Simulation Model of an Adaptive Training Complex for Aviation Management Specialists
Abstract
Introduction: The constantly increasing air traffic intensity and tough safety demands require the systematic improvement of training and educational facilities for upgrading the professional level of aviation management specialists. Therefore, developing a theory of synthesizing an adaptive training simulator looking like an expert system is an important task. Our interest to this problem is associated with finding new ways of increasing the efficiency of training complexes by introducing cognitive technologies into the management structure of the training facilities. Purpose: The goal is to create a simulation model of an adaptive training simulator for aviation management specialists, and to develop a learning process management structure which would describe the change in the state of a learner in a formalized mathematical representation. Results: The structure has been developed for a simulation model of an adaptive training simulator for aviation management specialists, as an evaluation subsystem subset. The model provides objective criteria for judging whether the learner’s knowledge and skills match the required level. Also, the model generates corrective actions which affect the current thematic section of the training program for the traffic service and the training subsystem in which, due to the corrective actions, a program is formed for mastering the given thematic section according to the individual traits of the trainees. An algorithm is obtained to calculate complex estimates of the training level for a set of monitored parameters. This algorithm finds estimates based on the results of test exercises from special training courses for aviation specialists. As a generalizing estimate for parameters of different nature, it is suggested to use the averaging criteria of accuracy and performance. The proposed method allows you to obtain estimates of the efficiency of adaptive training simulators with elements of an expert system. Practical relevance: The developed cognitive structure of a learning process management system and the obtained algorithm for determining complex estimates of aircrew proficiency level allow you to proceed to the creation of a new generation of effective training complexes whose introduction will improve the flight safety due to better professional training of the aviation specialists.Published
2017-08-21
How to Cite
Bestugin, A., Ivanov, A., Kirshina, I., Sannikov, V., & Filin, A. (2017). Simulation Model of an Adaptive Training Complex for Aviation Management Specialists. Information and Control Systems, (4), 51-58. https://doi.org/10.15217/issn1684-8853.2017.4.51
Issue
Section
System and process modeling