A Recommender System for Collaborative Knowledge

Authors:
Weiqin Chen;Ricard Persen
Affiliations:
Department of Information Science and Media Studies, University of Bergen, Norway;Department of Information Science and Media Studies, University of Bergen, Norway
Venue:
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Year:
2009

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Abstract

To provide recommendations of learning objects and adaptive learning support has been one of the main areas within the AIED community. Learner-generated material could potentially be valuable as learning resources. How to identify relevant learner-generated resources and provide just-in-time recommendations to the learner is a challenging task. This paper presents a recommender system that can recommend collaborative knowledge constructed and accumulated by previous learners.