AUTOMATING THE PROCESS OF SYNTHESIS OF THE INFORMATION LEARNING ENVIRONMENT METHOD IN THE SIMULATOR CENTRE FOR NAVIGATORS’ TRAINING

Abstract

Introduction. Modern requirements for navigators’ training set high standards for the training quality of specialists able to operate effectively in complex and unpredictable conditions. A considerable number of studies have been published in recent years in the field of navigators’ training and the use of training systems, which have evaluated the effectiveness of various training approaches. At the same time, these works do not provide specific algorithms for implementing systems in practice. The article considers the process of creating an adaptive information environment for training navigators on simulators. Objective. To focus on the synthesis of conditions that correspond to the level of training and individual success of students. As the required skills are mastered, the simulator system must change the operating parameters of the surroundings, adjusting variably to different situations to optimize the learning process. The key stages of navigators’ activities, such as object identification, decision-making and implementation, must be reproduced with a high degree of realism to develop the flexible professional skills required in non-standard situations. Effective training depends on a detailed analysis of all steps in the work of navigators and the creation of a visually and functionally accurate model of their professional environment. Results. It has been shown that fuzzy inference is used to create such a model, which makes it possible to use it to control complex systems. Conclusions. Such a model will allow us to consider those characteristics that are not reflected in the static scenario of the simulator, but which may affect decision-making in extreme situations. Training in such a model will improve the quality of a navigator’s work.