Annotation: The article addresses the problem of objective competency assessment for information security specialists. The relevance is driven by a shortage of qualified personnel and the necessity to transition from subjective to formalized methods amidst digital transformation. The aim is the development and experimental testing of a methodology based on the application of mathematical methods—specifically, the Analytic Hierarchy Process and fuzzy set theory. The scientific novelty lies in the synthesis of a specialized process-result competency model with quantitative multi-criteria evaluation methods, which minimizes subjectivity and yields an integral numerical indicator of proficiency level. The methodological foundation comprised theoretical analysis, expert survey, and a pedagogical experiment involving the assessment of a group of specialists. The results demonstrate that the proposed mathematical toolkit provides not only comparative ranking of specialists but also precise diagnostics of individual deficits in their professional profile. This establishes a basis for constructing personalized develop- ment pathways. The practical significance of the research lies in the potential for implementing the methodology into processes of certification, career planning, and the forming of individual professional development programs within state and commercial structures.

Annotation: The article analyzes the opportunities and risks of using artificial intelligence (AI) technologies in higher educa- tion. The relevance of the article stems from the difference in cognitive and technological positions regarding AI between teachers and students. For instance, students master digital tools faster, while teachers are more cautious and critical. The results of a sociological survey of students and teachers at the Ural State University of Economics served as the empirical basis of the study. A comparative analysis of the perception and practice of using AI was conducted between two key groups in the educational process: students and teachers. The study identified differences in the purposes for using AI and the readiness to integrate it into the educational process. The study reveals a societal demand for the institutionalization of AI competencies in higher education. The ar- ticle substantiates the need to modernize educational programs, taking into account the growing role of artificial intelligence, and emphasizes the importance of critically assessing the advantages and risks of neural networks for students’ effective knowledge acquisition. The results obtained expand the empirical base of research on the digital transformation of education and can be used in the development of university educational policies.

Annotation: The article empirically assesses the effectiveness of three models of higher education digitalization: the basic online learning system (Learning Management System, LMS); blended learning with self-Regulated learning mechanisms (SRL); the flipped classroom with analytics tools. A quasi-experimental study was performed, and a parameterized evaluation of the effectiveness of these learning models was determined. The initial diagnostic and academic performance indicators, as well as the digital readiness index, were used as the initial covariates. The final variable is the final control score, whereas additional indicators are engagement and dropout risk. The statistical analysis included the ANCOVA (Analysis of covariance) method with covariate control, logistic regression of dropout risk, and mediation analysis of the indirect effect via SRL with bootstrap estimation of confidence intervals. The research findings have yielded an integrative model wherein the pedagogical design of digital educational environments exerts an indirect influence on academic outcomes by developing self-regulated learning processes. The model assumes that: basic LMS support provides minimal support for self-regulation; blended learning with targeted self-regulatory learning mechanisms enhances goal setting, monitoring, and stra- tegic participation in learning; flipped classroom with analytics tools generates the most intense feedback cycles and adaptive regulation. Formally, the model is expressed by the following link: pedagogical design of digital learning – self-regulated learning – academic performance. These pedagogical configurations will allow us to consistently strengthen the impact on the development of self-regulated learning, which, in turn, will contribute to the growth of academic performance.

Annotation: The article presents a model of using didactic games in the process of teaching chemistry to medical students in order to improve the effectiveness of mastering this discipline by future physicians. The author notes and justifies the relevance of using didactic games in higher education. In order to expose the pedagogical potential of didactic games, a systematization of didactic games has been developed for the entire period of mastering chemistry disciplines by medical students. The systematization is based on the dominant didactic goal and the nature of students’ activities. Particular emphasis is placed on the methodological principles of developing and implementing didactic games: consideration of the specifics of higher education, systematic application, prac- tice-oriented approach, and the organic inclusion of chemical experiments. The author notes that the results of applying the model will be most successful if didactic games are used systematically in the educational process and have appropriate methodological content: practice-oriented tasks and the use of various types of chemical experiments. The validity of the proposed model is demonstrated.

Annotation: This article analyzes the relationship between publication activity of applicants to doctoral programs and the likelihood of their successful on-time thesis defence. The issue of empirically verifying publication background as a predictor of successful thesis defense is underrepresented in the Russian scientific literature, making this research topic relevant. This empirical study was conducted using data from the doctoral program at the Mos- cow Technical University of Communications and Informatics (MTUCI) and the Russian Science Citation Index (RSCI), a national bibliographic database. Bibliometric indicators of 121 postgraduate students were collected based on the initial data on those enrolled in postgraduate studies in 2017–2020 and those who graduated in 2021–2024. The analysis of the generated dataset confirms the correlation between the bibliometric indicators of doctoral program applicants and the probability of their successful on-time thesis defence. During the study, a methodology was developed for the integrated assessment of postgraduate students’ publication background. The research addresses the important and methodologically significant issue of assessing predictors of academic success in the training of highly qualified personnel.

Annotation: The article justifies the methodological and organizational conditions for using business games in the profes- sional training of future fire protection specialists. The article discusses the types of business games (simulation, organizational-activity, and role-playing games), the stages of designing and conducting a lesson, and the typical difficulties of implementation (scripting, teacher preparation, resource provision, and results evaluation). This article presents the results of testing the business game at the Ural Institute of State Fire Service of EMERCOM of Russia. It proposes criteria for evaluating students’ actions (decision efficiency, tactical soundness, quality of team interaction, and reflection) and shows how the indicators changed as a result of the lesson. The article concludes that integrating business games into tactical, specialized, and managerial training is advisable, pro- vided the described conditions are met. The study aims to substantiate the methodological and organizational conditions for using business games in firefighters’ professional training and to present the results of testing the game in a university setting. Methodology and research methods: the study was conducted within the framework of competence-based and activity-based approaches, drawing on the ideas of practice-oriented and simulation- based learning. The methods of theoretical analysis and generalization of scientific sources, modeling (designing a business game scenario), pedagogical observation, expert assessment of students’ actions, analysis of the results of tasks before/after the game, questionnaires/reflective sheets (if available) were used. The empirical part was implemented on the basis of the Ural Institute of State Fire Service of EMERCOM of Russia.

Annotation: The article is devoted to the problem of professionally oriented English language teaching based on media projects. The media project is considered as an effective tool for the forming of a student’s foreign language communicative competence in combination with the development of direct professional competencies. The article provides examples of projects that are used in the practice of teaching English to students of the training area 42.03.01 Advertising and public relations. The empirical study was based on a survey of students at Nizhny Novgorod Dobrolyubov State Linguistic University regarding the effectiveness of a media project. The authors of the article conclude that the digital media project promotes the natural integration of all the skills needed by a PR specialist with knowledge of a foreign language. The implementation of such projects allows students to master the tools of the 21st century, develop critical thinking, as well as increase motivation and engagement and turn the process of learning a foreign language into active creativity.

Annotation: The article is devoted to the analysis and generalization of the experience of advanced training for labor (tech- nology) teachers in robotics in the context of updating the content of technological education and introducing a modular approach to the school subject “Labor (technology)”. The article analyzes and summarizes a sig- nificant amount of empirical data on advanced training courses for teachers in robotics. The study developed an advanced training course for teachers, which was used as the basis for a pedagogical experiment. Based on the summarized experience, a methodology for conducting advanced training courses for labor (technology) teachers was developed and tested, which allows for the structuring of the training program for real educational organizations. Methodological recommendations have been developed for conducting advanced training for labor (technology) teachers in robotics. As one of the empirical sources of data, the study used the author’s long-term personal participation in advanced training courses on robotics, both as a student (between 2016 and 2023) and as a teacher (2025). The research results can be used in the development of advanced training courses for labor (technology) teachers and their self-training, followed by teaching robotics to students.

Annotation: The article touches upon the current problem of developing comprehension skills for special lectures in English among philology students. Despite having a high general level of language proficiency, students face significant difficulties in understanding authentic academic discourse due to its specific lexical, syntactic, and discursive features. The study aims to assess linguistics students’ current comprehension skills for specialized English- language lectures and to develop a methodological task package for improving these skills. The subject of the study is the process of teaching comprehension of specialized English-language lectures to students of language universities. The conducted empirical research revealed problematic areas in the development of a range of specific comprehension skills for lectures on linguistic topics in English, stemming from linguistic and socio- cultural difficulties inherent in the spoken text. Based on the diagnostic results that identified typical deficits in comprehension skills, a methodological task package was developed to foster these skills. The article emphasizes the necessity of a systematic, strategy-based approach to teaching academic comprehension, which goes beyond general language training.

Annotation: The article examines the future managers’ preparedness for career planning in conditions of high economic and social uncertainty. The study examines career components and the internal and external aspects of career de- velopment. It analyzes existing approaches to defining the concept of “career”, clarifying its content in light of professional activities under conditions of high uncertainty. This study demonstrates the role of self-management as a prerequisite for a successful managerial career and the extent to which psychological readiness components shape the future competitiveness of managers. The empirical study was based on a survey of students in the Management program. Analysis of the results revealed real difficulties in students’ career planning: low stress tolerance and a lack of habit in using psychological self-regulation techniques. The article proposes pathways for improving career planning skills among future managers based on psychological methods. It also provides recommendations for revising university educational programs to increase management students’ readiness to plan their professional careers in conditions of high uncertainty.

Annotation: The article is devoted to the development and empirical testing of a formalized methodology for analysis and assessment of CRM system development options in the context of changing business processes. The methodology is based on the integration of multi-criteria analysis and key performance indicator (KPI) monitoring methods. In order to select alternatives for the development of a CRM system, a combination of AHP–TOPSIS methods is used, which allows us to considerate the diverse technological, economic, organizational, managerial, and stra- tegic criteria with control over the consistency of expert assessments. During the study, a system of criteria was formed and refined, metrics for the effectiveness of the system reconfiguration procedure and validation criteria (expert agreement, stability of ranking to weight changes, KPI dynamics after implementation) were defined. An empirical test of the developed methodology was conducted based on the AmoCRM information system in a small/medium-sized business. The results of the empirical test showed a statistically significant improvement in key KPIs. The research results confirm the effectiveness of the proposed methodology and its applicability for improving the validity of decisions on the development of CRM systems.

Annotation: Modern microservice applications generate a significant amount of telemetry data necessary to ensure the observability and rapid diagnosis of incidents. However, full tracing of all requests becomes economically impractical due to the overhead of collecting, storing, and processing information. The article discusses methods of adaptive sampling of distributed tracing, which allow dynamically adjusting the amount of data collected depending on the current state of the system and query characteristics. The architecture of the tracing system is proposed, which includes a compo- nent of self-learning selection of traceable queries based on the analysis of metrics and query features. An algorithm is presented that combines system and behavioral criteria for evaluating the significance of queries. Experimental modeling has shown that the proposed approach can cover up to 90 % of abnormal cases while reducing the volume of telemetry by more than six times compared to the full collection. The results demonstrate the promise of adaptive sampling for increasing the efficiency of observability in microservice systems without increasing infrastructure load.

Annotation: The relevance of the topic is related to the general dehumanization of modern education, both secondary and higher, largely due to its digitalization. The object of the research is the theory and practice of teaching phi- losophy as a discipline of the federal educational component in higher education institutions. The subject of the research is the didactic features of studying the main issues, problems and ideas of anthropology as a branch of philosophical knowledge. The purpose of the work is to provide a pedagogical justification for the statement that when presenting educational material, it is possible to make any meaningful depth clear, as well as vice versa, to confuse and obscure even simple issues and ideas. The research methods are deductive and inductive reasoning, analogy, idealization, thought experiment, comparative analysis and pedagogical observation. The result of the work is substantiation of the simplicity, clarity and vitality of the material taught to students as the main means of achieving educational, developmental and educational learning goals. The results of the research can be ap- plied in the field of theory and practice of teaching philosophy and other social and humanitarian disciplines in higher education institutions.