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In this paper we aim to estimate the differential student knowledge model in a probabilistic domain within an intelligent tutoring system. The suggested algorithm aims to estimate the actual student model through the student answers to questions requiring diagnosing skills. Updating and verification of the model are conducted based on the matching between(More)
In this paper we aim to estimate the differential student knowledge model in a probabilistic domain within an intelligent tutoring system. The student answers to questions requiring diagnosing skills are used to estimate the actual student model. Updating and verification of the model are conducted based on the matching between the student's and model(More)
In this paper a question generation approach for adaptive assessment is purposed to estimate the student knowledge model in a probabilistic domain within an intelligent tutoring system. Assessing questions are generated adap-tively according to the student knowledge based on two factors (i) the student misconceptions that are entailed in the student(More)
Visual representation and organization of the knowledge have been utilized in different ways in tutoring systems to upgrade their usefulness. This paper concentrates on the usage of various graphical formalisms, for example, the conceptual graph, ontology, and concept map in tutoring systems. The paper addresses what is way of the utilization of every(More)
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