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Title: Improving Searching and Browsing Capabilities of Learning Object Repositories
Authors: Minguillón Alfonso, Julià
Conesa Caralt, Jordi
Rodríguez González, M. Elena
Keywords: Learning Object Repositories
Recommendation Systems
Collaborative Filtering
Issue Date: 1-Jul-2011
Type: Part or chapter of book
Citation: Minguillón, J.; Rodríguez, M. E.; Conesa, J.(2011). "Improving Searching and Browsing Capabilities of Learning Object Repositories". A: Proceedings of the International Workshop on Personalization Approaches in Learning Environments. Págs. 30 - 35.
Abstract: Learning object repositories are a basic piece of virtual learning environments used for content management. Nevertheless, learning objects have special characteristics that make traditional solutions for content management ine ective. In particular, browsing and searching for learning objects cannot be based on the typical authoritative meta-data used for describing content, such as author, title or publication date, among others. We propose to build a social layer on top of a learning object repository, providing nal users with additional services for describing, rating and curating learning objects from a teaching perspective. All these interactions among users, services and resources can be captured and further analyzed, so both browsing and searching can be personalized according to user pro le and the educational context, helping users to nd the most valuable resources for their learning process. In this paper we propose to use reputation schemes and collaborative filtering techniques for improving the user interface of a DSpace based learning object repository.
Language: eng
Appears in Collections:Parts of books or chapters of books

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