The article is devoted to the study of the features of using decision support systems in creating automated intelligent systems for managing educational processes. The substantiation of the principles and methods of synthesizing an intelligent system, the features of using various mathematical models of regulators, their advantages and disadvantages is carried out. A reasonable conclusion is made that the use of traditional approaches based on the use of theoretical provisions of the classical theory of automatic control as applied to the synthesis of control systems for social systems, which include educational process control systems, does not allow achieving the desired result. It is proposed to use the principles and methods of building intelligent systems when building an educational process control system, the main difference of which is that the system itself synthesizes the control goal based on external conditions, the knowledge base available in the system and motivation for the tasks of the system functioning. The construction of a decision support system as an element of the control block is considered, the main element of which is a person - a manager (teacher), who directly manages the object, which is also a person - a student (pupil, student, listener). A structural diagram of the construction of an intelligent system for managing information flows of the educational process and a model of influence on the control object are proposed. The basis of the control system is a dynamic expert system that carries out predictive modeling of the results of control action formed on the basis of the theory of fuzzy sets. An example of modeling information flow control is given, demonstrating a qualitative picture of the processes occurring in the system taking into account external influences on the control object.
Konopacki et al. (Fri,) studied this question.