- Lugovyi, V.I. (orcid.org/0000-0003-1650-066X), Talanova, Zh.V. (orcid.org/0000-0003-4007-2677), Slyusarenko, O.M. (orcid.org/0000-0001-7957-1794) and Vorobyova, Oksana (orcid.org/0000-0002-7064-4341) (2025) Digital transition in higher education: European experience for Ukraine Information Technologies and Learning Tools, 6 (110). pp. 240-253. ISSN 2076-8184
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Abstract
The digitalization transition capacity for Ukraine’s higher education system based on European experience is explored in the article. The study addresses the critical challenge of assuring quality and academic integrity in the context of digital transition under martial law and post-war recovery. Digitalization is conceptualized not only as a tool for enhancing higher education quality but also as a new, measurable standard that provides openness, transparency, accessibility, efficiency, and accountability across all stages of educational activity. The research novelty lies in the identification and systematic analysis of specific regulatory and infrastructural barriers to the integration of European digital quality assurance practices into the Ukrainian context. Emphasis is placed on the synergistic relationship between digitalization and quality assurance mechanisms in higher education, which contributes to strengthening the international competitiveness of Ukrainian universities. Using a comparative analytical methodology and a systematic review of national policy documents, the article presents comprehensive findings and practical recommendations for the effective realization of digitalization’s potential in Ukraine. At the national level, the need of development of a coherent strategy and a robust legislative framework with regard to data protection, rules for using digital tools in higher education, accreditation requirements for digital study programmes, digital ecosystem building in higher education is emphasized. At the institutional level, the focus is on developing and deploying digital platforms for monitoring quality, ensuring academic integrity, tracking student performance, and implementing adaptive teaching and learning practices. The integration of European technologies and practices, Artificial Intelligence for personalized learning is identified as a priority. The study’s practical implications are significant for national quality assurance agency and university leadership, providing a framework for assessing digital readiness and prioritizing investments to meet European standards of quality, transparency, and integrity.
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