Title of article
Artificial Intelligence in Solving Educational Problems
Author/Authors
Skrynnyk, Olena Germany - Sumy State University, Sumy, Ukraine , Lyeonov, Serhiy Department of Economic Cybernetics - Sumy State University, Sumy, Ukraine , Lenska, Svitlana Department of Ukrainian Literature - Poltava V.G. Korolenko National Pedagogical University, Poltava, Ukraine , Litvinchuk, Svitlana Department of methodology of professional training - Mykolayiv National Agrarian University, Mykolaiv, Ukraine , Galaieva, Liudmyla Department of Economic Cybernetics - National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine , Radkevych, Oleksandr Research and Organizational - Department of the Institute of Vocational Education and Training of National Academy of Educational Science of Ukraine
Pages
15
From page
132
To page
146
Abstract
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.
Keywords
Educational Software , Artificial Intelligence , Empirical Study
Journal title
Journal of Information Technology Management (JITM)
Serial Year
2022
Record number
2733230
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