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About digital didactics at university (based on the example of volgograd state technical university)

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DOI 10.51955/2312-1327_2025_3_  

Raisa M. Petruneva

Evgeny G. Efimov

Tatiana D. Chudasova

Egor A. Matushkin 

Abstract. The article presents data on the study of the university’s digital educational environment based on the survey of teaching staff of different ages. The digitalization of educational activities has initiated the processes of introducing various digital tools into the educational process. In particular, universities actively use free digital platforms, on the basis of which electronic information educational environment (EIEE) functions. The widespread introduction of modern educational tools requires teachers to actualize the classical didactic principles in the conditions of digital environment. The article investigates the problem of the classical didactic principles evolution and rules in the context of e-learning, understanding the content of these principles, as well as the peculiarities of student learning with the use of digital tools. The study shows that the majority of teachers, regardless of age and pedagogical experience, understand the peculiarities of digital tools in education, see the transformation of classical didactic principles in the digital environment and the peculiarities of student learning in these conditions. Most of the teachers also note the “clip” nature of modern students’ thinking, which is manifested in the cognitive, communicative and emotional spheres.

Key words: digital didactics, classical didactic principles, electronic information education environment (EIEE), clip thinking.

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Efimov Evgeniy Gennadyevich

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E–mail: ez07@mail.ru

Place of work: Federal State Budgetary Educational Institution of Higher Education “Volgograd State Technical University”, Volgograd, Russia

Academic degree: Doctor of Sociological Sciences

Academic status:  Professor

Post: Professor of the Department of History, Culture and Sociology

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission): 22.00.04 – Social structure, social institutions and processes

Scientific major: Cybersocialization, social internet networks, education, computer games.

Important publications:

  1. Efimov E. G. Social Internet networks (research methodology and practice): monograph / E. G. Efimov. – Volgograd: Volgograd Scientific Publishing House, 2015. – 168 p.
  2. Dulina N. V. Sociocultural development of virtual space: an experience of sociological analysis: monograph / N. V. Dulina, E. G. Efimov, I. A. Nebykov, V. V. Tokarev. – Volgograd: Volgograd Scientific Publishing House, 2014. – 162 p.

Matushkin Egor Andreevich

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E–mail: geo121@rambler.ru

Place of study: Federal State Budgetary Educational Institution of Higher Education “Volgograd State Technical University”, Volgograd, Russia

Status: postgraduate student of the Department of History, Culture and Sociology

Chudasova Tatyana Dmitrievna

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E–mail: tanchds@gmail.com

Place of study: Federal State Budgetary Educational Institution of Higher Education “Volgograd State Technical University”, Volgograd, Russia

Status: postgraduate student of the Department of History, Culture and Sociology

Analysis of the concept «Airworthiness» as one of the key factors in ensuring flight safety

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DOI 10.51955/2312-1327_2025_3_ 

Sergey N. Kuznetsov

Andrey M. Safarbakov

Marina A. Kondratieva

Abstract. The airworthiness of an aircraft is a fundamental concept that ensures the safety of civil aviation flights. It is defined and regulated through a series of international and national documents. The term “airworthiness” is widely used but is interpreted differently across the global civil aviation sector. Analyzing the definition of the term “airworthiness” within various international and national frameworks not only reveals the existing diversity of interpretations but also emphasizes the need for its standardization, which is an important task for ensuring accuracy in its application in educational materials and scientific publications. The analysis of existing definitions and the context of their use was conducted using content analysis methodology, employing tools such as the artificial intelligence ChatGPT, which helps simplify the routine tasks of identifying key characteristics and properties of concepts within a large volume of definitional interpretations. Precision and clarity in terminology are critically important for enhancing safety levels.

Keywords: airworthiness, safety, flight, term, definition, capability, compliance, risk, certificate, design, operation.

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Kondratyeva Marina Aleksandrovna

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E–mail: marina_mgtu@mail.ru

Place of work: Irkutsk branch of the Federal State Budget Institution of Higher Education «Moscow State Technical University of Civil Aviation» (MSTU CA), Irkutsk, Russia

Post: senior lecturer, Department of Aircraft and Engines

Status: candidate for a degree

Scientific major: continued airworthiness, technical operation of aviation equipment

Important publications:

  1. Kondratieva M. A. Airworthiness of Aircraft Considering the Average Number of Employees in an Aviation Enterprise / M. A. Kondratieva, S. N. Kuznetsov, A. V. Fryazinov // Current Issues and Prospects for the Development of Civil Aviation: Proceedings of the XIII International Scientific and Practical Conference, Irkutsk, October 10-11, 2024. – Irkutsk: Moscow State Technical University of Civil Aviation, 2024. – pp. 18-27.

Kuznetsov Sergey Nikolayevich

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E–mail: sergei20320@mail.ru

Place of work: Irkutsk branch of the Federal State Budget Institution of Higher Education «Moscow State Technical University of Civil Aviation» (MSTU CA), Irkutsk, Russia

Academic degree: Candidate of Technical Sciences

Academic status:  Аssociate professor

Posit: Dean of the Faculty of Aircraft Operation

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  20.02.17 – Operation and Restoration of Armament and Military Equipment.

Scientific major: continued airworthiness, technical operation of aviation equipment, repair of composite materials.

Important publications:

  1. Kuznetsov S. N. Fundamentals of Maintaining Aircraft Airworthiness. General Requirements for Aircraft Airworthiness in Expected Operating Conditions. Aircraft Airworthiness Maintenance System: Study Guide (Lecture Course) / S. N. Kuznetsov. – Irkutsk: IF MSTU GA, 2020. – 249 p.
  2. Kuznetsov S. N. Fundamentals of Maintaining Aircraft Airworthiness. State Regulation and Management for Maintaining Aircraft Airworthiness: Study Guide (Lecture Course) / S. N. Kuznetsov. – Irkutsk: IF MSTU GA, 2020. – 105 p.
  3. Safarbakov A. Thermodynamic Calculation of the Parameters of a Gas Medium in a Pulsed Combustion Chamber / A. Safarbakov, S. Kuznetsov // In: Gorbachev, O.A., Gao, X., Li, B. (eds) Proceedings of 10th International Conference on Recent Advances in Civil Aviation. Lecture Notes in Mechanical Engineering. Springer, Singapore, 2023. pp. 3-15. https://doi.org/10.1007/978-981-19-3788-0_1.
  4. Kondratieva M. A. Airworthiness of Aircraft Considering the Average Number of Employees in an Aviation Enterprise / M. A. Kondratieva, S. N. Kuznetsov, A. V. Fryazinov // Current Issues and Prospects for the Development of Civil Aviation: Proceedings of the XIII International Scientific and Practical Conference, Irkutsk, October 10-11, 2024. – Irkutsk: Moscow State Technical University of Civil Aviation, 2024. – pp. 18-27.

Analysis of distribution of statistical data about wagon flows. Part I

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DOI 10.51955/2312-1327_2025_3_ 

Anna K. Mozalevskaya

Ekaterina V. Malovetskaya

Roman S. Bolshakov

Abstract. The features of the analysis of fluctuations in wagon flows in the direction of the ports of the Far East are considered, taking into account the passage through the junction points of adjacent railways entering the borders of the Eastern polygon. At the same time, the incoming wagon traffic is presented as a time series as an array of data. The distribution of wagon flow is estimated using statistical hypotheses. Selection the type of distribution when working with a volume of data is an important stage of the analysis. The data set of operational indicators “loading” and “unloading” is analyzed. Statistical data on the volume of wagon traffic passing through the Eastern polygon through junction points was studied using a unified methodology with a sample of five years. To process static data on changes in wagon flows and form predictive models, the complex of statistical parameters is used as the main tool.

Key words: loading, unloading, analysis of wagon flows, distribution law, parametric criteria, non-parametric criteria, normality criteria.

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Bolshakov Roman Sergeevich

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E–mail: bolshakov_rs@mail.ru

Place of work: Federal State Budget Educational Institution of Higher Education «Irkutsk State Transport University», Irkutsk, Russia

Academic degree: Candidate of Technical Sciences

Academic status:  associate professor

Post: associate professor, department of control of operational work

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  01.02.06 – Dynamics, strength of machines, devices and equipmant

Scientific major: machines dynamics, mechanical engineering, theory of transportation processes, control of operational work on railway transport.

Important publications:

  1. Bolshakov R. S. Features of vibration conditions of transport and technological machines. Dynamic reactions and forms of interaction of elements / R. S. Bolshakov. – Novosibirsk: Novosibirsk branch of the Federal State Unitary Enterprise “Academic Scientific Publishing and Book Distribution Center” Science “, 2020. – 411 p.
  2. Eliseev S. V. Methodology of systems analysis in the problems of assessing, forming and control the dynamic conditions of technological and transport machines / S. V. Eliseev, A. V. Eliseev, R. S. Bolshakov, A. P. Khomenko. – Novosibirsk: Federal State Unitary Enterprise “Academic Scientific Publishing, Production, Printing and Book Distribution Center” Science “, 2021. – 679 p.
  3. Goncharova N. Yu. Organization of mixed-type passenger transportation. Multimodal tourist transportation / N. Yu. Goncharova, R. S. Bolshakov, N. V. Davydova // Transsib News. – 2023. – №2(54). – pp. 68-79.
  4. Sukhanov G I. Modern aspects of planning technological breaks / G. I. Sukhanov, R. S. Bolshakov, A. V. Suprunovsky // Transport of the Asia-Pacific Region. – 2023. – №4(37). – pp. 101-108.

Malovetskaya Ekaterina Viktorovna

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E–mail: katerina8119@mail.ru

Place of work: Federal State Budget Educational Institution of Higher Education «Irkutsk State Transport University», Irkutsk, Russia

Academic degree: Candidate of Technical Sciences

Academic status:  associate professor

Post: associate professor, department of control of operational work

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  05.22.08 – Control of operational work

Scientific major: theory of transportation processes, control of operational work on railway transport, creative of forecast models.

Important publications:

  1. Malovetskaya E. Prospects for Comprehensive Forecasts When Assessing the Load of Railway Transport Infrastructure / E. Malovetskaya, E. Voskresenskaya, A. Mozalevskaya // Finance, Economics, and Industry for Sustainable Development (ESG 2023) : Proceedings of the 4th International Scientific Conference on Sustainable Development, St. Petersburg. – Cham: Springer Nature Switzerland AG, 2024. – pp. 217-225.
  2. Malovetskaya E. V. The possibility of using a temporary neural network to forecast incoming car traffic E. Malovetskaya // Transport: science, technology, management. Scientific information collection. – 2023. – №11. – pp. 43-52. – DOI 10.36535/0236-1914-2023-11-6.
  3. Malovetskaya E. V. Possibilities of using ARIMA models in constructing forecast values of car flows / E. Malovetskaya, A. Mozalevskaya // T-Comm: Telecommunications and transport. – 2023. – Vol. 17, №1. – pp. 33-41. – DOI 10.36724/2072-8735-2023-17-1-33-41.
  4. Malovetskaya E. V. Neural network approach to constructing forecast models of car flow arrival at railway junction points / E. Malovetskaya // T-Comm: Telecommunications and transport. – 2023. – Vol. 17, №11. – pp. 41-50. – DOI 10.36724/2072-8735-2023-17-11-41-50.
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