Abstract
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 architectures based on agent societies. Learning systems based on Multi-Agent architectures support the development of more interactive and adaptable systems and the Learning Objects approach gives reusability. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the Intelligent Learning Objects approach can be used to improve the interoperability between learning objects and pedagogical agents.
Keywords
- Learn Object
- Multiagent System
- Learn Management System
- Metadata Information
- Agent Communication Language
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2006 International Federation for Information Processing
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Silveira, R.A., Gomes, E.R., Vicari, R. (2006). Improving Interoperability Among Learning Objects Using FIPA Agent Communication Framework. In: Debenham, J. (eds) Professional Practice in Artificial Intelligence. IFIP WCC TC12 2006. IFIP International Federation for Information Processing, vol 218. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34749-3_6
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DOI: https://doi.org/10.1007/978-0-387-34749-3_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-34655-7
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