The development of computer technology provides great opportunities for modernizing the learning process. Teachers are actively introducing various electronic learning systems, the leading positions among which are occupied by intelligent learning systems. One of the tasks of developing an intelligent learning system is the implementation of dynamic adaptation of educational material to the level of knowledge of students. Therefore, it is necessary that it includes a student model that reflects the characteristics of the student that are important for managing the learning process. The paper describes the development of a fuzzy model of a student in teaching intelligent systems. This model is based on the concept of “student status”, the parameters of which are the level of mastering the discipline and the student’s personal qualities. A distinctive feature of the proposed fuzzy model is the joint use of the stereotypical and overlay models of the student. In addition, the developed fuzzy model is based not only on the assessment of student’s knowledge, but takes into account the personal qualities of students (responsibility, desire for self-learning and development, perseverance, attentiveness, stress tolerance). The paper proposes the use of a fuzzy expert system as a tool for decision support in determining the status of a student. During the operation of the expert system, the characteristics of students are evaluated, which are compared with the rules of the fuzzy rule base. When implementing a logical inference, a student is assigned one of the possible status values (beginner, trainee, master, professional and expert). At the final step, the student is offered to study the theoretical material of the discipline adapted to his characteristics.

Currently, e-learning systems are widely used in the higher education system, leading among which are intelligent learning systems (IOS). A distinctive feature of using such systems is their ability to adapt the educational process to the individual characteristics of students. The article describes the development of an intellectual system that implements the selection of appropriate theoretical material for each student based on an analysis of his status ("expert," "professional," "master," "novice," "trainee"). The status of the trainee is a fuzzy characteristic, reflecting the degree of possession of the course material and consisting of two components: the level of assimilation of the discipline and the formation of the student's personal qualities. As a tool for determining status, it is proposed to use a fuzzy expert system, the core of which is the production rule base. When forming the database of fuzzy products, a description of each linguistic variable specified on the basis of the values of the student's reference model was used. This model includes dominant indicators for each quality, characterizing possible student statuses. During operation of the software, the results of evaluation of trainees "qualities are read from the database and compared with the rules of the expert system. The Mamdani method was used as the fuzzy inference algorithm. As a result, the student is offered a theoretical material of the discipline adapted to his current status. In the course of working with the system, students will be able to study the material of the discipline, building their own learning trajectory. The introduction of the developed IOS, which implements adaptive individual learning paths for each student, will significantly increase the efficiency and quality of training of specialists [1].