Skip to main content
SpringerLink
Log in
Book cover

International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2016: Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection pp 428–434Cite as

ILOMAS: An Intelligent Learning Objects Implementation Study Case

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 616))

Abstract

This paper presents the implementation and evaluation of ILOMAS, an architectural model designed to select Learning Objects (LO) for e-learning, based on multi-agent systems. The proposed model extends the Intelligent Learning Objects approach through the use of a BDI agent architecture, allowing the communication with the instructional resources that constitute the LO according to the SCORM standard. A prototype implementation is presented to evaluate the proposed model.

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

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

References

  1. Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn. Wiley, Chichester (2009)

    Google Scholar 

  2. Silveira, R., Gomes, E., Vicari, R.: Intelligent Learning Objects: An Agent-Based Approach of Learning Objects. In: IFIP – International Federation for Information Processing, vol. 182, pp. 103–110. Springer-Verlag (2006)

    Google Scholar 

  3. Silva, J., Silveira, R.: The development of intelligent learning objects with an ontology based on SCORM standard. In: Seventh International Conference on Intelligent Systems Design and Applications, pp. 211–216. IEEE (2007)

    Google Scholar 

  4. Pokahr, A., Braubach, L., Haubeck, C., Ladiges, J.: Programming BDI agents with pure Java. In: Müller, J.P., Weyrich, M., Bazzan, A.L. (eds.) MATES 2014. LNCS, vol. 8732, pp. 216–233. Springer, Heidelberg (2014)

    Google Scholar 

  5. Pokahr, A., Braubach, L., Jander, K.: The Jadex project: programming model. In: Distributed Systems and Information Systems, Chap. 1, pp. 1–34. University of Hamburg (2012)

    Google Scholar 

  6. JADEX. http://www.activecomponents.org/bin/view/About/Features

  7. Prometheus Design Tool (Eclipse Plug-in). https://code.google.com/p/pdt-plugin/

  8. Braubach, L., Pokahr, A.: Jadex Active Components Framework – BDI Agents for Disaster Rescue Coordination. University of Hamburg (2011)

    Google Scholar 

  9. Braubach, L., Pokahr, A.: Developing Distributed Systems with Active Components and JADEX. University of Hamburg (2012)

    Google Scholar 

  10. SCORM 2004. Advanced Distributed Learning. http://www.adlnet.org/scorm

  11. de Amorim Jr., J., Silveira, R.A.: Dynamic selection of learning objects based on SCORM communication. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds.) EPIA 2015. LNCS, vol. 9273, pp. 658–663. Springer, Heidelberg (2015)

    Google Scholar 

  12. de Amorim Jr., J., Gelaim, T.Â., Silveira, R.A.: Dynamic e-learning content selection with BDI agents. In: Bajo, J., Hallenborg, K., Pawlewski, P., Botti, V., Sánchez-Pi, N., Duque Méndez, N.D., Lopes, F., Vicente, J. (eds.) PAAMS 2015 Workshops. CCIS, vol. 524, pp. 299–308. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. PPGCC – UFSC, Florianópolis, Brazil

    João de Amorim Jr. & Ricardo Azambuja Silveira

Authors
  1. João de Amorim Jr.
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ricardo Azambuja Silveira
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ricardo Azambuja Silveira .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Universidad de Sevilla, Sevilla, Spain

    María José Escalona

  3. Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Canada

    Sylvain Giroux

  4. University of Poznan, Poznan, Poland

    Patrycja Hoffa-Dąbrowska

  5. Universidad Politécnica de Valencia, Valencia, Spain

    Vicente Julián

  6. Department of Informatics, Universidade do Minho, Braga, Portugal

    Paulo Novais

  7. Fluminense Federal University, Rio de Janeiro, Brazil

    Nayat Sánchez-Pi

  8. Inst. Comp. Sci. & Bus. Info. Sys. (ICB), University of Duisburg-Essen, Essen, Nordrhein-Westfalen, Germany

    Rainer Unland

  9. Departamento de Informática e Estatístic, Universidade Federal de Santa Catarina, Florianópolis S.C.,, Brazil

    Ricardo Azambuja-Silveira

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

de Amorim, J., Silveira, R.A. (2016). ILOMAS: An Intelligent Learning Objects Implementation Study Case. In: Bajo, J., et al. Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. PAAMS 2016. Communications in Computer and Information Science, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-39387-2_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39387-2_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39386-5

  • Online ISBN: 978-3-319-39387-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation