Artificial Intelligence in Solving Educational Problems
| Autor: | Olena Skrynnyk, Serhiy Lyeonov, Svitlana Lenska, Svitlana Litvinchuk, Liudmyla Galaieva, Oleksandr Radkevych |
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| Jazyk: | perština |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Information Technology Management, Vol 14, Iss Special Issue: Digitalization of Socio-Economic Processes, Pp 132-146 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2008-5893 2423-5059 |
| DOI: | 10.22059/jitm.2022.88893 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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