Titlebook: Intelligent Tutoring Systems; 5th International Co Gilles Gauthier,Claude Frasson,Kurt VanLehn Conference proceedings 2000 Springer-Verlag

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Andes: A Coached Problem Solving Environment for Physicsties for learning and minimize the amount of time spent going down wrong paths, and (4) give the student flexibility in the order in which actions are performed, and allow them to skip steps when appropriate. This paper gives an overview of Andes, focusing on the overall architecture and the student’s experience using the system.

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Infrastructure for Future Network Learningor concepts converge. For example, within this infrastructure, the roles and implications of terms such as handheld computers, wireless and mobile communication, broadband network, project-based learning, intelligent educational agents in the future network learning can be more intelligible.

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A Collection of Pedagogical Agents for Intelligent Educational Systemsent-oriented model should both facilitate the implementation of the tutoring knowledge in an intelligent educational system and help improve the student’s comprehension through better pedagogical interactions.

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: A Decision-TheoreticDynamic Approach for Optimal Selection of Tutorial Actionsrational and interesting tutorial actions for real-world-sized problems in satisfactory response time. The tutor does not yet have a suitable user interface, so it has not been evaluated with human students.

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Should I Teach My Computer Peer? Some Issues in Teaching a Learning Companione capable companion (strong). Finally, the experiment also suggested that learning companions might be confusing for students if they try to resemble human behaviour, i.e. if they do not perform as they are told.

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