Detection of Existing Practices and Forecasting of Future Research in the Field of Cloud Technologies in Education

This research touches upon the use of cloud technologies in education based on the keywords of scientific publications. The study aims to detect existing practices and predict future research in the field of Cloud technologies in education. The research method is bibliographic analysis. The basis of the study was the scientometric database SCOPUS. The sample is limited to scientific articles (monographs, conference materials, scientific reports, reviews, and others were rejected). The computer app VOSviewer was applied to simplify data analysis. Visualization and quantitative analysis were applied to characterize the existing practices. The results of the analysis showed a significant increase in the popularity of cloud technologies in education and the popularity of research in machine learning and artificial intelligence. A high-quality discussion gave reason to predict the mandatory use of AI in teacher training, changes in approaches and teaching methods, the emergence of fundamentally new courses related to big data processing, the Internet of Things, and the virtualization of learning.