Abstract
In this study, it is aimed to design and develop the student model for the Intelligent Teaching System (ITS) for the learner needs. In line with this goal, the answer to the question of how an ITS design should be considering that students may have different educational needs according to their individual characteristics. For the student model, learner needs were examined in the first stage and the components of the ITS were revealed together with the review of the literature. Rapid Prototyping Model was taken as the basis in the study, since there is a software implementation. As a result, in the domain model of the created ITS, the discrete information components approach was employed, and in the tutoring model, the Weighted Jaccard Technique, one of the collaborative filtering approaches, was applied. In the student model, a hybrid student model, in which Bayesian, Layer and Stereotype student models are combined, was put forward. BaKaSt was tested in an experimental study. A total of 104 undergraduate students participated in this research. Experimental and control groups were formed for the experimental procedures. In the control group, the students used the system they chose for the instructional support for the difficulties they encountered while solving the questions. In the experimental group using BOS, it was provided by the instructional support system. As a result of the experimental procedures, it was determined that the academic success of the students using BOS was higher than the students using the alternative system.
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