Promoting strong personalization in content-based recommendation systems of learning objects | Personalización en recomendadores basados en contenido y su aplicación a repositorios de objetos de aprendizaje. Ruiz-Iniesta, A., Jiménez-Díaz, G., & Gómez-Albarrán, M. Revista Iberoamericana de Tecnologias del Aprendizaje, 5(1):31-38, 2010.
abstract   bibtex   
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 © IEEE.
@article{
 title = {Promoting strong personalization in content-based recommendation systems of learning objects | Personalización en recomendadores basados en contenido y su aplicación a repositorios de objetos de aprendizaje},
 type = {article},
 year = {2010},
 identifiers = {[object Object]},
 keywords = {Content-based Recommenders,Learning Objects,Personalization},
 pages = {31-38},
 volume = {5},
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 created = {2016-05-12T09:12:12.000Z},
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 last_modified = {2018-02-26T11:15:19.390Z},
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 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 © IEEE.},
 bibtype = {article},
 author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},
 journal = {Revista Iberoamericana de Tecnologias del Aprendizaje},
 number = {1}
}

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