infojournalИнформатика и образованиеInformatics and education0234-04532658-7769Publishing House Education and Informatics10.32517/0234-0453-2024-39-5-63-77infojournal-1146Research ArticleИНФОРМАТИЗАЦИЯ ОБРАЗОВАНИЯINFORMATIZATION OF EDUCATIONИспользование технологий больших данных и нейросетей в создании адаптивных методических материалов для развития исследовательских навыков педагоговUsing big data and neural network technologies in the creation of adaptive methodological materials for the development of teachers’ research skillshttps://orcid.org/0000-0003-3121-4215АннушкинВ. И.AnnushkinV. I.

Аннушкин Владимир Иванович, доктор филол. наук, профессор, профессор кафедры русской словесности и межкультурной коммуникации, филологический факультет

Vladimir I. Annushkin, Doctor of Sciences (Philology), Professor, Professor at the Department of Russian Literature and Intercultural Communication, Faculty of Philology

annushkin1620@mail.ruhttps://orcid.org/0000-0002-6105-9407ШмелеваА. В.ShmelevaA. V.

Шмелева Анна Вячеславовна, канд. филол. наук, доцент, зав. кафедрой методики преподавания русского языка и литературы, факультет русской филологии

Anna V. Shmeleva, Candidate of Sciences (Philology), Docent, Head of the Department of Methods of Teaching Russian Language and Literature, Faculty of Russian Philology

lug-anna@yandex.ruГосударственный институт русского языка им. А. С. ПушкинаРоссияPushkin State Russian Language InstituteRussian FederationГосударственный университет просвещенияРоссияFederal State University of EducationRussian Federation2024261220243956377Copyright © Аннушкин В.И., Шмелева А.В., 20242024Аннушкин В.И., Шмелева А.В.Annushkin V.I., Shmeleva A.V.This work is licensed under a Creative Commons Attribution 4.0 License.https://info.infojournal.ru/jour/article/view/1146

В повышении эффективности развития профессиональных навыков педагогов и формировании их исследовательских компетенций важную роль играет адаптивное обучение, в том числе адаптивная методическая литература. Представленное в данной статье исследование посвящено применению моделей обработки больших данных и нейросетевых технологий при подготовке адаптивной методической литературы для формирования исследовательских компетенций педагогов в период с 2010 по 2023 годы. На основе анализа научных публикаций, технической документации, опросов педагогов и образовательной аналитики выявлены ключевые принципы, методы и инструменты персонализации образовательного контента. Определены типы данных и источники информации для адаптации материалов под индивидуальные потребности педагогов-исследователей. Разработаны критерии и метрики оценки эффективности адаптивной методической литературы, обоснованы перспективы ее развития на базе технологий больших данных и нейросетей. Выявлены проблемы и ограничения рассматриваемых подходов, даны рекомендации по их преодолению. Теоретическая значимость работы состоит в углублении научных представлений о методологии разработки адаптивного образовательного контента на основе интеллектуального анализа больших данных. Практическая ценность связана с потенциалом оптимизации процессов создания персонализированных методических ресурсов и развития адаптивной системы повышения квалификации педагогических кадров.

Adaptive learning including adaptive methodological literature plays an important role in improving the effectiveness of teachers’ professional skills development and formation of their research competencies. The article is devoted to the application of big data processing models and neural network technologies in the preparation of adaptive methodological literature for the formation of teachers’ research competencies during the period from 2010 to 2023. Based on the analysis of scientific publications, technical documentation, surveys of teachers and educational analytics, the key principles, methods, and tools of personalization of educational content are identified. Types of data and sources of information for customizing materials to meet the individual needs of research teachers are determined. Criteria and metrics for assessing the effectiveness of adaptive methodological literature are developed, and the prospects of its development on the basis of big data and neural network technologies are substantiated. The problems and limitations of the approaches under consideration are revealed, and recommendations for overcoming them are given. Theoretical significance of the article consists in enhancing scientific concepts of the methodology of adaptive educational content development on the basis of intellectual analysis of big data. The practical value lies in the potential for optimizing the processes of creating personalized methodological resources and developing an adaptive system of pedagogical staff professional development.

адаптивная методическая литературабольшие данныенейросетиперсонализация обученияисследовательские компетенциипедагогиadaptive methodological literaturebig dataneural networkspersonalization of learningresearch competenciesteachersИсследование выполнено за счет средств НИОКТР № 124052100046-3 «Фундаментальное обоснование возможностей интеграционных процессов науки, образования и просвещения (на примере новых субъектов Российской Федерации — ДНР, ЛНР, Запорожской и Херсонской областей) как элементов совершенствования методики подготовки учителей-исследователей».The research was carried out with the support of R&D funds No 124052100046-3 “Fundamental justification of the possibilities for integration processes of science, education, and enlightenment (using the example of subjects of the Russian Federation — LPR, DPR, Zaporozhye, and Kherson regions) as elements of improving the methodology for training teacher researchers”.ReferencesГаничева А. Н., Ильина И. В., Ким Т. К., Метелькова Л. 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The authors declare that there are no conflicts of interest present.