Firudin Aghayev’s research while affiliated with Institute of Information Technology and other places

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.

Many experts and scientists focus on cloud computing, mobile Internet technologies, and the rapid development of the Internet of Things in the field of e-learning which caused innovation and revolution. The development of the capabilities of cloud technologies has been applied to solve problems in various fields of human activity, including the educational process. Cloud technologies enable students to actively participate in the preparation of educational content, modify learning methods, increase access to information resources (external memory, applications, educational materials, etc.). Clouds unify physical or virtualized resources in data centers and require less software and hardware. The goal of this research is to expand and use the possibilities of applying cloud technologies in the teaching process in higher education institutions. As a result of the conducted research, we determine didactic and information opportunities by using cloud services in the educational process. This article reviews scientific research conducted in the field of data mining and cloud technologies in the formation of educational content during the last decade. Moreover, the methods of solving educational content management problems are proposed using data mining methods.

The popularity of e-education has been growing in recent years. Because of it, the problem of ensuring its security arises, which must be carried out using security methods and internationally recognized standards. This article identifies various problems of personal data security in e-education and proposes solutions to ensure the protection of educational information.

The fourth industrial revolution (Industry 4.0) has brought about changes in various aspects of human life. One of them is the education system. The article explores the impact of Industry 4.0 on the field of education. In this regard, the main characteristics of Industry 4.0, driven by artificial intelligence and digital physical structures are explored using distributed computing, big data, portable devices, the Internet of Things (IoT), virtual reality (VR), augmented reality (AR), etc. Moreover, the article analyzes the main technologies of Education 4.0, which play an important role in supporting Industry 4.0 and have a significant impact on the change in IT education. The article shows the main engineering competencies of Industry 4.0 specialists to be knowledge, skills and abilities necessary to successfully complete production tasks. Future engineers need to improve their professional, social, methodological and personal competencies. They need an interdisciplinary understanding of systems, manufacturing processes, automation technology and information technology. The article uses methods of comparative analysis, generalization and systematic approach to the peculiarities of using Industry 4.0 technologies in the field of e-education. The results obtained are expected to be used by specialists, managers and teachers to improve the educational performance of IT specialists in higher education institutions.