Abstract
Improving the efficiency of the use of cognitive learning systems in education directly depends on the ability of the system to make reasonable decisions in the formation of didactic tools. One of the methods to improve the efficiency of functioning of cognitive learning systems is to improve the functioning algorithm of system analysis. Improving the individual components of system analysis has expanded its functionality and qualitatively changed its options. Using the advantages of the advanced functionality of system analysis enabled us to develop a cognitive learning system that forms didactic tools considering the psycho-factors of the participants of educational process. The goal of the article is to study methods for designing and expanding the functional capacities of cognitive learning systems and system analysis methods. Methodological basis is formed of comprehensive application of complementary approaches in which the system analysis considers the educational environment as a complex system containing interconnected subsystems. The main ones of them were the structural analysis method, comparison method, decomposition and aggregation method. Results. Improving the efficiency of use of the cognitive learning system and increasing its accuracy in the analysis of the educational situation while choosing pedagogical methods for teaching the educational material was achieved by improving the functionality of system analysis. Improving the accuracy of the implementation of system analysis was also achieved through the use of ‘fuzzy elements’ in the analysis and synthesis node of the cognitive learning system. The use of ‘fuzzy elements’ enabled the learning system to make corrections to the input data received at the beginning of task execution and to give adjusted administration commands to the algorithm correction node of the system analysis.
Highlights
Systems is to improve the functioning algorithm of system analysis
Using the advantages of the advanced functionality of system analysis enabled us to develop a cognitive learning system that forms didactic tools considering the psycho-factors of the participants of educational process
Methodological basis is formed of comprehensive application of complementary approaches in which the system analysis considers the educational environment as a complex system containing interconnected subsystems
Summary
Systems is to improve the functioning algorithm of system analysis. Improving the individual components of system analysis has expanded its functionality and qualitatively changed its options. Using the advantages of the advanced functionality of system analysis enabled us to develop a cognitive learning system that forms didactic tools considering the psycho-factors of the participants of educational process. Для реализации поставленных целей задачей настоящих исследований является усовершенствование системного анализа при принятии решений в учебной ситуации. При анализе количественных и качественных характеристик однородных компонентов процесса обучения применялся структурный анализ и метод сравнения.
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