The scientific journal "Engineering Education" is a peer-reviewed scientific journal published since 2003. Founder: Association of Engineering Education of Russia. "Engineering Education" is published twice a year: June (articles are accepted until April 20); December (articles are accepted until October 20). The journal is registered with the Federal Service for Supervision of Communications, Information Technology and Mass Media (certificate PI No. FS77-33704 dated October 24, 2008). ISSN (print) – 1810-2883 ISSN (on-line) 2588-0306 ISSN (in English) – 2588-0314 "Engineering Education" publishes original works and review articles aimed at discussing and developing progressive ideas that contribute to the improvement of engineering education, the use of high educational technologies, and the combination of the best domestic traditions and foreign experience in training specialists in the field of engineering and technology. Main thematic areas: - Engineering education: trends and challenges - Domestic and foreign experience in training engineers - Organization and technology of engineering education - Training engineers: partnership of universities and enterprises - Quality of engineering education Articles selected for publication in the journal undergo closed (blind) peer review. The author of the article has the right to propose two reviewers in the scientific direction of his research. The final decision on the publication of the article is made by the editor-in-chief of the journal. "Engineering Education" is indexed in the RSCI (RSCI Core), is included in the Russian Science Citation Index (RSCI) database and in the international interactive reference and bibliographic system EBSCO Full-text access to the electronic version of the journal is available on the website www.elibrary.ru "Engineering Education" implements an open access policy and uses the CC BY-NC licensing type. All materials are posted free of charge. Manuscripts that are simultaneously submitted to other publications are not considered. If this fact is discovered, the editors of the journal will retract (retract) such publications. All materials are accepted only through Journal's website from 1 April 2026!
DEVELOPMENT OF PROFESSIONAL AND PEDAGOGICAL COMPETENCIES OF TEACHERS OF ENGINEERING UNIVERSITIES IN THE FORMAT OF INTERNATIONAL CONFERENCES (ON THE EXAMPLE OF THE NETWORK CONFERENCE “SYNERGY”)
This article analyzes the experience of holding the International Network Scientific and Practical Conference “Synergy” (2016-2022) as an innovative tool for advanced training for faculty at Russian engineering universities. Initiated by the Association for Engineering Education of Russia and KNITU, with the support of PJSC Gazprom and the International Society for Engineering Education (IGIP), the conference brought together the academic community, industrial partners, and international experts in a networking format with sessions in various cities across Russia and abroad. An overview of the evolving topics (interdisciplinarity, Industry 4.0, green economy) demonstrates adaptation to the challenges of digitalization and sustainable development. Participation in Synergy ensures academic mobility, international certification, publication activity, and the development of digital competencies for university faculty, as well as their direct dialogue with employers. This model is recommended for replication to modernize engineering education.
International Society for Engineering Education
Copyright (c) 2026 Мансур Флоридович Галиханов, Владимир Владимирович Кондратьев, Юрий Петрович Похолков, Светлана Васильевна Барабанова, Василий Григорьевич Иванов, Андрей Иванович Фролков (Автор) https://creativecommons.org/licenses/by-nc/4.0
SUBJECT-OBJECT STATUS OF CHATGPT IN ACADEMIC DISCOURSE: BETWEEN THE COLLECTIVE SUBJECT AND THE «ALGORITHMIC WILL»
The article analyzes the transformation of academic communication in the context of the integration of artificial intelligence systems (AI), specifically ChatGPT model. The relevance of the study stems from the rapid penetration of artificial intelligence into the educational space, which entails fundamental changes in the roles of its participants and very structure of the cognitive process. The central research problem is the need to understand the new status of artificial intelligence and rethink the subject-object relations in the student-ChatGPT relationship. The authors propose and substantiate the concept of viewing ChatGPT as a collective agent of academic activity. This approach allows for an analysis of how interaction with artificial intelligence influences key components of academic work: motivation, goal setting, planning, information processing, and decision making. The methodological basis of the study is B.F. Lomov’s systemic analysis of activity and J. Habermas’s theory of communicative action. It demonstrates how delegating cognitive functions to artificial intelligence leads to the “scaling down” of critically important mental processes of students—anticipation, critical analysis, and the development of an independent position—which, in the long term, threatens the development of their professional consciousness and identity. Using a philosophical analysis of communication, it is concluded that the introduction of ChatGPT into academic discourse calls into question its fundamental principles formulated by J. Habermas: the pursuit of truth, dialogicity, argumentation, and critical reflection. Instead of dialogue, “monodirectional communication” with an algorithm emerges, whose “will” is illusory and derived from the parameters set by the developers. The authors emphasized that the emergence of a new educational ecosystem based on the “teacher-AI-student” model requires a revision of teaching methodology, assessment criteria, and the development of a new ethic of distributed responsibility among all participants in this process.
Copyright (c) 2026 Анна Александровна Шавлохова, Наталия Александровна Лукьянова (Автор) https://creativecommons.org/licenses/by-nc/4.0
EXPERIENCE OF TRAINING ENGINEERING AND SCIENTIFIC STAFF IN PRIAZOV STATE TECHNICAL UNIVERSITY
This article provides a historical overview of the training of engineering and scientific personnel since the inception of Priazov State Technical University. It also covers the organization of the educational process in various periods of its existence: during the existence of the Union of Soviet Socialist Republics and after its dissolution in 1991, as well as during the formation of the Commonwealth of Independent States. Particular attention is paid to the training of students studying blue-collar jobs and the use of their acquired knowledge and skills during subsequent industrial internships. The article examines the organization of industrial internships and their inclusion in the curriculum. Using examples from several departments, it demonstrates the organization of the educational process with the introduction of industrial internships. The role of research in acquiring the necessary knowledge and skills for the subsequent practical work of young specialists in production or work in research organizations is demonstrated. An analysis of the preparation and defense of dissertations for the academic degrees of candidate and doctor of science is presented, indicating the time spent on the preparation of dissertations and obtaining these academic degrees during their working careers. It was found that the timeframe established by the postgraduate program’s regulations for preparing and defending dissertations for technical candidate degrees is practically not being met. An analysis is provided of several options for implementing new proposals for organizing specialist training under the planned educational reform for 2026. Prospects are examined and proposals for developing the educational process for training technical specialists are presented.
Copyright (c) 2026 Валерий Васильевич Чигарев, Наталья Александровна Пестунова (Автор) https://creativecommons.org/licenses/by-nc/4.0
APPLICATION OF THE ALGORITHM FOR CONSTRUCTING EDUCATIONAL MATERIALS IN TEACHING MATHEMATICS TO STUDENTS OF TECHNICAL AREAS OF TRAINING
Over the past decade, special attention has been paid to technical education and training. Since 2022, engineering classes have been opened in schools to promote early profiling and prepare students for engineering and technical work. Professionally focused tasks have been included in the assessment materials for the state final certification in mathematics. Mathematics is the foundation of engineering education, and its principles and methods are used in various fields of engineering. A revision of the content of mathematical education towards the applicability of its tools in solving problems in the professional field is also taking place in the higher education system. The article analyzes domestic and foreign scientific and methodological literature related to the main areas of development on the topic of designing educational material in mathematical disciplines for students of technical fields of training at the university. The aim of the study: application of an algorithm for constructing specialized educational materials in mathematics within the framework of technical education. The step-by-step implementation of the algorithm in the process of teaching mathematics to engineering students is considered. The example demonstrates the interrelations of the system of techniques of various educational technologies: selecting material and constructing problems using P.M. Erdniev’s technology for consolidating didactic units; adding professional context to problem text using A.A. Verbitsky’s contextual learning; and using action verbs to formulate problems based on levels of cognitive activity using L.S. Ilyushin’s problem designer.
Copyright (c) 2026 Виктория Станиславовна Тугульчиева, Ренат Александрович Бисенгалиев (Автор) https://creativecommons.org/licenses/by-nc/4.0
CHANGING THE VALUE ORIENTATIONS OF ENGINEERING STUDENTS: IS YOUTH POLICY WORKING AT A RUSSIAN UNIVERSITY?
The article examines the changes in the value orientations of engineering students in Russia in the period from 2023 to 2024. The relevance of this study stems from the active development of Russian youth policy, its growing role in Russian society, and the positive impact of informal cultural institutions on society’s socioeconomic performance, as demonstrated in scientific studies. The aim of this study is to analyze changes in the value orientations of engineering students. To achieve this goal, two series of surveys were conducted in 2023 and 2024 to measure the dynamics of student value shifts. The results indicate positive changes in the perception of the status of the engineering profession and confidence in financial stability, as well as an increased interest in self-employment and entrepreneurship. At the same time, there is a downward trend in generalized trust. As a result of the analysis, both positive changes and continuing challenges are revealed: students have become more likely to adhere to patriotic views, value Russia’s contribution to world culture more highly, and are less likely to indicate that they are choosing emigration as a long-term life strategy, but elements of a “crisis of trust” have also been recorded, as well as the persistence of negative attitudes towards “conservative” public narratives. The question is raised about the formalism in student responses and the impact of the effect of joining the majority, which can distort survey results and, consequently, influence the assessment of the effectiveness of current youth policy. The study of current youth policy requires a deeper analysis of students’ value orientations and the effectiveness of existing approaches. The study points both to the formal effectiveness of existing strategies and raises questions about the need to adapt youth policy to the strategic objectives and challenges facing Russian society. Further research in this area will allow us to assess the influence of the educational environment and the current media space on the formation of value orientations of Russian students.
Copyright (c) 2026 Сергей Сергеевич Мерзляков, Елена Серафимовна Зотова (Автор) https://creativecommons.org/licenses/by-nc/4.0
TECHNOLOGY OF ORGANIZING INDUSTRIAL EXCURSIONS IN THE TRAINING OF MECHATRONICS ENGINEERS
In the context of the rapid development of technology and the automation of production processes, there is an increasing demand for specialists who possess not only theoretical knowledge but also practical competencies. The article examines the role of industrial excursions as an effective means of developing practice-oriented knowledge and skills among future mechatronics technicians, as well as enhancing their professional motivation. The aim of the article is to summarise and present the experience of organising such excursions with regard to the regional industrial map. Based on an analysis of pedagogical literature and regulatory documents, the article reveals the essence of the concept of an “excursion” as a form of educational activity, and presents its types and classification. Special attention is given to the specifics of organising industrial excursions to enterprises that use mechatronic equipment and robotics, for which no established methodological guidelines currently exist. The authors propose well-tested methodological recommendations for preparing, conducting, and completing an industrial excursion, involving the coordinated activities of all participants — the enterprise manager, technical guide, instructor, and students. An analysis and systematisation of urban facilities suitable for conducting industrial excursions in the field of mechatronics is provided. These materials may be useful for instructors of technical disciplines in the training of mid-level specialists. A practical example is given of involving students enrolled in the “44.03.04 Vocational Education” programme in the process of organising an industrial excursion to a service station. This experience may be valuable for instructional designers who train modern teaching staff for vocational education. It is emphasised that the study, development of educational and methodological materials, and the practical implementation of industrial excursions constitute an essential component of training future educators for secondary vocational and supplementary education of children and adults in the fields of mechatronics, robotics, and digital manufacturing. It is further noted that such activities not only reinforce students’ theoretical and practice-oriented knowledge, but can also perform a recruiting function, helping to address the shortage of skilled personnel in high-technology sectors and fostering partnerships between educational institutions and industrial employers.
Copyright (c) 2026 Галина Анатольевна Ечмаева, Елена Николаевна Малышева (Автор) https://creativecommons.org/licenses/by-nc/4.0
CAPABILITIES OF THE ENGEE DIGITAL PLATFORM IN TRAINING ENGINEERING STUDENTS
In the context of the accelerated digitalization of industry, developing relevant digital skills in future engineers is of paramount importance. This article examines the technological potential and effectiveness of the domestic digital platform Engee as an alternative to foreign CAE systems (such as MATLAB, Simulink, and Amesim). Particular attention is paid to the platform’s capabilities in the context of teaching key areas for modern engineers: mathematical calculations, physical modeling, data analysis, and the fundamentals of machine learning, including artificial neural networks. The advantages of Engee for creating virtual interactive educational environments, organizing project activities in engineering and technical fields, and conducting simulations in various engineering fields are analyzed. A central aspect is the integration of the Engee digital platform with the high-performance Julia programming language, which expands its functionality for engineering calculations and modeling complex technical objects. This article presents methodological recommendations for integrating Engee into the educational process, aimed at improving the quality of engineering training and their competitiveness in the labor market in the context of the Fourth Industrial Revolution (Industry 4.0, 4IR). The Engee digital platform aligns with the global trend toward digitalization and the implementation of simulation in modern engineering education. This article will be useful for teachers and students interested in modernizing relevant engineering disciplines.
Copyright (c) 2026 Наталья Александровна Моисеева (Автор) https://creativecommons.org/licenses/by-nc/4.0
INFORMATION SECURITY IN RUSSIAN UNIVERSITIES: IMBALANCES AND PROSPECTS
Information security has become one of the key areas of engineering education in Russia; however, its development is accompanied by significant structural imbalances. Based on federal monitoring data of higher education institutions, a comprehensive analysis was conducted of programs in the field of UGSN 10.00.00 «Information Security.» The study included 149 universities, with a total enrollment of 47,189 students in 2024. The results revealed a high concentration of training: 70 leading universities account for 80% of all students, while dozens of regional monopoly institutions implement programs with fewer than 250 students. This situation undermines staffing stability, prevents the establishment of independent departments, and limits the development of research infrastructure. Within the analysis, benchmarks of organizational sustainability of educational programs are proposed. The minimum level (50-70 students) ensures only basic functioning of a program. The threshold for departmental stability (120-180 students) allows the formation of a teaching staff and the development of master’s programs. The optimal level (from 250 students) characterizes a center of competence - a structural core of training that includes the full educational cycle, doctoral studies, and research laboratories. Thus, federal monitoring should be used not only as a tool of statistical reporting but also as a mechanism for strategic governance of educational policy. Its analytical potential makes it possible to identify centers of competence, determine program sustainability, and build a balanced national system of human resource development in the field of information security.
student enrollment in information security
Copyright (c) 2026 https://creativecommons.org/licenses/by-nc/4.0
PERFORMANCE OF POSTGRADUATE PROGRAMS AND PROGRAM LEARNING OUTCOMES: RESOLVING CONTRADICTIONS
The relevance of the article is determined by the objective need for further forward-looking scientific research related to the transformation of the levels of professional education, including the separation of postgraduate education from higher education into a distinct tier. The research problem lies in the contradictory approaches to assessing the performance of postgraduate programs and their learning outcomes. The aim is to develop theoretically substantiated practical recommendations for improving the performance of postgraduate programs for academic and research personnel. Methodology, methods, and techniques. The application of the comparative-analytical method made it possible to identify key factors that reduce the efficiency of training academic and research personnel, including the analysis of the regulatory and legal framework, the systematization of data from scientific publications, and expert assessments of the practices of leading higher education institutions. The synthesis method enabled the development of proposals to strengthen the interconnection between the educational and research activities of postgraduate students in order to enhance program performance. Results and scientific novelty. Based on the identification of the most significant factors reducing the validity of assessing the performance of postgraduate programs, proposals have been formulated to minimize their negative impact, both at the level of Russian education governance and at the level of educational institutions. The practical significance lies in the development of proposals for aligning the content of individual study plans of postgraduate students with their individual research plans.
Copyright (c) 2026 Роман Евгеньевич Булат (Автор) https://creativecommons.org/licenses/by-nc/4.0
INFORMATION-POLYLOGICAL APPROACH: TRANSFORMING THE TRAINING OF PHYSICS TEACHERS TO BUILD FUNDAMENTAL KNOWLEDGE FOR FUTURE ENGINEERS IN THE ARTIFICIAL INTELLIGENCE ERA
The article substantiates the necessity for a systemic transformation in the training of future physics teachers, driven by the challenges of educational digitalization and the widespread adoption of artificial intelligence (AI) technologies. These developments threaten the formation of deep fundamental knowledge in school students, which is critically important for their successful education in engineering universities. As a methodological solution, the development and practical implementation of the information-polylogical approach (IPA) is proposed. Within this approach, knowledge acquisition occurs through active interaction (polylogue) among students, the teacher, artificial intelligence, and digital resources. Its goal is to equip educators with the competencies for critical information analysis and for organizing an educational process in which AI is used as a tool to develop fundamental scientific thinking, not to replace it. The authors elaborate on two key areas of its application: theoretical and methodological training for instructors (through workshops) and for students (through the introduction of a special module and the modernization of the curriculum). The study focuses on detailed examples of fostering critical thinking through dialogue with classical sources and AI-generated content, demonstrating how a future teacher can lay the foundations of engineering thinking in school students. It is shown how the IPA can shift the study of physics from the passive assimilation of formulas to an active dialogue with information. The authors have developed a comparative table of the evolution of memory, thinking, and cognition, which clearly illustrates the transformation of cognitive processes. The methodological foundation of the work is based on philosophical and pedagogical concepts of dialogism, the principles of problem-based dialogic learning, and systemic and activity-based approaches.
Copyright (c) 2026 Ирина Владимировна Богомаз, Валентина Ивановна Тесленко (Автор) https://creativecommons.org/licenses/by-nc/4.0
THE DEVELOPMENT OF A PREDICTIVE AND ANALYTICAL MANAGEMENT MODEL FOR THE DEVELOPMENT OF EDUCATIONAL PROGRAMS OF AN ENGINEERING AND ECONOMIC PROFILE
The modern labor market imposes high demands on graduates of engineering and economics specialties, requiring not only fundamental knowledge but also advanced digital competencies, project management skills, and the ability for interdisciplinary interaction. The article presents the results of the development and testing of an integrated predictive-analytical system for assessing the competency profile of students in engineering and economics. The goal of the work was to create a tool capable of not only diagnosing current gaps between the training of students and the requirements of the digital economy but also forming forecast-based recommendations for proactive modernization of educational programs. The methodological basis of the study was the synthesis of six key approaches: three competency models -T-Shaped Skills (assessing the depth of specialization and breadth of interdisciplinary competencies), the 4K concept (diagnosing soft skills - critical thinking, creativity, communication, cooperation), and Bloom’s taxonomy (gradation of cognitive levels); as well as three analytical methods - the Delphi method for structured expert assessment, Gap Analysis for quantitative identification of competency gaps, and predictive analytics algorithms including time series analysis (ARIMA, Prophet) and gradient boosting (XGBoost). The empirical base was formed through data triangulation, including a survey of 1459 students from three leading Russian universities, as well as independent expert evaluations from the academic community (20 professors) and the professional market (20 employers). A unique component of the methodology is the integration of traditional pedagogical assessment models with predictive analytics methods: time series analysis (ARIMA and Prophet models) and machine learning algorithms (XGBoost) for constructing scenariobased forecasts of competency demand up to 2035. The testing results revealed a persistent structural imbalance. While a high level of soft skills development was confirmed, particularly in cooperation (4.35 out of 5) and critical thinking (3.78), a critical deficit was diagnosed in key hard skills essential for Industry 4.0/5.0: programming (2.94) and project management (3.08). Comparative analysis of the three groups of assessments (self-assessment, professor assessment, and employer assessment) showed that it is business representatives who assign the strictest ratings for digital competencies, indicating a significant gap between educational outcomes and practical requirements. The first scientific outcome of the study is the developed algorithm constituting a closed-loop competency management system whose key distinguishing feature is the integration of time series analysis and machine learning methods. The second scientific outcome is the designed cycle of predictive and analytical management for the development of engineering-economics educational programs, which visually illustrates the transition of educational program renewal toward data-driven governance principles, thereby ensuring the training of graduates who are competitive in the dynamic digital economy. Future research will focus on developing predictive models of demand for key competencies up to the year 2035 to enable proactive educational management, as well as on formulating a targeted set of recommendations for the education system based on the synthesis of diagnostic and predictive data.
Copyright (c) 2026 Ольга Титовна Ергунова, Андрей Георгиевич Сомов, Артем Александрович Иващенко, Тимофей Евгеньевич Дудников (Автор) https://creativecommons.org/licenses/by-nc/4.0
ON THE ISSUE OF CONCEPTUALIZATION OF LITERACY IN THE CONTEXT OF MODERN MODELS OF DEVELOPMENT OF INDUSTRY, EDUCATION AND SOCIETY
The article considers the situation caused by the further development of information and communication technologies, which actualized the need to conceptualize literacy and substantiate the requirements for it from the scientific and industrial communities of different countries. An attempt has been made to identify literacy requirements in the context of modern models of industry, education, and society development, presented in the concepts of Industry 4.0, Industry 5.0, and Society 5.0. The combination of analytical and comparative methods made it possible to identify the peculiarities of the interpretation of literacy in the theories under consideration, as well as to obtain results that can have practical significance related to finding invariant literacy requirements that can be taken into account when shaping educational policy and the structure of the modern education system as in Russia. It was found that at the moment there is no unity among researchers in the conceptual justification of the new literacy requirements that arise in the context of the further development of ICT. The multitude of available options for conceptualizing literacy makes it possible to take into account the various nuances of the requirements of local communities, but at the same time creates additional difficulties, because their needs are a complex conglomerate of various elements that do not always correspond to the parameters of a particular theoretical model.
information and communication technologies
Copyright (c) 2026 Александр Юрьевич Чмыхало, Марина Алексеевна Жаркова (Автор) https://creativecommons.org/licenses/by-nc/4.0
РАЗРАБОТКА И ИСПОЛЬЗОВАНИЕ МОДЕЛЕЙ КОМПЕТЕНЦИЙ ИНЖЕНЕРОВ В ВЫСШЕМ ОБРАЗОВАНИИ
One of the key tasks in the education system is to define the normative content of work activities in various training areas, which can be used to design educational programs. The gap between the activities carried out by specialists on the job and what is taught at universities undermines the quality and effectiveness of educational activities. Therefore, it is important to be able to determine the structure of professional activity in a specific area, the list and content of competencies required for it, as well as indicators by which the degree of compliance can be determined. This is especially relevant for engineering training areas, which are aimed at preparing specialists in demand by the labor market. The aim of the study is to present a methodological approach to developing a competency model, which has been tested in the experience of Rosatom, a major Russian company, and can be used to develop educational programs. The basic research methods included observation of the specific activities of specialists and focus groups to develop the structure of a competency model for specific professions. During the project, a competency model for a relay protection and automation (RPA) engineer was developed, its structure was outlined, the types of activities performed by an engineer were described, and the levels of competency development were characterized, as well as the time and education required to advance from one level to another. These results can be used to develop a corresponding educational program at the university. The developed methodological approach can serve as a basis for developing competency models and can also be used in educational organizations to implement a business approach to educational program design.
competency model for a relay protection and automation engineer
Copyright (c) 2026 Руслан Алексеевич Долженко (Автор) https://creativecommons.org/licenses/by-nc/4.0
BALLISTIC PERFORMANCE OF AIRCRAFT AS AN APPLIED ACADEMIC DISCIPLINE DEVELOPING DESIGN SKILLS AND SYSTEMATIZING PRIOR KNOWLEDGE
The article describes the new academic discipline “Ballistic Efficiency of Aircraft”, developed on the basis of long-term research on the problem of increasing flight range and aimed at developing skills in selecting and justifying technical solutions that ensure the fulfilment of the stated objective. The discipline covers the key concepts, indicators and methods for evaluating ballistic efficiency, as well as a set of principles and technical solutions necessary to achieve high flight performance. The purpose of the discipline is to improve the quality of the educational process and to train highly qualified specialists for the defence industry. The necessity of introducing the proposed discipline is demonstrated and its place in the higher education system is shown. The aim of the article is to justify the necessity of introducing this discipline. The methods of systems analysis, pedagogical design and expert evaluation are employed. It is shown that the discipline develops design skills and contributes to the training of specialists who meet the modern requirements of the defence industry.
Copyright (c) 2026 Вячеслав Васильевич Ветров, Павел Дмитриевич Шилин (Автор) https://creativecommons.org/licenses/by-nc/4.0
TECHNOLOGICAL INDUCTION OF STUDENTS INTO THE PRODUCTION OF POLYMER COMPOSITE MATERIALS
Modern education in higher educational institutions should be restructured in such a way that there is a close relationship between education, science, and production. The goal is to create a trajectory of technological immersion for students in the development of polymer composite materials, the production of products from these materials, and the solution of environmental safety issues through the recycling of secondary thermoplastic polymers by reducing polymer waste. As an example, we will consider the development of technologies for the production of composites and products from them based on thermoplastic and thermosetting polymers. The result of solving these problems will be a training course on the technologies of the production of polymer composite materials. The educational process will be structured in such a way that students will engage in scientific research and innovation during their studies, which will involve the practical implementation of technologies for creating polymer composite materials and products.
Copyright (c) 2026 Юрий Евгеньевич Якубовский, Лариса Батыевна Хайруллина, Сергей Вячеславович Александров, Анна Николаевна Лыкова (Автор) https://creativecommons.org/licenses/by-nc/4.0
PROBLEMS OF TRAINING ENGINEERING STAFF FOR THE POLYMER PROCESSING INDUSTRY
This article addresses the challenges of engineering education in the polymer processing industry, as well as the production and implementation of plastics in mechanical engineering. An analysis of the higher education market revealed the need for an educational program in “Polymer Materials and Technologies.” By examining the stages of the polymer life cycle, a niche in the polymer industry was identified whose needs for qualified personnel would be addressed by a master’s program. Using a master’s program as an example, the author highlights key points that, in his opinion, should be considered when developing educational programs in the natural sciences and engineering. Emphasis is placed on educational methods and technologies that foster the development of highly qualified specialists with a broad professional range, excellent communication skills, digital literacy, and a high sensitivity to innovation. A practice-oriented, project-based learning approach was chosen as the educational model. The entire educational program is built around projects. The educational process is divided into project stages with their own checkpoints and discipline-specific links, which form a block of mandatory courses and a block of elective courses. The courses are taught in accordance with the project stages. All types of practical training are integrated into the projects. During practical classes, seminars are included to simulate cooperation between future design engineers and process engineers, taking into account the division of labor at production sites in the polymer industry. It is shown that even during the training stages, future process engineers learn to work in a team with future design engineers, and in addition to professional competencies, soft skills are developed. The combination of traditional and new learning formats allows for the development of a competitive educational program.
Copyright (c) 2026 Наталья Николаевна Грызунова (Автор) https://creativecommons.org/licenses/by-nc/4.0
PROFESSIONAL DEVELOPMENT OF THE MANAGEMENT TEAM OF A PROFESSIONAL EDUCATIONAL INSTITUTION
The article is devoted to the problem of forming an effective professional development process for the management team of a professional educational institution, which involves selecting and developing optimal technologies, principles, and methods of training. Aim: to demonstrate to a wide range of teachers the experience of successful management of a professional educational institution that ensures the improvement of academic knowledge and the development of comprehensive competencies: strategic thinking, emotional intelligence, leadership skills, project management skills, and digital literacy. Results: the article examines the practical experience of leading educational institutions of secondary vocational education in the Novosibirsk Region and explores the degree of personal relationships between members of the teaching staff. The article formulates provisions that allow for understanding the specifics of the process of effective professional development of the management team of an educational institution in order to create an environment for the qualitative formation and intensive development of the process of professional adaptation of the management team of a professional educational institution.
technologies principles and teaching methods
Copyright (c) 2026 Михаил Константинович Романченко, Анатолий Михайлович Романченко, Гордей Михайлович Пахневский (Автор) https://creativecommons.org/licenses/by-nc/4.0
HARMONIZED MASTER PROGRAMS AS A TOOL FOR ORGANIZING INTERDISCIPLINARY TRAINING OF ENGINEERS
The modern labor market demands engineers to be able to identify and solve complex problems at the intersection of various scientific and technological fields. The existing tools such as interdisciplinary courses and projects, or Double Degree programs either solve a particular, narrow spectrum of tasks or require significant resources to master. This article presents a fundamentally new approach to organizing systemic interdisciplinary training: harmonized master programs. Aim: to identify stakeholders’ demand for interdisciplinary training of engineers and to propose a mechanism for developing harmonized master programs. Methodology: a survey of potential employers’ and engineering bachelor students’ opinions was conducted to determine in-demand pairs of master programs, as well as the level of interest in applying for harmonized master programs. An algorithm for curricula harmonization has been developed. Results: the survey confirmed high interest in interdisciplinary training among both stakeholder groups and identified the most relevant combinations of majors. The developed algorithm for aligning two master programs includes decision support models for selecting pairs of programs, comparing competencies, distributing disciplines by category, and calculating the amount of credits for transfer. The overall workload of the two master programs can be reduced by up to 60 credits, allowing students to complete both programs in 2.5 years. This mechanism has been successfully piloted at Tomsk Polytechnic University during the launch of four harmonized master programs. The proposed approach ensures the development of interdisciplinary competencies demanded by the labor market and enhances the competitiveness of graduates, educational programs, and the university as a whole.
Copyright (c) 2025 М.Ю. Червач, Ю.П. Похолков (Автор) https://creativecommons.org/licenses/by-nc/4.0
USING STUDENT SATISFACTION SURVEYS TO EVALUATE ONLINE COURSES
This study investigates the satisfaction of engineering students with online courses. A comprehensive assessment approach was employed, including the analysis of the Customer Satisfaction Index, the Net Promoter Score, the Technology Acceptance Model, the Expectancy-Disconfirmation Theory, and the Community of Inquiry framework. The research methodology involved a comprehensive analysis of questionnaire design principles for assessing satisfaction with online courses, focusing on factors such as technical accessibility, content quality, and tutor support. The results of this analysis informed the development of a questionnaire survey to collect data on student satisfaction with an online-course. Empirical data revealed that approximately 20% of students reported shortcomings related to technical aspects and the quality of textual materials. Based on a theoretical interpretation of the findings through the lenses of Technology Acceptance Model, Expectancy-Disconfirmation Theory, and Community of Inquiry, a set of practical recommendations was developed, with a central focus on feedback automation mechanisms. The study proposes specific solutions, including the integration of chatbots into Learning Management Systems, the use of learning analytics for proactive monitoring, natural language processing for qualitative data analysis, and the automation of content quality control. This research contributes to the theory and practice of online learning by demonstrating the benefits of a comprehensive assessment approach for optimizing the educational process and increasing student satisfaction, while also providing a toolkit for creating a continuously improving educational environment.
Copyright (c) 2025 О.Н. Брега (Автор) https://creativecommons.org/licenses/by-nc/4.0
ARTIFICIAL INTELLIGENCE IN THE EDUCATION OF FUTURE ENGINEERS: FOCUS ON THE SUBJECT AREA
The article discusses the impact of artificial intelligence on engineering education in the focus of teaching the discipline “Physics”. An attempt has been made to demonstrate the capabilities of artificial intelligence to solve the problems during the development of a physics course in engineering university, related to the low level of mathematical training of junior students, the difficulty of visualizing many abstract physical concepts, and a large volume of practical tasks. The authors proposed the methods of organizing teacher–student interaction when using artificial intelligence in the course of teaching physics. Based on an online survey of 326 students of 1–2 courses of technical training, conducted on the Yandex Forms platform, the authors revealed the involvement and attitude of students to using artificial intelligence during training. Most students treat artificial intelligence as an additional rather than the main source of learning. According to students, lecturers rarely discuss or formulate policies on the use of artificial intelligence, which is a significant uncertainty. The question of the possibility of officially introducing artificial intelligence into education is of interest to students, but also the need for clear rules and controls. In the course of the study of the opinion of teachers of the disciplines of the natural science cycle, it was revealed that they quite confidently perceive artificial intelligence as a technical assistant. The low level of their trust in artificial intelligence in making pedagogical decisions is due to a lack of practice and a lack of proven models. There is a potential for increased trust and willingness to adopt new approaches with methodological and administrative support. On the other hand, the introduction of artificial intelligence into the educational process poses the risk of losing the ability to think outside the box, becoming dependent, and diminishing the creative qualities of both teachers and students. This path requires rethinking and improving the didactic foundations of disciplines in engineering education.
Copyright (c) 2025 А.Ф. Смык, Е.А. Гусева (Автор) https://creativecommons.org/licenses/by-nc/4.0
“LIV ING FORCE” INTEGRAL AND REDUCTION OF THE ORDINARY DIFFERENTIAL EQUATION ORDER: METHODICAL PARALLEL BETWEEN TOPICS OF PHYSICS AND MATHEMATICS COURSES
The paper considers the justification of the relationship between Newton’s second law and the law of conservation of energy in the simplest case, when we deal with rectilinear motion of a material point under the variable force. The mathematical demonstration of this relationship is compared with the reduction of the differential equation order, the method of solving of differential equations being studied at math classes by junior students – physicists and engineers. The preliminary analysis of modern scientific methodological publications shows the relevance of developing actual methods of linking academic disciplines. The consideration of materials taken from physics and mathematics courses allows us to create a methodical parallel useful both for physical and mathematical studying. Aim. To discover correspondence between algorithms and significations of ordinary differential equations (order reduction) and those of classic mechanics (Newton’s second law and energy conservation). After consideration in general terms the parallel between topics from physics and math courses, we show the solution of a math problem, which could illustrate the detected parallel in math classes. Novelty. The authors have built the methodical parallel between some topics from physics and math courses. This allows demonstrating linking of disciplines rarely shown practically in classes. Methodology and methods. Analysis of modern scientific methodological publications about linking physics and math courses in higher education (physical and technical study directions); creation of methodical parallel between two linked topics of physics and mathematics courses; analysis of educational examples applying our methodical idea. Results. The analysis of scientific methodological publications shows the problems in physics education noted by professors: it is difficult for students to connect in their mind math methods and their application in physics; math courses are sometimes too formal and far from physics. The paper discusses the methodological approach to solving the problems; gives the example of physics and math reasoning to show how the methodology works.
reduction of the order of differential equation
Copyright (c) 2025 Т.Р. Степанова, М.Р. Бортковская (Автор) https://creativecommons.org/licenses/by-nc/4.0
FORMS AND TOOLS OF FEEDBACK IN EDUCATION
The article is devoted to the study of the role of feedback in the educational process, its forms and tools, as well as the development of proposals for their optimization and implementation into modern practice. The relevance of the topic is due to the importance of feedback for improving the quality of education, motivating students, and developing professional competencies among teachers. The aim of the article is to analyze existing approaches to feedback, identify their strengths and weaknesses, and propose recommendations for integrating traditional and digital methods. The research methodology includes qualitative and quantitative analysis of data obtained through a review of scientific literature and surveys of educators and learners. The main findings of the study confirm the necessity of combining various forms of feedback (oral, written, digital) to achieve maximum effectiveness. Key factors, affecting the choice of feedback methods, were identified, along with preferences of participants in the educational process. The novelty of the work lies in the development of a comprehensive approach to feedback that takes into account individual needs of learners and characteristics of the educational context. Practical recommendations are aimed at enhancing teacher qualifications, creating integrated feedback systems, and regularly updating the tools used. The target audience consists of educators, educational institutions, and specialists in pedagogical management interested in improving curricula and enhancing the quality of the educational process.
Copyright (c) 2025 Н.В. Меллер, И.Ю. Некрасова (Автор) https://creativecommons.org/licenses/by-nc/4.0
JUSTIFICATION OF TRAINING SPECIALISTS IN THE PROGRAM «ECONOMIC SAFETY OF ENGINEERING SOLUTIONS IN TRANSPORT» IN MODERN CONDITIONS
Engineering emerged as a form of entrepreneurial initiative based on economic aspects. All engineering projects should have a competitive advantage by combining price and efficiency. In the context of global economic constraints, the Russian transport sector faces increased risk. Transportation models for different user groups are changing, routes and methods of transportation are being adapted, and booking systems are being improved. These changes entail risks and challenges that affect the stability and productivity of the Transportation industry. The current economic environment has a significant impact on the transport industry. Recently, some passenger transportation routes and destinations have been completely decommissioned. At the same time, there is a change in the structure of transit cargo transportation, which entails the need to adapt and rethink logistics networks. The deepening of economic ties with the states of the East against the background of the aggravation of relations on the western borders requires the adaptation of logistics infrastructure, including the redistribution of vehicles, as well as an increase in the use of traction resources and repair facilities. These factors highlight the impact of the external environment on the transport industry. In addition to the economic environment, decisions can play a significant role, for example, rail transport is facing internal problems due to its historical development and the reforms carried out in recent years, which also contributes to the overall complexity of managing this sector. The transformation of the transport industry led to an increase in the number of participants involved in the process, and revealed key requirements for ensuring economic security in transport. At the same time, economic security in transport involves an integrated approach to threat analysis and the development of management strategies and protective measures.
Copyright (c) 2025 М.М. Скорев, А.В. Жигунова (Автор) https://creativecommons.org/licenses/by-nc/4.0
PROJECT-ORIENTED LEARNING IN ELECTRIC POWER ENGINEERING: DEVELOPMENT OF INTEGRATED SOLUTIONS FOR POWER TRANSMISSION LINES
The purpose of this work is to demonstrate the experience of implementing a project-oriented approach in training students specializing in “Electric Power and Electrical Engineering” through the example of a comprehensive development of solutions for power transmission lines. The project encompasses three key components: engineering design of power transmission lines; monitoring and diagnostic technologies; and robotic maintenance. The implementation stages are outlined as follows: project initiation, team formation, analysis of regulatory and technical documentation (electrical installation rules; rules for the technical operation of electrical installations of consumers; building codes and regulations), structural design, development of diagnostic algorithms, creation of robotic systems, and public defense of results. Through collaboration with industry partners, notably the diversified energy company JSC “SUENKO,” students gained access to a training ground equipped with modern microprocessor-based devices and full-scale power transmission line support structures. Verification of design solutions employed 3D modeling, numerical analysis, and field testing of developed prototypes. The outcomes include substantiated engineering solutions, monitoring algorithms, robotic system prototypes, and submissions for grants at various levels. The project facilitated the integration of knowledge from disciplines such as Electrical Engineering, Instrumentation, Mechatronics, and Robotics, while fostering teamwork skills and industry expert engagement. Emphasis was placed on the authenticity of tasks aligned with energy safety requirements and technological constraints. The project execution confirmed the efficacy of a phased approach combining theoretical training with practical validation of solutions.
Copyright (c) 2025 И.С. Сухачев, П.В. Чепур, А.А. Колядко (Автор) https://creativecommons.org/licenses/by-nc/4.0
RATIONALIZATION IN INCREASING LABOR PRODUCTIVITYAND THE DEVELOPMENT OF FUTURE ENGINEERS
Rationalization is the foundation for increasing labor productivity in the country and a crucial aspect in the development of future engineers. Aim. To analyze the role of rationalization in engineering and education. Novelty. Increasing labor productivity requires the development of mass creativity, coupled with the targeted cultivation of «engineering special forces» and government and business support for small technology companies. The revival of youth creativity traditions requires its support in continuous education through the coordinated (conceptually and organizationally) work of mentors. Involving young people in work and developing the ability to «think with their hands» is reflected in the term «educational and technological sovereignty». Methodology and research methods. Systemic-dialectical, interdisciplinary, normative-historical, activity-based approaches, concepts of «educational education», «public education», «developmental education», developments in theories of inventive problem solving, effective solutions and creative personality development. Results. An understanding of the prospects for developing rationalization to increase labor productivity shows that the «fulcrums» in this regard are linked not only to the legal sphere and the awareness of business leaders of the inevitability of socio-technological change, but also to government support at all levels and business support for youth creativity in the system of continuous education. Developing a mentoring framework for this work requires particular attention.
Copyright (c) 2025 В.В. Лихолетов (Автор) https://creativecommons.org/licenses/by-nc/4.0
SELECTING THE CONTENT OF FOREIGN LANGUAGE TEACHING IN ENGINEERING EDUCATION
The article analyzes existing approaches to selecting the content of teaching foreign languages for engineering education. The paper highlights the potential problems and opportunities for improving the process of creating specialized engineering content, which is the basis for the foreign language professional communicative competence. The authors specify the principles for the content selecting, which makes it possible to determine the sequence of steps in the algorithm for selecting specialized foreign language content. Based on the identified principles, the authors proposed an algorithm for selecting training content using the example of the subject area “Information technology and software engineering”. Artificial intelligence tools are used as modern research methods. The paper gives a detailed description of prompts for neural networks for visually representing the possibilities of such tools in selecting foreign language content. The described process is illustrated with examples of English language teaching content for students in the field of information technology. The proposed principles and algorithm for selecting training content can be extrapolated to other foreign languages taught and studied in technical universities.
principles of training content selection
neural networks for selecting training content
Copyright (c) 2025 Д.К. Воронина, С.Е. Цветкова (Автор) https://creativecommons.org/licenses/by-nc/4.0
LARGE LANGUAGE MODELS AS A TOOL IN PHYSICS TRAINING OF FUTURE ENGINEERS
The article is devoted to the study of the possibilities of large language models in teaching physics to engineering students. The relevance is conditioned by the necessity of personalisation of physics teaching and selection of technologies adequate to the tasks of knowledge-intensive production, digital economy and cognitive abilities of modern students. The aim of the study is to analyse the functionality and identify the advantages of large language models in personalisation and efficiency of physics teaching. The research methodology is based on the concept of lifelong learning, open learning model of physics, blended learning method, and empirical method of studying the didactic possibilities of large language models. The author proposed the methods of personalisation of the educational process, ways of developing a new type of tasks related to the application of large language models, recommendations on formulating criteria for evaluating the results of learning activities are. It was demonstrated that GPT-4o and Claude 3.5 Sonnet in the course of contextual dialogue can explain solutions to most physics problems offered to engineering students, but under the condition of critical analysis of all stages of the solution. The practical significance of the work lies in the development of methods of using large language models to automate the procedure of test creation and their embedding in Moodle, visualization of physical processes, organization of interactive classes in the format of blended learning. New pedagogical methods such as: competitions using large language models, contextual dialogue with neural networks, using their computational capabilities in carrying out similar calculations are of applied value. The conclusion emphasises the need to adapt educational programmes to the capabilities of large language models and to conduct further research into their didactic potential.
engineering education in the digital era
artificial intelligence in physics education
Copyright (c) 2025 А.И. Назаров (Автор) https://creativecommons.org/licenses/by-nc/4.0
INTELLECTUAL AND INNOVATION POTENTIAL OF PERSONNEL AS A TOOL FOR GROWTH OF COMPETITIVENESS OF ENTERPRISES
Relevance of the paper is caused by the fact that modern economy is characterized by a high level of competition and rapid changes in technology. For enterprises, success and sustainability depend on the ability to effectively respond to market changes, implement innovative solutions and maintain a high level of quality of products and services. One of the key factors of enterprise competitiveness is the intellectual and innovative potential of human resources – the ability of employees to create new knowledge, ideas and technologies necessary for business development. The research is aimed at determining the relationship between the intellectual-innovative potential of human resources and enterprise competitiveness. The authors have investigated the category “intellectual-innovative potential” and defined its components. The paper proposes the components of enterprise competitiveness. The study analyzed the relationship between intellectual-innovative potential and competitiveness of the enterprise using Pearson correlation coefficient. The results of calculations showed a high positive correlation between the level of intellectualinnovative potential of employees and competitiveness of enterprises. The results of the study show that it is necessary to form effective mechanisms of interaction between educational institutions, scientific organizations and industrial enterprises. Creation of self-developing information and educational system for the development of intellectual-innovative potential of personnel will become an effective tool for the formation of intellectual-innovative potential of personnel.
self-developing information and educational system of development of intellectual-innovative potential of personnel
Copyright (c) 2025 Е.В. Полицинская, Е.Ю. Малушко, Е.Ю. Ягова (Автор) https://creativecommons.org/licenses/by-nc/4.0
NEURODIDACTIC MODEL AS A TOOL FOR IMPROVING THE QUALITY OF TRAINING SPECIALISTS IN AN ENGINEERING UNIVERSITY
The relevance of this study is due to the ever-growing shortage of engineering personnel in megacities, which are complex socio-economic systems, where engineering work is becoming one of the key factors of sustainable development. The most important task for the effective functioning of social and labor relations in megacities is the creation of new tools for assessing, forecasting and adapting human resources, including using modern digital technologies such as neural networks and blockchain. In this context, the authors of the article consider the possibility of using blockchain technologies and smart contracts in the field of social and labor relations of engineers in a megalopolis. The authors proposed a method for supporting management decisions as a set of digital tools including neural network algorithms, big data analysis and dynamic matching of applicant profiles and employer requirements. The authors developed the system for forming a digital “portrait of skills” of a graduate in the context of a dynamic, updated profile, reflecting his professional and personal competencies confirmed by digital “traces”. The proposed system for forming a digital “portrait of skills” of an engineer and a neural network method for comparing the formed skills with the requirements of employers in a metropolis were tested in metropolises universities and partner companies with a shortage of highly qualified engineering personnel.
Copyright (c) 2025 О.Т. Ергунова, В.Г. Лизунков, А.Г. Сомов, А.А. Седякина (Автор) https://creativecommons.org/licenses/by-nc/4.0
ROLE OF ENGINEER PEDAGOGICAL TECHNOLOGY IN PREVENTIVE LABOR PROTECTION MEASURES: DEVELOPING SELF-REGULATION SKILLS
The article presents the data of a study of the relationship between the component of pedagogical technology (self-regulation) possessed by an engineer and the results of preventive measures on labor protection. The empirical basis of the study consists of the analysis of the main professional educational programs of universities that train specialists working at innovative enterprises (57 respondents) and the survey of engineers, in which 242 respondents took part. The study used the emotional intelligence test EmIn by D.V. Lyusin and the methods of diagnosing motivation to achieve success and avoid failure by T. Ehlers. In addition, the authors have carried out an expert assessment of professional success and collected the data on the length of service of respondents. The methods of mathematical data processing: methods of descriptive statistics, correlation analysis, were used. The results showed that engineers implementing preventive measures on labor protection often learn pedagogical technologies, copying the experience of school teachers. Emotional intelligence has a positive effect on achievement of motivation and promotes the constructive use of negative emotions. The obtained results can serve as a basis program of pedagogical skills and emotional intelligence in engineers.
Copyright (c) 2025 Д. Р. Мерзлякова, А. А. Мирошниченко (Автор) https://creativecommons.org/licenses/by-nc/4.0