Artificial Intelligence in Solving Educational Problems

External factorsexert an enormous influence on the exigencies of changing the technological course of individualsectors. Digitalizationrepresents not a new milestone in the evolution of education, but its technological and methodological development. Due to a period of constraints, caused by COVID-19 pandemic, educational institutions at all levels in most countries have been forced to resort to digitalization of the learning process. Intelligent learning software provide their users with a variety of options to design and individualize the learning process, as well as independence from time and space. Teachers benefit from flexible content generation and just-in-time assessment of learners' progress, evaluation of large task sets, knowledge sharing with other teachers and knowledge institutions. Learners benefit from anytime availability of learning tools and just-in-time feedback. In our investigation, we consider the current state-of-the-art of educational software. Considering the results of quantitative empirical study and analysis of educational issues solvable by artificial intelligence, we present a developed and tested framework for selected educational problem. Copyright © 2022, Olena Skrynnyk, Serhiy Lyeonov, Svitlana Lenska, Svitlana Litvinchuk, Liudmyla Galaieva and Oleksandr Radkevych.

Structural digital transformation of insurance management development model in the regions of the world under the financial crisis

Today's global financial crisis and the negative impact of the COVID-19 pandemic generate an urgent need for a thorough study of scientific and pragmatic principles, methods, and tools for managing and regulating insurance activities. The article aims to develop theoretical principles, methodological approaches, and practical aspects of the world experience in insurance management models. The main research methods consist of general scientific methods, statistical analysis, comparison, generalization, system approach. The main results of the work include the following: Improvement of the content of the notions "insurance management" and "the management system of an insurance company. © The Author(s), 2021.