Agent model and and its implementation on a computer for monitering of learner's active behavior

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Since it gets important to educate original and creative abilities, recently we have to set up learning environment to excite learner's activity for self-learning. Almost all e-Learning work to manage and deliver mechanically teaching materials or streaming of lecture video, which are waiting to be accessed by learners. The target of this research is to implement the e-Learning that excites and leads actively a learner to get active learning. In this research, we developed monitoring method to observe learner's active learning action, designed mathematical model of learning assisted model, and tried to implement the active e-Learning.In 2005, we designed man-machine interface panel and databases for monitoring an environment of computer supported self-learning. In 2006, we developed an evaluation method of learner's intelligent abilities with computer games. A player plays several computer games. We analyze the action data of game playing to evaluate the player's intelligent abilities. In 2007, in order to design a model of students' active learning behavior, we had an extension class of Web page design by undergraduate students and graduate school students. Through the experiment, we observed students' creative activities.As discussion above, in this research, we designed and implemented a prototype of self-learning support system to realize expert system for education as a professional teacher. Before applying the expert system to a real education, we need to arrange detail of teaching materials adapted to the prototype system.