Implementation of Decision-Making Mechanism in the Intelligent Tutoring System Based on the Expert Systems Module

Uglev V.A.

Дополнительные ссылки: eLibrary

База данных: Каталог библиотеки СФУ

Библиографическое описание: Implementation of Decision-Making Mechanism in the Intelligent Tutoring System Based on the Expert Systems Module : научное издание / V. A. Uglev. - Текст : непосредственный // Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications. - 2024. - Т. 34, № 3. - P. 744-750. - This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained. - ISSN 1054-6618. - ISSN 1555-6212, DOI 10.1134/S1054661824700615.

Аннотация: The article discusses the general principle of organizing an intelligent scheduler (solver) of an experimental intelligent tutoring system based on the mechanisms of expert systems and cognitive visualization. The FLM_Builder program module was used as the basis for implementing the scheduler. The specifics of the solver for the Python interpreter are described and the stages of forming expert system models are given. To illustrate the operation of the inference mechanism, the task of individualizing the composition of a training course with subsequent visualization in the notation of cognitive maps of knowledge diagnostics corresponding to the cross-cutting approach to the analysis of the educational situation in the tutoring system is considered.

Год издания: 2024

Авторы: Uglev V.A.

Издательство: Pleiades Publishing, Ltd., Moscow

Источник: Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications

Выпуск: Т. 34, № 3

Номера страниц: 744-750

Держатель оригинала документа: Department of Applied Physics and Space Technologies, Siberian Federal University

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