Design and Implementation of the KORI: Intelligent Teachable Agent and Its Application to Education
Most of the intelligent tutoring system (ITS) is used to deliver knowledge and train skills based on the expert model. According to the theories of leaning, learning by teaching method is more efficient for enhancing motivation to learn and cognitive ability than learning by listening or learning by reading. For the purpose of developing an adaptive intelligent agent to enhance the motivation to learn, the new type of teachable agent were designed and implemented, the KORI (KORea university Intelligent agent), in which the user plays a role of a tutor by teaching the agent using a concept map, posing questions, and providing feedbacks. KORI consists of four independent modules: teach module, Q&A module, test module, and resource module. In teach module, the KORI’s knowledge is structured and organized through the concept map and the KORI makes new knowledge from the inference engine. In Q&A module, the KORI can provide answers to the users’ questions through an interactive window. It is expected that providing the user with the active role of teaching the agent enhance the motivation to learn and the positive attitude toward the subject matter as well as cognition.
KeywordsTA (Teachable Agent) intelligent tutoring system learning by teaching concept map motivation to learn inference engine knowledge representation
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