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A semantically enriched context-aware OER recommendation strategy and Its application to a computer science OER repository / Almudena Ruiz-Iniesta in IEEE transactions on education, Vol. 57 N° 4 (Novembre 2014) 

Public ISBD [article]  in IEEE transactions on education > Vol. 57 N° 4 (Novembre 2014) . - pp. 255 - 260 Titre : A semantically enriched context-aware OER recommendation strategy and Its application to a computer science OER repository Type de document : texte imprimé Auteurs : Almudena Ruiz-Iniesta, Auteur ; Guillermo Jimenez-Diaz, Auteur ; Mercedes Gomez-Albarran, Auteur Année de publication : 2015 Article en page(s) : pp. 255 - 260 Note générale : Education Langues : Anglais (eng) Mots-clés : Computer  science  repositories  Knowledge-based  recommender  systems  Open  education  Users'  experience Résumé : This paper describes a knowledge-based strategy for recommending educational resources-worked problems, exercises, quiz questions, and lecture notes-to learners in the first two courses in the introductory sequence of a computer science major (CS1 and CS2). The goal of the recommendation strategy is to provide support for personalized access to the resources that exist in open educational repositories. The strategy uses: 1) a description of the resources based on metadata standards enriched by ontology-based semantic indexing, and 2) contextual information about the user (her knowledge of that particular field of learning). The results of an experimental analysis of the strategy's performance are presented. These demonstrate that the proposed strategy offers a high level of personalization and can be adapted to the user. An application of the strategy to a repository of computer science open educational resources was well received by both educators and students and had promising effects on the student performance and dropout rates. ISSN : 0018-9359 En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6774489&sortType%3Das [...] [article] A semantically enriched context-aware OER recommendation strategy and Its application to a computer science OER repository [texte imprimé] / Almudena Ruiz-Iniesta, Auteur ; Guillermo Jimenez-Diaz, Auteur ; Mercedes Gomez-Albarran, Auteur . - 2015 . - pp. 255 - 260. Education Langues : Anglais (eng) in IEEE transactions on education > Vol. 57 N° 4 (Novembre 2014) . - pp. 255 - 260 Mots-clés : Computer  science  repositories  Knowledge-based  recommender  systems  Open  education  Users'  experience Résumé : This paper describes a knowledge-based strategy for recommending educational resources-worked problems, exercises, quiz questions, and lecture notes-to learners in the first two courses in the introductory sequence of a computer science major (CS1 and CS2). The goal of the recommendation strategy is to provide support for personalized access to the resources that exist in open educational repositories. The strategy uses: 1) a description of the resources based on metadata standards enriched by ontology-based semantic indexing, and 2) contextual information about the user (her knowledge of that particular field of learning). The results of an experimental analysis of the strategy's performance are presented. These demonstrate that the proposed strategy offers a high level of personalization and can be adapted to the user. An application of the strategy to a repository of computer science open educational resources was well received by both educators and students and had promising effects on the student performance and dropout rates. ISSN : 0018-9359 En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6774489&sortType%3Das [...]