Intelligent Learning Objects: An Agent Approach to Create Reusable Intelligent Learning Environments with Learning Objects

  • Ricardo Azambuja Silveira
  • Eduardo Rodrigues Gomes
  • Rosa Maria Viccari
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4140)


The possibility of reusing learning material is very important to designing learning environments for real-life learning. The reusability of learning material is based on three main features: modularity, discoverability and interoperability. Several researchers on Intelligent Learning Environments have proposed the use of Artificial Intelligence through architectures based on agent societies. Teaching systems based on Multi-Agent architectures make it possible to support the development of more interactive and adaptable systems. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the ILO approach can be used to improve the interoperability between learning objects and pedagogical agents. It presents the ILO Agent’s communication mechanism and a case study.


Learn Object Learn Management System Intelligent Tutor System Pedagogical Agent Agent Approach 


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  1. 1.
    Advanced Distributed Learning (ADL). Sharable Content Object Reference Model (SCORM ® ) 2004 Overview (2004), retrieved July 7, 2005 from
  2. 2.
    ARIADNE Alliance of remote instructional authoring & distribution networks for Europe (2004), retrieved July 7, 2005,
  3. 3.
    Bradshaw, J.M.: An introduction to software agents. In: Bradshaw, J.M. (ed.) Software Agents. MIT Press, Massachusetts (1997)Google Scholar
  4. 4.
    CanCore - Canadian Core About (2004), Retrieved from July 7, 2005,
  5. 5.
    Downes, S.: Learning objects: resources for distance education worldwide. In: International Review of Research in Open and Distance Learning 2(1) (2001)Google Scholar
  6. 6.
    EMORPHIA. FIPA-OS - FIPA - Open Source (2005), retrieved September 19, 2005 from,
  7. 7.
    FIPA: The foundation for Intelligent Physical Agents. Specifications (2002) retrieved July 7, 2005,
  8. 8.
    Friesen, N.: What are Educational Objects? Interactive Learning Environments 3(9)Google Scholar
  9. 9.
    IEEE Learning Technology Standards Committee (2004); Specifications (2001), retrieved fromJuly 7, 2005,
  10. 10.
    IMS Global Learning Consortium. Current specifications. /specifications.cfm (2004), retrieved from July 7, 2005,
  11. 11.
    Jaques, P.A., et al.: An Animated Pedagogical Agent that Interacts Affectively with the Student. In: Shaping the future of learning through intelligent technologies, AIED 2003, Sydney, Australia (2003)Google Scholar
  12. 12.
    Johnson, W.L., Shaw, E.: Using agents to overcome deficiencies in web-based courseware. In: World Conference on Artificial Intelligence in Education, AI-ED, 8. 1997. Proceedings (1997), retrieved from July 7, 2005,
  13. 13.
    Lucas, J.P., Widges, B., Silveira, R.A.: Inserting Animated Pedagogical Agents Inside Distributed Learning Environments by Means of FIPA Specifications. In: Fourth International Joint Conference on Autonomous Agents & Multiagents Systems (AAMAS) – Proceedings of Agent-Based Systems for Human learning Workshop (ABSHL) 2005, Utrecht (2005)Google Scholar
  14. 14.
    Mohan, P., Brooks, C.: Engineering a Future for Web-based Learning Objects. In: Proceedings of International Conference on Web Engineering, Oviedo, Asturias, Spain (2003)Google Scholar
  15. 15.
    Sosteric, M., Hesmeier, S.: When is a Learning Object not an Object: A first step towards a theory of learning objects. In: International Review of Research in Open and Distance Learning (2002) ISSN: 1492-3831Google Scholar
  16. 16.
    Silveira, R.A., Vicari, R.M.: Developing Distributed Intelligent Learning Environment with JADE - Java Agents for Distance Education Framework. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 105–118. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  17. 17.
    Silveira, R.A., Gomes, E.R., Vicari, R.M.: Inteligent Learning Objects: An Agent-Based Approach of Learning Objects. In: Weert, Tom Van, Tatnall, Arthur, (eds.) Information and Communication Technologies and Real-Life Learning, pp. 1103–1110. Springer, Boston (2005)Google Scholar
  18. 18.
    Wooldridge, M., Jennings, N.R., Kinny, D.: A methodology for agent-oriented analysis and design. In: Proceedings of International Conference on Autonomous Agent AAMAS, vol. 3 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ricardo Azambuja Silveira
    • 1
  • Eduardo Rodrigues Gomes
    • 2
  • Rosa Maria Viccari
    • 2
  1. 1.Universidade Federal de Santa CatarinaFlorianópolisBrazil
  2. 2.Universidade Federal do Rio Grande do SulPorto AlegreBrazil

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