The Use of Computer Training Systems in Distance Learning

Information and communication technologies in the context of the Industrial Revolution 4.0 are used in all industries. In the context of COVID-19 pandemic and the shift to distance learning, computer hardware and software systems are an effective tool for the successful implementation of the training process in the universities. Virtual laboratories, simulators, test computer systems are the components of the virtual educational environment of the universities. Today these tools contain a specific multimedia element - a virtual robot assistant. Student's interaction with a virtual assistant should be comfortable and provide the successful educational process. The authors examined several aspects of effective student's interaction with the multimedia components of the interface of the computerized learning environment. The results of the conducted experiment can be used by developers of computer virtual laboratories, simulators, experimental research stands, test computer systems, a component of which is a virtual robot assistant, to optimize the processes of educational activities distance learning included. © 2022 IEEE.

Digitalization and Industry 4.0-Changes Caused by COVID-19

Today the world community functions under the conditions of the Fourth Industrial Revolution implementation, one of the main factors of which is global digitalization. The rapidly increasing role of digitalization creates new conditions for the functioning and formation of socio-economic all over the world. The main attention in the implementation of the above processes is focused on the fullest satisfaction of the constantly growing needs of citizens in receiving various types of information and information services. This is the goal of business, as well as national and municipal authorities in most countries. However, in the past two years, a number of trends have emerged in the formation of the global information space and the evolution of the information services market. These trends are due to the COVID-2019 pandemic. In the article, the authors investigate such formed trends in Russia and the world, based on the analysis of available statistical data. Conclusions are made regarding the possible scenarios for the further course of events. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.