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Development of an intelligent tutoring system for distance education at master's level

Yeşiltaş, Yalın
This thesis describes an Intelligent Tutoring System developed to be used in distance education at Master̕s level. The system was designed and implemented to help teachers to generate course material for online tutoring and to help the students to navigate through the course material according to their knowledge level. The system integrates many new technologies and provides individualized learning for students which is one of the most efficient ways for learning. How well the student has learned the course material is tested immediately after each smallest learning unit by end-of-section tests and the knowledge level of the student is derived from the answers given to these tests. This knowledge level is used to build a user model. This thesis describes how this user model is used for navigational support for students while studying on the course material.