A New Generation of Learning Object Repositories Based on Cloud Computing

  • Fernando de la Prieta
  • Javier Bajo
  • Paula Andrea Rodríguez Marín
  • Néstor Darío Duque Méndez
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 220)

Abstract

This work presents a proposal for an architecture based on a cloud computing paradigm that will permit the evolution of current learning resource repositories. This study presents current problems (heterogeneity, interoperability and low performance) of existing repositories, as well as how the proposed model will try to solve them.

Keywords

Learning Object Repository Cloud Computing eLearning 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gil, A.B., Rodríguez, S., de la Prieta, F., De Paz, J.F.: Personalization on E-Content Retrieval Based on Semantic Web Services. International Journal of Computer Information Systems and Industrial Management Applications 5(2013), 243–251 (2010) ISSN 2150-7988Google Scholar
  2. 2.
    Berlanga, A.J., López, C., Morales, E., Peñalvo, F.J.: Consideraciones para reforzar el valor de los metadatos en los objetos de aprendizaje (OA). Salamanca. Universidad de Salamanca. Depto. deInformática y Automática (2005)Google Scholar
  3. 3.
    Dublin Core Metadata Initiative. DCMI Metadata Terms Google Scholar
  4. 4.
    European Committee for standardization – Cen Workshop Agregament. A simple Query Interface Specification for Learning Repositories. Ref. No.: CWA 15454:2005 E (2005) Google Scholar
  5. 5.
    De la Prieta, F., Gil, A., Rodríguez, S., Martín, B.: BRENHET2, A MAS to Facilitate the Reutilization of LOs through Federated Search. Trends in Practical Applications of Agents and Multiagent Systems, 177–184Google Scholar
  6. 6.
    Frango, I., Omar, N., Notargiacomo, P.: Architecture of Learning Objects Repositories. Learning Objects: standards, metadata, repositories & LMS, pp. 131–155 (2007) Google Scholar
  7. 7.
    Frango, I., Omar, N.: Architecture of Learning Objects Repositories. Learning Objects: standards, metadata, repositories & LMS, 131–155 (2007) Google Scholar
  8. 8.
    IEEE Learning Objet Metadata (LOM). Institute of Electrical and Electronics Engineers (2002), http://ltsc.ieee.org
  9. 9.
    IMS Digital Repositories Interoperability. Riley, K., McKell, M., y Mason, J. Core Functions Information Model. Version 1.0 Final Specification (2003) Google Scholar
  10. 10.
    JISC Online Repository for [learning and teaching] Materials (2004) Google Scholar
  11. 11.
    Joint Information System Committee. What is a Digital Repository? Digital Repositories. Helping Universities And Colleges (2010)Google Scholar
  12. 12.
    Lagoze, C., Van de Sompel, H., Nelson, M., Warner, S.: The Open Archives Initiative Protocol for Metadata Harvesting (2002) Google Scholar
  13. 13.
    Mell, P., Grance, T.: The NIST definition of Cloud Computing. In: NIST Special Publication 800-145 (September 2011)Google Scholar
  14. 14.
    Heras, S., De la Prieta, F., Julian, V., Rodríguez, S., Botti, V., Bajo, J., Corchado, J.M.: Agreetment technologies and their use in cloud computing environments. Progress in Artificial Intelligence 1(4) (2012)Google Scholar
  15. 15.
    Simon, B., Massart, D., Van Assche, F., Ternier, S., Duval, E.: Authentication and Session Management. Version 1.0. (2005)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Fernando de la Prieta
    • 1
  • Javier Bajo
    • 2
  • Paula Andrea Rodríguez Marín
    • 3
  • Néstor Darío Duque Méndez
    • 3
  1. 1.Department of Computer Science and Automation ControlUniversity of SalamancaSalamancaSpain
  2. 2.Department of Artificial IntelligenceTechinical University of MadridMadridSpain
  3. 3.National University of ColombiaBogotáColombia

Personalised recommendations