Guiding learners in learning management systems through recommendations

Abstract

In order to support inclusive eLearning scenarios in a personalized way, we propose to use recommenddrs systems to guide learners thorugh their interactions in learning management systems. We have identified several issues to be considered when building a knowledge-based recommender system and propose a user-centered methodology to design and evaluate a recommender system that can be integrated via web services with exiting learning management systems to offer adaptive capabilities. We report some results from a formative evaluation carried out with users receiving recommendations in dotLRN open source eLearning platform. © 2009 Springer Berlin Heidelberg.