User-Adaptive Recommendation Techniques in Repositories of Learning Objects: Combining Long-Term and Short-Term Learning Goals

Authors:
Almudena Ruiz-Iniesta;Guillermo Jiménez-Díaz;Mercedes Gómez-Albarrán
Affiliations:
Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain 28040;Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain 28040;Facultad de Informática, Universidad Complutense de Madrid, 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 this paper we describe a novel approach that fosters a strong personalized content-based recommendation of LOs. It gives priority to those LOs that are most similar to the student's short-term learning goals (the concepts that the student wants to learn in the session) and, at the same time, have a high pedagogical utility in the light of the student's cognitive state (long-term learning goals). The paper includes the definition of a flexible metric that combines the similarity with the query and the pedagogical utility of the LO.