infojournalИнформатика и образованиеInformatics and education0234-04532658-7769Publishing House Education and Informatics10.32517/0234-0453-2022-37-6-69-74infojournal-886Research ArticleЗАРУБЕЖНЫЙ ОПЫТFOREIGN EXPERIENCEКогнитивный подход к формированию робототехнической системы в образованииCognitive approach to the formation of a robotic system in educationhttps://orcid.org/0000-0003-3743-6513КрамаровС. О.KramarovS. O.

 Крамаров Сергей Олегович, доктор физ.-мат. наук, профессор, советник президента университета, профессор кафедры технологии и профессионально-педагогического образования

 г. Москваг. Ростов-на-Дону

 Sergey O. Kramarov, Doctor of Sciences (Physics and Mathematics), Professor, Advisor to the President of the University, Professor at the Department of Technology and Vocational Pedagogical Education, Academy of Psychology and Educational

 Moscow Rostov-on-Don

maoovo@yandex.ruhttps://orcid.org/0000-0003-1848-8174ХрамовВ. В.KhramovV. V.

 Храмов Владимир Викторович, канд. тех. наук, доцент, ведущий научный сотрудник

г. Ростов-на-Дону

 Vladimir V. Khramov, Candidate of Sciences (Engineering), Docent, Leading Research Fellow

Rostov-on-Don

vxpamov@inbox.ruhttps://orcid.org/0000-0001-7178-1826ИшикларА.IşiklarА.

 Ишиклар Абдулла, доктор наук, профессор кафедрыпсихологии, факультет гуманитарных и социальных наук

г. Бурса

 Abdullah Işiklar, Prof. Dr., Department of Psychology,Faculty of Humanities and Social Sciences

Bursa

abdullah.isiklar@btu.edu.trМИРЭА — Российский технологический университет; Южный федеральный университетРоссияMIREA — Russian Technological University; Southern Federal UniversityRussian FederationЮжный университет (ИУБиП)РоссияSouthern University (IMBL)Russian FederationТехнический университет БурсыТурцияBursa Technical UniversityTurkey2022210120233766974Copyright © Крамаров С.О., Храмов В.В., Ишиклар А., 20232023Крамаров С.О., Храмов В.В., Ишиклар А.Kramarov S.O., Khramov V.V., Işiklar А.This work is licensed under a Creative Commons Attribution 4.0 License.https://info.infojournal.ru/jour/article/view/886

В статье рассматриваются особенности моделирования систем управления образовательными процессами с применением роботов-ассистентов на основе когнитивного подхода. Основной задачей исследования являются вопросы использования гибридного человеко-машинного интеллекта в системе образования. Авторами предложен новый вариант применения нечетких когнитивных карт и возможностей соответствующих программных систем для решения ряда практических задач на примерах автоматизированного обучения. В рамках когнитивного подхода, который позволяет учитывать различные языковые особенности людей, возможно использование соответствующих нечетких когнитивных карт, которые позволяют определять причинно-следственные сети, отражающие субъективное представление исследователей о системе в виде множества семантических категорий, называемых факторами или концептами.

В исследовании показано, что при учете НЕ-факторов, имеющих место в образовательном процессе, а также возможностей их применения для формирования индивидуальных траекторий обучения в условиях применения человеко-машинного интеллекта можно получать принципиально новые возможности для подготовки кадров.

Авторами предложена нечеткая когнитивная модель стратегического управления с участием робототехнической системы, выявлены основные концепты для ее построения и анализа. Выполнена идентификация параметров когнитивной карты с применением принципов интеллектуальной генерации лучших альтернатив, основанной на модифицированном методе парных сравнений. Исследование ориентировано на сотрудников учебных заведений, отвечающих за цифровизацию образования, и на преподавателей.

The article deals with the features of modeling systems for managing educational processes using robot assistants based on a cognitive approach. The main objective of the study is the use of hybrid human-machine intelligence in the education system. The authors propose a new version of the use of fuzzy cognitive maps and the capabilities of the corresponding software systems to solve a number of practical problems using examples of automated learning. Within the framework of the cognitive approach, which allows to take into account the various linguistic features of people, it is possible to use appropriate fuzzy cognitive maps that allow you to determine cause-and-effect networks that reflect the subjective view of researchers about the system in the form of a set of semantic categories called factors or concepts.

The study shows that taking into account the NON-factors that take place in the educational process, as well as the possibilities of their application for the formation of individual learning trajectories in the context of the use of human-machine intelligence, it is possible to obtain fundamentally new opportunities for training personnel.

The authors propose a fuzzy cognitive model of strategic management with the participation of a robotic system, identify the main concepts for its construction and analysis. The parameters of the cognitive map are identified using the principles of intelligent generation of the best alternatives based on the modified method of pair comparisons. The study is aimed at employees of educational institutions responsible for the digitalization of education and teachers.

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The authors declare that there are no conflicts of interest present.