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Engineering education management in the era of artificial intelligence

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dc.contributor.author TÎRȘU, Valentina
dc.contributor.author SAVA, Lilia
dc.contributor.author NISTIRIUK, Pavel
dc.contributor.author MIROVSKI, Vladimir
dc.date.accessioned 2026-02-15T14:57:30Z
dc.date.available 2026-02-15T14:57:30Z
dc.date.issued 2025
dc.identifier.citation TÎRȘU, Valentina; Lilia SAVA; Pavel NISTIRIUK and Vladimir MIROVSKI. Engineering education management in the era of artificial intelligence. In: IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2025, Chisinau, Republic of Moldova, 23-26 June, 2025. Technical University of Moldova. Institute of Electrical and Electronics Engineers, 2025, pp. 1-4. ISBN 979-8-3315-3720-3, eISBN 979-8-3315-3719-7, ISSN 2375-8236, eISSN 2687-9808. en_US
dc.identifier.isbn 979-8-3315-3720-
dc.identifier.isbn 979-8-3315-3719-7
dc.identifier.issn 2375-8236
dc.identifier.issn eISSN 2687-9808
dc.identifier.uri https://doi.org/10.1109/BlackSeaCom65655.2025.11193900
dc.identifier.uri https://repository.utm.md/handle/5014/35219
dc.description Acces full text: https://doi.org/10.1109/BlackSeaCom65655.2025.11193900 en_US
dc.description.abstract This article analyzes the impact of artificial intelligence (AI) on engineering education management and identifies the necessary strategies for the sustainable integration of this technology into the educational process. In a context where digitalization is redefining teaching and learning methods, the study highlights the developmental directions of educational management, emphasizes the importance of balancing technology with human interaction, and outlines the role of educational leadership in the effective implementation of AI.The research objectives include identifying ways in which AI can optimize administrative processes and enhance students' learning experiences, analyzing the necessity of balancing technology with the teacher-student relationship, and evaluating the role of educational leadership in implementing sustainable strategies. The study results indicate that while AI can bring significant improvements to engineering education, the success of this transition depends on adopting a hybrid model that combines technological innovation with human mentorship and effective educational leadership. The article provides a strategic perspective on integrating AI into engineering education, highlighting best practices and viable solutions for the future. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject artificial intelligence en_US
dc.subject digitalization en_US
dc.subject educational leadership en_US
dc.subject hybrid model en_US
dc.subject technological innovation en_US
dc.title Engineering education management in the era of artificial intelligence en_US
dc.type Article en_US


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