Gurova Elena Valerievna (candidate of Pedagogical Sciences
Federal State Budgetary Educational Institution of Higher Education «Ufa University of Science and Technology», Department of Pedagogy; Ufa, Russia
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Krushanova Raushaniia Radikovna (candidate of Philosophical Sciences,
Federal State Budgetary Educational Institution of Higher Education «Ufa University of Science and Technology», Department of Pedagogy; Ufa, Russia
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The article highlights the issues of using artificial intelligence in the educational process of higher education. Currently, the higher education system provides human resources for the development of the digital economy and high-tech production, which are based on information technology and AI technologies, which determines the relevance of this problem. The purpose of using artificial intelligence in higher professional education is the qualitative improvement of the information and educational environment, increasing the efficiency of electronic and digital teaching aids, information and communication methods and teaching technologies. It is concluded that artificial intelligence technologies in the educational process of higher education have educational resources in the use of information and communication technologies and electronic and digital tools, allow the transition to a personalized organization of training of future specialists. The use of artificial intelligence technologies is a condition for improving the quality, accessibility of education, meets the modern requirements of society and the state for the level of education of future specialists.
Keywords:information society, digital transformation of higher education, information and communication competencies, electronic and digital teaching aids, artificial intelligence, personalized learning
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Citation link: Gurova E. V., Krushanova R. R. ASPECTS OF USING ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS OF HIGHER EDUCATION // Современная наука: актуальные проблемы теории и практики. Серия: ГУМАНИТАРНЫЕ НАУКИ. -2024. -№11. -С. 98-100 DOI 10.37882/2223-2982.2024.11.14 |
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