Please use this identifier to cite or link to this item:
https://dspace.mnau.edu.ua/jspui/handle/123456789/12049
Title: | Artifical Intelligence in Solving Educational Problems |
Other Titles: | Штучний інтелект у вирішенні освітніх задач |
Authors: | Літвінчук, Світлана Борисівна Litvinchuk, Svetlana Скринник, Олена Skrynnyk, Olena Льонов, Сергій Lyeonov, Serhiy Ленська, Світлана Lenska, Svitlana Галаєва, Людмила Galaieva, Liudmyla Радкевич, Олександр Radkevych, Oleksandr |
Keywords: | educational software artificial intelligence empirical research навчальне програмне забезпечення штучний інтелект емпіричне дослідження |
Issue Date: | 2022 |
Publisher: | Mykolayiv National Agrarian University Modis, Germany Sumy State University Poltava V.G. Korolenko National Pedagogical University National University of Life and Environmental Sciences of Ukraine The Institute of Vocational Education and Training of National Academy of Educational Science of Ukraine |
Citation: | Skrynnyk O., Lyeonov S., Lenska S., Litvinchuk S., Galaieva L., Radkevych O. Artifical Intelligence in Solving Educational Problems // Journal of Information Technology Management. Vol. 14 (Special Issue) P.132-146. DOI: 10/22059/JITM.2022.88893 |
Abstract: | External factors have a huge impact on the need to change the technological course of certain industries. Digitization is not a new milestone in the evolution of education, but its technological and methodical development. Due to the period of restrictions caused by the pandemic, educational institutions at all levels in most countries have been forced to resort to the digitization of the learning process. Intelligent training software provides its users with various opportunities for designing and individualizing the learning process, as well as independence from time and space. |
URI: | https://dspace.mnau.edu.ua/jspui/handle/123456789/12049 |
Appears in Collections: | Публікації науково-педагогічних працівників МНАУ у БД Scopus Статті (Інженерно-енергетичний факультет) |
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File | Description | Size | Format | |
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JITM_Volume 14_132-146.pdf | 748,81 kB | Adobe PDF | View/Open |
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