ENSURING THE RELIABILITY OF SHORT-TERM TRAINING RESULTS THROUGH ITS ALGORITHMIZATION IN THE EDUCATIONAL QUALITY MANAGEMENT SYSTEM

Abstract

Introduction. The article theoretically substantiates algorithmization as a mechanism for ensuring the reliability of short-term educational projects within the framework of adaptive management of military-applied training for students. The study focuses on intensifying the formation of procedural skills under conditions of limited time and strict operational requirements. In military-applied training, the stability, safety, and accuracy of performing standardized actions directly determine learning outcomes.

The research methodology is based on the integration of systemic, activity-based, competency-based, and cognitive approaches. A set of methods was applied, including structural-functional, comparative, and systemic analysis of scientific literature, pedagogical modeling, and theoretical generalization. The theoretical foundation of the study includes concepts of learning algorithmization, simulation-based education, adaptive educational management, digitalization, and verification of educational outcomes.

The findings demonstrate the role of algorithmization in structuring the educational process, modeling procedural skills, reducing cognitive load, and standardizing practical actions performed by students. In short-term educational projects, algorithmization combines pedagogical and managerial functions, enabling continuous monitoring, timely identification of deviations, and operational adjustment of the learning process. The highest effectiveness of algorithmized instructional tools is achieved when combined with simulation technologies, formative assessment, and adaptive management mechanisms.

A conceptual model of algorithmized military-applied training has been developed, integrating the sequential formation of procedural skills, simulation-based practice, monitoring, and adaptive correction. The practical implementation of the model contributes to the stabilization of students’ actions, minimization of critical errors, and long-term retention of acquired skills, thereby increasing the overall reliability of learning outcomes.

Results. The study substantiates algorithmization as a fundamental mechanism for ensuring the reliability of educational outcomes in short-term learning projects. The proposed model provides procedural standardization, supports adaptive management decisions, reduces the probability of critical performance errors, and enhances the sustainability of acquired competencies under intensive training conditions.

Prospects. Further research should focus on the empirical verification of the proposed model in military-applied and professional training environments, the development of digital tools for automated monitoring of procedural performance, and the integration of algorithmized learning pathways with learning analytics and artificial intelligence technologies.