Headings of the journal
"Educational Resources and Technologies"

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 presents a method for the automated preparation of technical specifications and related documenta- tion for automated systems in accordance with state standard 34. The proposed method combines text generation using large language models, supplemented by information search in verified sources, and a formal validation module that includes verification of completeness, consistency, traceability, and coverage of information security requirements. The method is adapted to the Russian regulatory framework and is focused on the use of domes- tic language models. During the experiment, four modes of operation were compared: manual preparation, generation without source search, using search without a validator, and the full proposed process. The results show a reduction in draft preparation time by up to 90%, an increase in section completeness by up to 98%, and a significant reduction in the number of typical errors. A quality assessment protocol is proposed, and an analysis of typical errors is provided. The method reduces labor costs and risks associated with incomplete and contradictory requirements.

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 describes the issue of evaluating the quality of texts generated by large language models when deployed locally in corporate information systems. The study focuses on analyzing the consistency between automatic evaluation metrics and expert assessment for short technical descriptions of data attributes. A medium-sized language model operating in a local computational environment with parameter optimization techniques was used as the research object. For the compiled dataset of generated texts, expert scores were obtained using a discrete rating scale, and automatic indicators reflecting semantic and lexical similarity to reference descriptions were calculated. Correlation analysis was performed, and a linear regression model was constructed to approximate expert evaluation based on automatic metric values. The results demonstrate that semantic metrics exhibit a high level of agreement with expert judgment and provide stable prediction of generation quality. The findings can be applied in automated validation and tuning of technical documentation generation systems.

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.