Skip to main content

A Model to Aggregate Heterogeneous Learning Objects Repositories

  • Conference paper
  • First Online:
  • 1112 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 722))

Abstract

Technology has increasingly permeated the educational context making the use of learning objects (LOs) very popular. LOs need to be stored and cataloged so they can be located and retrieved in an efficient manner by both students and teachers. Furthermore, the objects collected in different repositories must be examined individually in order to select which ones best match the user’s needs. The main goal of this work is to propose a model that, prepared to the Web 3.0, enables LO to be used, reused or adapted from heterogeneous environments. To reach this goal the creation of a LO federation is proposed in order to organize various repositories in a hierarchical system. We describe how these objects can be harvested, indexed and retrieved by users from different standard repositories and how to present them to users in different devices. The system was able to index more than 100 thousand Los.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1_Final_Draft.pdf.

  2. 2.

    https://standards.ieee.org/findstds/standard/1484.12.1-2002.html.

  3. 3.

    https://www.imsglobal.org/activity/accessibility.

  4. 4.

    http://www.openarchives.org/OAI/openarchivesprotocol.html.

References

  1. Nash, S.: Learning objects, learning object repositories, and learning theory: preliminary best practices for online courses. Interdisc. J. E-Learn. Learn. Objects 1(1), 217–228 (2005)

    Google Scholar 

  2. Neven, F., Duval, E.: Reusable learning objects: a survey of LOM-based repositories. In: Proceedings of the Tenth ACM International Conference on Multimedia. ACM (2002)

    Google Scholar 

  3. Heery, R., Anderson, S.: Digital Repositories Review (2005)

    Google Scholar 

  4. Matkin, G.: Learning Object Repositories: Problems and Promise. The William and Flora Hewlett Foundation, Menlo Park (2002)

    Google Scholar 

  5. Dicheva, D., Dichev, C.: Finding open educational resources in computing. In: 2014 IEEE 14th International Conference on ICALT, pp. 22–24. IEEE (2014)

    Google Scholar 

  6. Shih, W.-C.: A framework of educational app repositories with recommendation powered by social tag mining. In: 2014 International Conference on Information Science and Applications (ICISA), pp. 1–3. IEEE (2014)

    Google Scholar 

  7. Van Acker, F., et al.: The role of knowledge sharing self-efficacy in sharing open educational resources. Comput. Hum. Behav. 39, 136–144 (2014)

    Article  Google Scholar 

  8. Nicholson, D.: LibGuides: Open Educational Resources for Humanities & Social Sciences: Inst’l Repositories/Digital Libraries (2014)

    Google Scholar 

  9. Atenas, J., Havemann, L.: Questions of quality in repositories of open educational resources: a literature review. Res. Learn. Technol. 22, 1–13 (2014)

    Article  Google Scholar 

  10. Clements, K., et al.: Why open educational resources repositories fail-review of quality assurance approaches. In: Proceedings of 6th International Conference on Education and New Learning Technologies Barcelona, EDULEARN 2014, Spain, pp. 929–939. IATED (2014). ISBN 978-84-617-0557-3

    Google Scholar 

  11. Rezaei, R., Chiew, T.-K., Lee, S.-P.: A review of interoperability assessment models. J. Zhejiang Univ. Sci. C 14(9), 663–681 (2013)

    Article  Google Scholar 

  12. Ashton, K.: That ‘internet of things’ thing. RFiD J. 22(7), 97–114 (2009)

    Google Scholar 

  13. Warner, S., et al.: Pathways: augmenting interoperability across scholarly repositories. Int. J. Digit. Libr. 7(1–2), 35–52 (2007)

    Article  Google Scholar 

  14. Vicari, R.M., Ribeiro, A., Silva, J.M.C., Santos, E.R., Primo, T., Bez, M.: Brazilian proposal for agent-based learning objects metadata standard - OBAA. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds.) MTSR 2010. CCIS, vol. 108, pp. 300–311. Springer, Heidelberg (2010). doi:10.1007/978-3-642-16552-8_27

    Chapter  Google Scholar 

  15. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284.5, 28–37 (2001)

    Google Scholar 

  16. Wiley, D.: Connecting learning objects to instructional design theory: a definition, a metaphor, and taxonomy (2001). www.reusability.org/read/chapters/wiley.doc

  17. W3C: Mobile Web Best Practices 1.0, Basic Guidelines. W3C Recommendation (2008). http://www.w3.org/TR/mobile-bp/. Accessed Feb 2016

  18. McClelland, M.: Metadata standards for educational resources. Computer 36(11), 107–109 (2003)

    Article  Google Scholar 

  19. Chan, L.M., Zeng, M.L.: Metadata interoperability and standardization-a study of methodology, part i. D-Lib Mag. 12(6), 1082–9873 (2006)

    Google Scholar 

  20. W3C Standards: XSL Transformations (XSLT). http://www.w3.org/TR/1999/REC-xslt-19991116. Accessed 12 June 2013

  21. Moreno, I., Argudo, F.C.: Proyecto Arca, Federación de metadatos sobre contenidos multimedia y retransmisiones programadas. http://arca.rediris.es/

  22. Lagoze, C., et al.: Core services in the architecture of the national digital library for science education (NSDL). In: JCDL (2002)

    Google Scholar 

  23. Bisquerra, R.J.C., Sarriera, F.: Martínez, “Introdução à estatística: enfoque informático coo pacote estatístico” SPSS. Artmed, Porto Alegre (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luiz Henrique Longhi Rossi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Rossi, L.H.L., Nunes, M.F., Schreiner, P., Vicari, R.M. (2017). A Model to Aggregate Heterogeneous Learning Objects Repositories. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60285-1_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60284-4

  • Online ISBN: 978-3-319-60285-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics