| dc.rights.license | Visos teisės saugomos / All rights reserved | en_US |
| dc.contributor.author | Ovtšarenko, Olga | |
| dc.contributor.author | Safiulina, Elena | |
| dc.date.accessioned | 2026-01-07T08:19:26Z | |
| dc.date.available | 2026-01-07T08:19:26Z | |
| dc.date.issued | 2025 | |
| dc.identifier.isbn | 9798331598747 | en_US |
| dc.identifier.issn | 2831-5634 | en_US |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/159678 | |
| dc.description.abstract | Integrating sustainability into engineering education is essential for equipping future professionals with the skills to build a resource-efficient world. This paper explores an interdisciplinary approach at TTK University of Applied Sciences, Tallinn, Estonia, to embed sustainability into core engineering courses. The study applies AI algorithms to evaluate pedagogical strategies that foster responsibility, ethical decision-making, and innovation, which is a novel method in contrast to traditional ones. By integrating AI-based analysis with sustainability-focused engineering curricula, the research presents a data-driven, interdisciplinary model that enhances ethical decision-making and ecological responsibility. Results emphasize the value of a learner-centred approach—optimization, personalization, interactivity, and adaptability—to prepare professionals with the ecological mindset needed for modern engineering challenges. | en_US |
| dc.format.extent | 6 p. | en_US |
| dc.format.medium | Tekstas / Text | en_US |
| dc.language.iso | en | en_US |
| dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/159405 | en_US |
| dc.source.uri | https://ieeexplore.ieee.org/document/11016854 | en_US |
| dc.subject | sustainable development | en_US |
| dc.subject | engineering education | en_US |
| dc.subject | interdisciplinarity | en_US |
| dc.subject | e-learning | en_US |
| dc.subject | optimization | en_US |
| dc.title | Improving Engineering Education for a Sustainable Future | en_US |
| dc.type | Konferencijos publikacija / Conference paper | en_US |
| dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
| dcterms.issued | 2025-06-02 | |
| dcterms.references | 19 | en_US |
| dc.description.version | Taip / Yes | en_US |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
| dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
| dc.contributor.institution | TTK University of Applied Sciences | en_US |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | en_US |
| dc.contributor.department | Informacinių technologijų katedra / Department of Information Technologies | en_US |
| dcterms.sourcetitle | 2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania | en_US |
| dc.identifier.eisbn | 9798331598730 | en_US |
| dc.identifier.eissn | 2690-8506 | en_US |
| dc.publisher.name | IEEE | en_US |
| dc.publisher.country | United States of America | en_US |
| dc.publisher.city | New York | en_US |
| dc.identifier.doi | https://doi.org/10.1109/eStream66938.2025.11016854 | en_US |