- Ростока, Марина Львівна (orcid.org/0000-0002-1891-5482) (2026) Data-Driven Convergence of Value-Oriented Digital Educational Collections In: Інформаційні технології в культурі, мистецтві, освіті, науці, економіці та бізнесі: матеріали XІ Міжнародної науково-практичної конференції, 14-15 травня 2026 р., м. Київ, Україна.
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Abstract
The author notes that the data-driven convergence of value-oriented digital educational collections (DECs) is a timely and important direction for the development of a unified information space for open education and science. It is emphasized that this convergence facilitates the transition from the fragmented use of digital educational resources, particularly web collections, and enables the creation of integrated educational ecosystems focused on value-oriented analytical data. It is emphasized that the quality of implementing this methodology—the data-driven convergence approach—is determined by indicators of the level of development of information and analytical tools, the introduction of interoperability standards, and the corresponding ability of educational systems to account for the axiological aspects of content. It is concluded that for future research, it makes sense to forecast the depth of the impact of artificial intelligence, semantic technologies, and methods for diagnosing the value component of DEWC.
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