Learner Modelling in a Multi-Agent System through Web Services

نویسندگان

  • Katerina Kabassi
  • Maria Virvou
چکیده

This paper describes how a multi-agent, intelligent learning environment can provide adaptive tutoring based on learner modelling through Web Services. The system is called Web F-SMILE and is meant to help novice users learn how to manipulate the file store of their personal computer. The system has assigned an agent, called Learner Modelling (LM) Agent, to constantly observe the user and collect information about him/her. This information is used by other agents in order to provide individualised help and tutoring. The LM Agent interacts with a Learner Modelling Server through Web Services. In this way, each learner model is available to any client application that requests it. The main advantage of this approach is that the application does not have to initialise the learner model every time the user changes the PC s/he uses. Moreover, Web Services allow information to pass through most security systems and thus the reliability of the learner model information is ensured.

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تاریخ انتشار 2003