Inproceedings,
User-adaptive Recommendation Techniques in Repositories of Learning Objects: Combining Long-term and Short-term Learning Goals
Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009, volume 5794 of Lecture Notes in Computer Science, Berlin/Heidelberg, Springer, (October 2009)
Abstract
Recommendation technologies have a clear application in e-learning: providing support for personalized access to the Learning Objects (LOs) that exist in repositories. In this paper we describe a novel approach that fosters a strong personalized content-based recommendation of LOs. This approach extends and improves the weak personalized content-based recommendation strategy that we have explored in web-based repositories. The new content-based recommendation model 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. We finally describe the application of the approach to an educational repository of Computer Programming LOs.
