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Titlebook: Intelligent Tutoring Systems; 7th International Co James C. Lester,Rosa Maria Vicari,Fábio Paraguaçu Conference proceedings 2004 Springer-V

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楼主: DEIFY
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Inducing Optimal Emotional State for Learning in Intelligent Tutoring Systemsd the Naïve Bayes classifier to predict the optimal emotional state according to the personality and then we induce it using a hybrid technique which combines the guided imagery technique, music and images.
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Knowledge Representation Requirements for Intelligent Tutoring Systemsan that of single representations. Another finding is that there is not a hybrid formalism that can satisfy the requirements of all of the modules of an ITS, but each one individually. So, a multi-paradigm representation environment could provide a solution to requirements satisfaction.
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Politeness in Tutoring Dialogs: “Run the Factory, That’s What I’d Do”n an animated pedagogical agent. The work is part of a larger project building a socially intelligent peda-gogical agent able to monitor learner performance and provide socially sensi-tive coaching and feedback at appropriate times. The project builds on the ex-perience gained in realizing several other pedagogical agents.
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