Guiding Learners in Learning Management Systems through Recommendations

Authors:
Olga C. Santos;Jesus G. Boticario
Affiliations:
aDeNu Research Group, Artificial Intelligence Department, UNED, Madrid, Spain 28040;aDeNu Research Group, Artificial Intelligence Department, UNED, Madrid, Spain 28040
Venue:
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Year:
2009

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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.