ooОткрытое образованиеOpen Education1818-42432079-5939Plekhanov Russian University of Economics10.21686/1818-4243-2023-4-4-16oo-973Research ArticleНОВЫЕ ТЕХНОЛОГИИNEW TECHNOLOGIES«Образование 4.0» в эпоху цифровой трансформации: пути повышения ее эффективности“Education 4.0” in the Era of Digital Transformation: Ways to Improve Its EfficiencyAгаевФ. Т.AghayevF. T.

Фирудин Тарлан Агаев – кандидат технических наук, доцент, зав. отделом  

Баку

Firudin Tarlan Aghayev – Cand. Sci. (Technical), Associate Professor, head of department

Baku

agayevinfo@gmail.comMаммадоваГ. А.MammadovaG. A.

Гюлара Абас Маммадова – главный специалист отдела №8

Баку

Gulara A. Mammadova – Chief specialist of department 

Baku

gyula.ikt@gmail.comMеликоваР. Т.MalikovaR. T.

Рена Тофик Меликова – старший научный сотрудник

Баку

Rena T. Malikova  – Senior research fellow of department

Baku

rena22@rambler.ruИнститут Информационных ТехнологийАзербайджанInstitut of Information TechnologyAzerbaijan202330082023274416Copyright © Aгаев Ф.Т., Mаммадова Г.А., Mеликова Р.Т., 20232023Aгаев Ф.Т., Mаммадова Г.А., Mеликова Р.Т.Aghayev F.T., Mammadova G.A., Malikova R.T.This work is licensed under a Creative Commons Attribution 4.0 License.https://openedu.rea.ru/jour/article/view/973

Цель этой статьи — показать эволюцию и требования образовательной системы в эпоху 4-ой промышленной революции, выявить основные проблемы, определить актуальные направления дальнейших исследований.

Четвертая промышленная революция основывает свое развитие на интеллектуальных технологиях, искусственном интеллекте, больших данных, робототехнике и т.д. В новых условиях, перед учебными заведениями стоит задача подготовки успешных выпускников и новых способов обучения. Актуальность проблем, изложенных в настоящей статье, определяется главной целью высшего образования - подготовка квалифицированных человеческих ресурсов для экономики страны, создание и поддержание обширной передовой базы знаний, обеспечение личного развития выпускников учебного заведения. Именно качество высшего образования определяет качество человеческих ресурсов в стране. Для этого студентам необходимо овладеть широким набором компетенций в выбранной ими области обучения,  постоянно расширять границы знаний во всех дисциплинах,  развивать профессиональные навыки в области бизнеса, науки и новых технологиях.

Методология и методы исследования. В процессе исследования был осуществлен анализ  научных публикаций за период 2012–2022 годы (плюс начало 2023 года), размещенных в базах данных:  Springer Link, IEEE Xplore, ACM, Science Direct, Google Scholar, а также  в научной электронной библиотеке eLIBRARY.ru.

В  процессе  исследования были использованы общенаучные методы: аналитический обзор проблемы, методы синтеза, индукции, применены методы сравнительного анализа, обобщения и системного подхода в вопросах использования методов интеллектуального анализа в системах электронного образования, использовались научные публикации последних 20 лет.

Результаты и научная новизна. В нашем исследовании были определены наиболее распространенные задачи, используемые в EDM, а также те, которые являются наиболее перспективными в будущем. Осуществленный в работе теоретический анализ основных ключевых тенденций «Образования 4.0», позволил выявить основные характеристики образования. Было показано, что образование должно стать более индивидуализированным и адаптированным к возможностям обучаемого. В результате проведенного исследования выявлены наиболее характерные задачи Data Mining в образовании, показаны пути его совершенствования и повышения качества. 

Практическая значимость. В настоящее время образовательные учреждения стремятся улучшить свое обучение и преподавание путем анализа данных, собранных во время учебы студентов, разрабатываются новые механизмы на основе данных и совершенствуют интересные модели, которые могут помочь улучшить академические результаты, стимулировать мотивацию учащихся и избежать их отсева.

Полученные результаты можно использовать в качестве информационного материала в дальнейших исследованиях, связанных с изучением развития системы образования в эпоху «Индустрии 4.0». Ожидается, что что полученные результаты могут быть использованы специалистами, руководителями и преподавателями для улучшения образовательной деятельности.

The purpose of this article is to show the evolution and requirements of the educational system in the era of the fourth industrial revolution, to identify the main problems, to identify current areas for further research.

The fourth industrial revolution bases its development on smart technologies, artificial intelligence, big data, robotics, etc. In the new conditions, educational institutions are faced with the task of preparing successful graduates and new ways of learning. The relevance of the problems outlined in this article is determined by the main goal of higher education is to prepare qualified human resources for the country’s economy, create and maintain an extensive advanced knowledge base, and ensure the personal development of graduates of an educational institution. It is the quality of higher education that determines the quality of human resources in a country. To do this, students need to master a wide range of competencies in their chosen field of study, constantly expand the boundaries of knowledge in all disciplines, and develop professional skills in business, science and new technologies.

Methodology and research methods. During the study, an analysis of scientific publications for the period 2012–2022 (plus the beginning of 2023) was carried out, posted in the databases: Springer Link, IEEE Xplore, ACM, Science Direct, Google Scholar, as well as in the scientific electronic library eLIBRARY.ru.

In the course of the study, general scientific methods were used: an analytical review of the problem, methods of synthesis, induction, methods of comparative analysis, generalization and a systematic approach were applied to the use of intellectual analysis methods in e-education systems, scientific publications of the last 20 years were used.

Results and scientific novelty. Our research has identified the most common tasks used in EDM, as well as those that are the most promising in the future. The theoretical analysis of the main key trends of “Education 4.0” carried out in the paper made it possible to identify the main characteristics of education. It was shown that education should become more individualized and adapted to the abilities of the learner. As a result of the study, the most characteristic tasks of Data Mining in education were identified, ways of its improvement and quality improvement were shown.

Practical significance. Currently, educational institutions are striving to improve their learning and teaching by analyzing data collected during students’ studies, developing new databased system in the era of “Industry 4.0”. It is expected that the results mechanisms and improving interesting models that can help obtained can be used by specialists, managers and teachers to improve improve academic outcomes, stimulate student motivation and educational activities. avoid dropouts.

The results obtained can be used as information material in further research related to the study of the development of the educationsystem in the era of “Industry 4.0”. It is expected that the resultsobtained can be used by specialists, managers and teachers to improve educational activities.

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