“Education 4.0” in the Era of Digital Transformation: Ways to Improve Its Efficiency

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 education
system in the era of “Industry 4.0”. It is expected that the results
obtained can be used by specialists, managers and teachers to improve educational activities.

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