Kryvyi Rih University or officially the Kryvyi Rih National University (Ukrainian: Криворізький національний університет), colloquially known in Ukrainian as KNU (Ukrainian: Криворізький національний університет - КНУ) is located in Kryvyi Rih, one of the main industrial cities of Ukraine. Currently, its structure consists of seven faculties (academic departments) and five institutes. It was founded in 1922 as the Kryvyi Rih Evening Working College, and reorganized onto Kryvyi Rih Mining University. During the Soviet Union era, Kryvyi Rih University was one of the top professional universities in the USSR. In 2011 Cabinet of Ukraine founded Kryvyi Rih National University by uniting Technic University, Pedagogical University, Economic Institute of Kyiv National Economic University and Department of the National Metallurgical Academy of Ukraine. It is ranked as one of the best universities in Ukraine in many rankings (see below).
The rapid proliferation of artificial intelligence tools in educational settings has created an urgent demand for AI literacy among secondary educators, yet empirical research examining this phenomenon in non-Western and crisis-affected contexts remains limited. This multi-study investigation employs a sequential explanatory mixed-methods design to examine AI literacy among Ukrainian secondary educators through national survey analysis (n = 2018), targeted educator surveys (n = 116), professional development evaluation (n = 1130), and sys tematic mapping of European Open Science Cloud (EOSC) services. Findings reveal that while 84% of surveyed educators report AI use in professional practice, only 11% can identify specialized services beyond ChatGPT, indicating a pattern of high adoption coupled with limited specialized awareness. The study proposes a five-level AI literacy framework (Awareness, Application, Evaluation, Creation, Ethics) integrated with three paradigms of AI in education (AI-directed, AI-supported, AI-empowered). Professional development intervention demon strates 24% improvement in AI competence, with the largest gains in practical application (+27%) and critical evaluation (+26%). Systematic analysis identifies 22 EOSC AI services applicable to secondary education, par ticularly in biology and geography. Results provide preliminary evidence suggesting that targeted professional development can help advance AI literacy beyond surface-level tool familiarity toward sophisticated pedagogi cal integration. The Ukrainian context, marked by crisis-driven digital transformation, offers insights relevant to educational systems worldwide confronting the imperative to prepare teachers for AI-enhanced instruction.
В статті викладені результати геологічного дослідження деяких ос
Abstract The article analyses the current state of the soil cover in the Kryvyi Rih district of the Dnipropetrovsk region and the main factors contributing to its pollution. It has been established that the mining and metallurgical industries, transport flows and agrochemical factors influence the formation of technogenic load. The types of pollutants (technogenic mineral salts, fragments of products from mining and processing plants and metallurgical and coke-chemical industries, domestic organic and inorganic pollutants) and the spatial patterns of their accumulation are considered. Particular attention is paid to petrological and mineralogical control. Approaches to the integrated assessment of soil pollution levels using concentration coefficients and a total pollution index are proposed.
A newly discovered Middle Miocene fish assemblage from Pidhaitsi, western Ukraine, provides new insights into the palaeobiogeography and ecological diversity of the Fore-Carpathian Basin during the Badenian stage. The assemblage comprises at least eleven taxa (including three identifiable to species level) representing five orders, including lamniform and carcharhiniform sharks, myliobatiform rays, and actinopterygian fishes. The first regional records of Pseudocarcharias kamoharai and a species of Carcharhinus morphologically consistent with either Carcharhinus plumbeus or Carcharhinus obscurus extend the known ranges of these taxa and underscore episodic faunal migrations across the Central Paratethys. The co-occurrence of pelagic predators and benthopelagic rays, together with reef-associated sparids and labrids, is consistent with a marginal marine palaeoenvironment. Accompanying molluscs, such as Ervilia pusilla pusilla, further refine biostratigraphic correlations and palaeoenvironmental reconstructions. The abundance of broken and abraded shark teeth, together with numerous enameloid debris, consistently points to high-energy depositional conditions, such as storm events or strong currents, as well as taphonomic processes that contributed to the mechanical fragmentation of dental material. These findings enrich our understanding of Badenian ecosystems, highlight the role of reef-related environments in promoting biodiversity, and emphasise the necessity of continued investigations in underexplored regions of the Paratethys.
