Aerospace Technic and Technology

The subject of the article is the methodological basis for ensuring the adaptability of training systems (TS), utilizing real-time biometric feedback to the user, which provides personalization of the training process for vehicle drivers, aircraft pilots, operators of complex technical systems, etc. The goal is to increase the efficiency of computer-based training tools by developing a method for online dispatching of thematic training modules (TTM), which is based on the use of a user profile vector and a user state vector. These vectors are formed by integrating previous psychometric assessments of the level of training, analyzing learning results, and subsequently converting information about the user's state into discrete levels of complexity for dispatching TTM as part of the TS. The tasks addressed include: conducting a critical analysis of approaches to developing software for adaptive TS with biometric feedback and means of personalizing the training process; and developing a method for the online dispatching of training modules based on the integration of user profile assessments and biometric state, which aggregates previous task performance results and takes into account the variability of the user's heart rate. The following results were obtained. The practical advantage of the developed method lies in ensuring the personalization of training in adaptive TS software architectures across various subject areas, based on effective online dispatching of ТTM, using vectors of the individual profile and the current state of the learners. Conclusions. As a result of the research, a method was developed to increase the level of ТS adaptability by the real-time dispatching of software modules in the system, considering data on the individual characteristics of a particular user and his current psycho-physiological state. The scientific novelty of the results obtained is as follows. For the first time, a method for the dynamic dispatching of ТTM in adaptive e-learning systems was proposed. The method, unlike existing ones, considers the level of training, the current psychophysical state of the user, as well as the degree of novelty of the tasks in the ТTM. The method uses preliminary filtering of modules based on the degree of alignment with the level of user training, which makes it possible to significantly reduce the computational costs for dispatching and ensures the operation in the module in online mode. The results of experimental testing have shown the effectiveness of the developed methodological tools in solving problems related to increasing the efficiency of ТS operation, in terms of their adaptability to the individual characteristics of the user.

training system; adaptability; thematic training module; psychometric characteristics of the user; biometric feedback; individual user profile; current user state profile; online dispatching; VR environment; module filtering; module topic filter; complexi

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