A Hybrid Model for Evaluating the Outcomes of Student Pilots within the Didactic System of Aviation Education

Abstract

The agenda of the international community is focused on the global problem of aviation in the lack of pilots while maintaining the quality of their professional education. The trend is to explore the potential of students and help increase resistance to obstacles on the way to results, but especially on the way to the creation of the required competencies, knowledge, and skills. The main goal of this paper is to develop a hybrid expert model evaluating the results and risks of student (pilot) outcomes to improve the quality of individual results in the didactic system of aviation education (study results from theoretical subjects, evaluation from training on flight simulators, and from practical flight training) within one information platform. The model is based on the modern theory of intellectual knowledge analysis, fuzzy set theory, and a systems approach. Information from the repository of 696 individual results of undergraduate students (pilots) from the total number of 2682 undergraduate students of all specializations in aviation education in the period 2005–2022 was used in the creation of the model. The results were tested on the examples of five undergraduate students (pilots) and demonstrated the applicability of the expert methodology for evaluating the quality and risks of individual results in aviation education for individual study counseling within one information platform.

Keywords

• aviation education
• fuzzy set
• quality assessment
• risk assessment
• individual counseling