Headings of the journal
"Educational Resources and Technologies"
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Release: 2026-2 (55)
DOI: 10.21777/2500-2112-2026-2-98-115
Keywords: domain ontologies, amorphous alloys, electron microscopy, instrumental complex, atomic structure, meta-ontology
Annotation: High-resolution electron microscopy (HREM) investigations of amorphous alloys generate extensive image datasets. However, the absence of a standardized data representation framework impedes interpretation, com- promises research reproducibility, and limits the reuse of experimental results. This study proposes a multi-level ontology model that formalizes the complete experimental workflow, encompassing microscope parameters, alloy characteristics, clustering outcomes, and atomic structure analysis. The model is described using applied logic language as formalism. The model comprises three interconnected levels that define the domain-specific terminology, the methods and their parameters required for processing experimental data, and the structure for representing information about specific experiments, associated image series, identified clusters, and atomic points. The modular, three-tiered architecture of ontology ensures extensibility, component reuse, and strict semantic integrity of data. The developed model forms the basis of a software complex supporting end-to-end processing and analysis of electron microscopy image data.
FORMALIZED METHOD FOR ANALYSIS AND QUANTITATIVE ASSESSMENT OF CRM SYSTEM DEVELOPMENT OPTIONS IN THE CONTEXT OF CHANGING BUSINESS PROCESSES
Release: 2026-1 (54)
DOI: 10.21777/2500-2112-2026-1-104-112
Keywords: CRM system, multi-criteria analysis, analytic hierarchy process (AHP), TOPSIS method, key performance indicators (KPI), formalized methodology
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.
ADAPTIVE TRACING METHODS FOR DISTRIBUTED APPLICATIONS BASED ON SELF-LEARNING SAMPLING
Release: 2026-1 (54)
DOI: 10.21777/2500-2112-2026-1-113-121
Keywords: microservices, observability, distributed tracing, sampling, telemetry, self-learning algorithm, adaptive monitoring, machine learning
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.
A HYBRID APPROACH FOR OPTIMIZING INDIVIDUAL EDUCATIONAL TRAJECTORIES BASED ON MODELING INTER-COMPETENCE RELATIONSHIPS
Release: 2026-2 (55)
DOI: 10.21777/2500-2112-2026-2-116-129
Keywords: individual educational route, routing, indicators of achievement of competencies, minimization of training time, intercompetence links, expert assessment, genetic algorithm, systems approach
Annotation: The article describes the process of developing competencies, taking into account the time it takes to achieve them. A systems approach allowed us to formulate the problem of constructing an individual educational route while minimizing training time. A mathematical model is proposed as a modification of the routing problem. A directed weighted graph is used to represent the initial data, where the vertices represent competency achievement indicators, and the arc weights reflect the asymmetric impact of the sequence of studying educational topics on time costs. A hybrid approach has been developed that com- bines neural network technologies and classical expert assessment methods to automate the identification of intercompetency connections between educational technologies. An application software module based on a genetic algorithm is used to create an individual educational route. An example of the practical application of the proposed approach based on the “Digital Literacy” educational module is described. A computational experiment confirming the effectiveness of the proposed approach for creating individual educational routes that minimize time costs while maintaining the complete acquisition of the required competencies is conducted.
THE MAIN PROVISIONS OF PHILOSOPHICAL ANTHROPOLOGY: A CONVERSATION WITH MODERN STUDENTS (HISTORICAL AND PHILOSOPHICAL, WORLDVIEW AND DIDACTIC ASPECTS)
Release: 2026-1 (54)
DOI: 10.21777/2500-2112-2026-1-122-133
Keywords: teaching philosophy, anthropology, evolutionism, creationism, psychophysical problem, physicalism, spiritual- ism, free will, determinism, indeterminism, reductionism, anti-reductionism
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.