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Personalized Intelligent Training on the Web: A Multi-Agent Approach

  • Nicola Capuano
  • Massimo De Santo
  • Marco Marsella
  • Mario Molinara
  • Saverio Salerno
Part of the Multimedia Systems and Applications Series book series (MMSA, volume 20)

Abstract

One of the most interesting realm among those ones brought up to success by the development of the Internet is distance learning and training. For this reason, the investigation for adequate architectures and platforms supporting flexible and tailored training solutions is nowadays of great interests in the scientific community. This paper is concerned with the presentation of an original architecture for intelligent distance tutoring which make use of software agents. The way in which the knowledge is represented and stored is discussed together with the ability of our system to manage individual learning paths for different users. The rationale for using Agents is presented and the implementation of the system is discussed.

Keywords

Learn Object Learn Goal Multicast Group Intelligent Tutor System Pedagogical Agent 
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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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Nicola Capuano
    • 1
    • 2
  • Massimo De Santo
    • 3
  • Marco Marsella
    • 1
    • 2
  • Mario Molinara
    • 3
  • Saverio Salerno
    • 1
    • 2
  1. 1.CRMPA, Centro di Ricerca in Matematica Pura ed Applicata c/o DIIMAUniversità degli studi di SalernoItaly
  2. 2.DIIMA, Dipartimento di Ingegneria dell’ Informazione e Matematica ApplicataUniversità degli studi di SalernoItaly
  3. 3.DIIIE, Dipartimento di Ingegneria dell’Informazione e Ingegneria ElettronicaUniversità degli studi di SalernoItaly

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