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			<journal-title xml:lang="ru">Управление образованием: теория и практика</journal-title><trans-title-group xml:lang="en"><trans-title>Education Management Review</trans-title></trans-title-group>
</journal-title-group>			<issn pub-type="epub">2311-2174</issn>			<publisher><publisher-name>Индивидуальный предприниматель Подколзин М.М.</publisher-name></publisher>
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			<article-id pub-id-type="publisher-id">1404</article-id>
			<article-id pub-id-type="doi">10.25726/f3942-2092-6900-m</article-id>
			<article-categories><subj-group subj-group-type="heading" xml:lang="en"><subject>DATA SCIENCE IN THE MANAGEMENT OF EDUCATIONAL SPACE</subject></subj-group><subj-group subj-group-type="heading" xml:lang="ru"><subject>DATA SCIENCE В УПРАВЛЕНИИ ОБРАЗОВАТЕЛЬНЫМ ПРОСТРАНСТВОМ</subject></subj-group></article-categories>
			<title-group><article-title xml:lang="ru">Искусственный интеллект и его роль в построении индивидуальной траектории развития обучающихся в вузах</article-title><trans-title-group xml:lang="en"><trans-title>Artificial intelligence and its role in building an individual development trajectory for university students</trans-title></trans-title-group></title-group>
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						<name name-style="western" specific-use="primary" xml:lang="ru">
							<surname>Кузьмин</surname>
							<given-names>Николай Николаевич</given-names>
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						<name name-style="western" xml:lang="en">
							<surname>Kuzmin</surname>
							<given-names>Nikolai N.</given-names>
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					<email>knn2000@mail.ru</email>
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						<name name-style="western" specific-use="primary" xml:lang="ru">
							<surname>Глазунова</surname>
							<given-names>Ирина Николаевна</given-names>
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							<surname>Glazunova</surname>
							<given-names>Irina N.</given-names>
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					<email>iringlazunova@mail.ru</email>
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						<name name-style="western" specific-use="primary" xml:lang="ru">
							<surname>Чистякова</surname>
							<given-names>Наталья Александровна</given-names>
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						<name name-style="western" xml:lang="en">
							<surname>Chistyakova</surname>
							<given-names>Natalya A.</given-names>
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					<email>ben-london@yandex.ru</email>
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						<name name-style="western" specific-use="primary" xml:lang="ru">
							<surname>Байтимерова</surname>
							<given-names>Лейля Саитовна</given-names>
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						<name name-style="western" xml:lang="en">
							<surname>Baytimerova</surname>
							<given-names>Leila S.</given-names>
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					<email>baitemerova@synergy.ru</email>
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				<aff xml:lang="ru"><institution content-type="orgname">Липецкий государственный педагогический университет имени П. П. Семёнова-Тян-Шанского</institution></aff>
				<aff xml:lang="en"><institution content-type="orgname">Lipetsk State Pedagogical University named after P. P. Semenov-Tyan-Shansky</institution></aff>
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				<aff xml:lang="ru"><institution content-type="orgname">Московский финансово-промышленный университет Синергия</institution></aff>
				<aff xml:lang="en"><institution content-type="orgname">Moscow Financial and Industrial University Synergy</institution></aff>
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			<pub-date date-type="collection"><year>2024</year></pub-date><pub-date date-type="pub" publication-format="epub"><day>15</day><month>03</month><year>2024</year></pub-date>
			<volume seq="2">14</volume>
			<issue>3-1</issue>
			<issue-id>78</issue-id><issue-title xml:lang="ru">Управление образованием: теория и практика</issue-title><issue-title xml:lang="en">Education Management Review</issue-title><permissions>
				<copyright-statement xml:lang="ru">© 2024 Управление образованием: теория и практика</copyright-statement>
				<copyright-statement xml:lang="en">© 2024 Education Management Review</copyright-statement>
				<copyright-year>2024</copyright-year>
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			<abstract xml:lang="ru"><p>В статье рассматривается роль искусственного интеллекта (ИИ) в формировании индивидуальной траектории развития обучающихся в высших учебных заведениях. Актуальность данного исследования обусловлена возрастающей потребностью в персонализации образовательного процесса с учетом индивидуальных особенностей и потенциала каждого студента. Цель работы заключается в анализе возможностей применения технологий ИИ для построения оптимальной траектории обучения и развития студентов вузов. Методология исследования базируется на комплексном подходе, включающем теоретический анализ научной литературы, обобщение практического опыта использования ИИ в образовании, а также эмпирические методы, такие как анкетирование и интервьюирование студентов и преподавателей. Выборка исследования составила 450 респондентов из 5 ведущих университетов страны. Результаты проведенного исследования свидетельствуют о значительном потенциале применения ИИ для персонализации образовательных траекторий. Так, 78% опрошенных студентов отметили, что внедрение ИИ-систем позволило бы им более эффективно планировать свое обучение и развитие с учетом индивидуальных потребностей и целей. Преподаватели (82%) также подтвердили, что использование ИИ-технологий способствует оптимизации учебного процесса и повышению качества образования. Практическая значимость исследования заключается в разработке рекомендаций по внедрению ИИ-систем в образовательный процесс вузов для построения индивидуальных траекторий развития обучающихся. Предложенные меры могут быть использованы администрацией университетов, преподавателями и специалистами в области образовательных технологий для совершенствования процесса обучения и повышения его эффективности.</p></abstract><trans-abstract xml:lang="en"><p>The article examines the role of artificial intelligence (AI) in shaping the individual development trajectory of students in higher education institutions. The relevance of this study is due to the growing need to personalize the educational process, taking into account the individual characteristics and potential of each student. The purpose of the work is to analyze the possibilities of using AI technologies to build an optimal trajectory of learning and development for university students. The research methodology is based on an integrated approach, including theoretical analysis of scientific literature, generalization of practical experience in using AI in education, as well as empirical methods such as surveys and interviews of students and teachers. The study sample consisted of 450 respondents from 5 leading universities in the country. The results of the study indicate the significant potential of using AI to personalize educational trajectories. Thus, 78% of surveyed students noted that the introduction of AI systems would allow them to more effectively plan their learning and development, taking into account individual needs and goals. Teachers (82%) also confirmed that the use of AI technologies helps optimize the educational process and improve the quality of education. The practical significance of the study lies in the development of recommendations for the implementation of AI systems in the educational process of universities to build individual development trajectories for students. The proposed measures can be used by university administrations, teachers and specialists in the field of educational technologies to improve the learning process and increase its effectiveness.</p></trans-abstract><kwd-group xml:lang="ru"><title>Ключевые слова</title><kwd>искусственный интеллект</kwd><kwd>индивидуальная траектория развития</kwd><kwd>персонализация образования</kwd><kwd>высшее образование</kwd><kwd>образовательные технологии</kwd></kwd-group><kwd-group xml:lang="en"><title>Keywords</title><kwd>artificial intelligence</kwd><kwd>individual development trajectory</kwd><kwd>personalization of education</kwd><kwd>higher education</kwd><kwd>educational technologies</kwd></kwd-group><funding-group>
				<funding-statement xml:lang="ru">Исследование выполнено без внешнего финансирования.</funding-statement>
				<funding-statement xml:lang="en">The study was conducted without external funding.</funding-statement>
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