flexibly according to a user's learning situation and situation-specific contents recommendation link is created by performing the intelligent learning process of recommendation system. This service allows a variety of industrial classification learners using open course to effectively choose more accurate curriculum. © 2013 Springer Science+Business Media Dordrecht(Outside the USA).