The Design and Implementation of an Active Peer Agent Providing Personalized User Interface

This study describes the design and implementation of a naive computer peer agent called KORI-2. Unlike prevalent intelligent tutoring systems that implement a machine tutor replacing a human expert, teachable agent systems try to implement a machine peer tutee. Human student tutors are motivated to learn domain knowledge effectively while tutoring a machine tutee. With KORI-2, a human student who plays a tutor role teaches KORI-2 by constructing concept maps. In this tutoring process, KORI-2 actively initiates and guides tutoring interactions by raising (re-)questions or refuting tutor’s explanations. In addition, the KORI-2 system implements interface to contextualize the navigational situations of human tutors.