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Using Learning Objects Features to Promote Reusability of Pedagogical Agents

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Intelligent Tutoring Systems (ITS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4053))

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Abstract

The Learning Object idea is based on the premise that the reuse of learning material is very important for designing learning environments. The reusability of learning objects results from the product of three main features: modularity, discoverability and interoperability. In this paper we discuss how these features can be useful when added to pedagogical agents. This approach considers learning objects built according to agent architectures: the Intelligent Learning Objects approach.

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References

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Author information

Authors and Affiliations

  1. Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 9500 – Campus do, Vale Bloco IV, Porto Alegre, RS, Brazil

    Eduardo Rodrigues Gomes & Rosa Maria Vicari

  2. Universidade Federal de Santa Catarina, Campus Universitário, s/nº, Caixa Postal 476, Florianópolis, SC, Brazil

    Ricardo Azambuja Silveira

Authors
  1. Eduardo Rodrigues Gomes
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  2. Ricardo Azambuja Silveira
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  3. Rosa Maria Vicari
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Editor information

Editors and Affiliations

  1. JAIST, 1-1, Asahi-dai, Nomi, 923-1292, Ishikawa, Japan

    Mitsuru Ikeda

  2. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA

    Kevin D. Ashley

  3. Graduate Institute of Network Learning Technology, National Central University, 300, Jhongda Rd., 32001, Jhongli City,Taoyuan County, Taiwan

    Tak-Wai Chan

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© 2006 Springer-Verlag Berlin Heidelberg

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Gomes, E.R., Silveira, R.A., Vicari, R.M. (2006). Using Learning Objects Features to Promote Reusability of Pedagogical Agents. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_94

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  • DOI: https://doi.org/10.1007/11774303_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35159-7

  • Online ISBN: 978-3-540-35160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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