Публікація:
Changing Trends in Teaching Computer Vision at Ukrainian Universities in the Age of Artificial Intelligence

dc.contributor.authorYesilevskyi, V.
dc.contributor.authorKyt, M.
dc.date.accessioned2024-06-19T16:25:26Z
dc.date.available2024-06-19T16:25:26Z
dc.date.issued2024
dc.description.abstractIn recent years, professional education in computer vision and artifcial intelligence (AI) has witnessed transformative changes, a process signifcantly accelerated by the COVID-19 pandemic, which catalyzed the shift towards online learning formats. In Ukraine, as in many other countries, universities have rapidly adapted their curricula to align with these new realities. The onset of martial law in Ukraine further entrenched online learning as the dominant mode of education. Additionally, there has been a noticeable shift in research activities towards projects tailored to the defense sector, unfolding against the backdrop of signifcant global advancements in AI for computer vision. This article explores the impact of these shifts and the “Artifcial Intelligence Development Concept” introduced by the Ministry of Digital Transformation of Ukraine on the quality and methodologies of computer vision education. It scrutinizes specifc training courses in this domain, along with the literature used in the educational process. The exploration includes how deep neural network technologies such as TensorFlow, PyTorch, OpenCV, and Python libraries are being integrated into computer vision curricula, reflecting the latest advancements in the feld. It also examines the needs of Ukrainian startups and companies specializing in computer vision projects, analyzing how curricula are evolving to meet the specifc requirements of modern software developers. Furthermore, the article proposes directions for the further development of online education in computer vision teaching in Ukraine.
dc.identifier.citationYesilevskyi V. Changing Trends in Teaching Computer Vision at Ukrainian Universities in the Age of Artificial Intelligence / V. Yesilevskyi, M. Kyt // International Journal of Emerging Technologies in Learning (iJET), 2024. – iJET Vol. 19 No. 04 (2024). – p. 86-96.
dc.identifier.urihttps://openarchive.nure.ua/handle/document/27092
dc.language.isoen
dc.publisherInternational Journal of Emerging Technologies in Learning
dc.subjectcomputer vision
dc.subjectonline education
dc.subjectdeep learning (DL)
dc.subjectteaching methodologies
dc.subjectartifcial intelligence (AI)
dc.titleChanging Trends in Teaching Computer Vision at Ukrainian Universities in the Age of Artificial Intelligence
dc.typeArticle
dspace.entity.typePublication

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