DEVELOPMENT OF A FUZZY MODEL OF A STUDENT INTELLIGENT TEACHING SYSTEM OF TECHNICAL DISCIPLINE

Abstract

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.