Aerospace Technic and Technology

The subject of this article is the development of a specialized model for synthesizing academic schedules in aerospace higher education institutions (AHEI) based on fuzzy set theory and accounting for circadian rhythms, psychological load, and cognitive compatibility of disciplines for educational process participants. The research objective is to enhance the efficiency of the educational process in AHEI by supplementing scheduling tools with a multi-criteria model that ensures a balance between the technical constraints of the educational institution, the biological characteristics of participants, and the effectiveness of cognitive learning. Tasks requiring resolution include conducting a comparative analysis of existing scheduling approaches based on human factor consideration criteria, developing mathematical models of circadian activity and psychological load, creating an adaptive learning-based evolutionary optimization algorithm for schedule synthesis, and experimentally validating the proposed model. The applied formal apparatus includes mathematical modeling of biological rhythms, fuzzy set theory, genetic optimization algorithms, and machine learning methods for parameter adaptation. During the research, a multi-criteria model was developed, incorporating a circadian activity function for different age groups, a psychological load function accounting for discipline entropy and transitions between classrooms, and a cognitive compatibility matrix of disciplines. A modified genetic algorithm was created using tournament selection, two-point crossover, and local search for elite individuals. Experimental verification with student groups (n = 306) demonstrated a 13% increase in average academic performance, a 28% reduction in cognitive load, and a 39% improvement in subjective comfort assessment. The primary application domain of the developed model is scheduling for technical specialties with high cognitive load. Conclusions. The research results confirmed the relevance of an anthropocentric approach to educational process scheduling in AHEI, accounting for individual chronotypes of participants, psychological load, and cognitive compatibility of discipline sequences, and enabled optimization parameter selection justification considering the specificity of aerospace higher education institutions, chronotype distribution in student groups, and quality requirements for education. The scientific novelty of the obtained results lies in the creation of a multi-criteria schedule synthesis model that comprehensively considers circadian rhythms, psychological load, and cognitive compatibility of disciplines based on mathematical models of human biological activity, enabling increased educational process efficiency through optimal alignment of class timing with biological and psychological characteristics of participants, as well as improved knowledge acquisition quality through optimal discipline sequencing from the perspective of their cognitive compatibility.

aerospace higher education institution; anthropocentric scheduling; circadian rhythms; academic schedule; genetic algorithms; fuzzy logic; cognitive compatibility; psychological load; chronotype; schedule optimization; adaptive learning

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