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A. Ruíz Iniesta
A. Ruíz Iniesta, G. Jiménez Díaz y M. Gómez Albarrán
Volumen 5, Número 1 Pags. 31-38
Title- Promoting Strong Personalization in Content-based Recommendation Systems of Learning Objects.
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 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.
Index Terms- Personalization, Content-based Recommenders, Learning Objects
M. Gómez Albarrán, M.A. Gómez Martín, A. Díaz Esteban, L. Hernández Yáñez y A. Ruíz Iniesta
Volumen 6, Número 2 Pags. 80-86
Title- Experiences with Institutional Repositories of Educational Resources: From Free Access to Knowledge Controlled Learning Paths
Abstract- The Virtual Campus of the Complutense University of Madrid has been used to deploy an institutional repository of educational resources that promotes the active learning of CS1-liked subjects. This paper presents the evolution of this repository, from a first version where students could freely access to any resource to a more sophisticated version where the access to resources is guided by the knowledge of the student.
Index Terms- Active Learning, Computer Aided Instruction, Computer Science Education, Educational Web Repositories.