The steady rise of artificial intelligence (AI) across multiple domains, particularly education, marks a transformative period for the field. Understanding the essential role of teachers and students as active participants in this transformation, as well as the factors influencing their perceptions and attitudes toward AI, is critical. In Ukraine, the emergence and rapid spread of accessible AI tools occurred during a time of full-scale military conflict, bringing about drastic disruptions to traditional educational processes. This study provides insights into these impacts by analyzing the results of a nationwide survey conducted in 2023 on AI's role in education, gathering perspectives from two main groups: educators (N = 1734) and students in grades 8–11 (N = 1448). The data reveal distinct differences in teachers' and students' attitudes towards integrating AI into education. While many teachers recognize AI's potential to aid in tasks like test creation, creative task development, and student progress tracking, they also express concerns about ethical implications and the risk of academic dishonesty. In contrast, a substantial portion of students’ view AI as a valuable tool for enhancing learning and promoting self-directed education. Additionally, the study identifies an inverse relationship between the duration of a teacher's professional experience and their frequency of AI use, suggesting that younger educators may be more inclined to adopt these technologies. Among students, however, a positive correlation exists between their year of study and the frequency of AI tool utilization, indicating a gradual increase in AI engagement with advancing grade levels. Based on the results, it can be concluded that AI is currently an additional option for educational activities that will become a necessity in the near future. Therefore, retraining and upskilling teachers and providing them with appropriate quality tools is an essential and urgent task.

The general aim of this research is to analyze spatial-temporal changes of air quality, which are the consequences of the military invasion of the Russian on the territory of Ukraine based on open remote sensing data, geoinformation and cloud technologies. The density of NO₂, SO₂, CO and HCHO as well as the density of O₃ and the absorbing aerosol index (AAI) extracted from the Sentinel-5P satellite using Google Earth Engine (GEE) showed reduced emission of primary air pollutants and a high level of atmospheric restoration compared to 2021, the year before the war. At the same time values of the AAI increased significantly, indicating the presence of smoke and dust in the air. Obtained results showed one more aspect of the drastic effect of the war on the economic and social processes and environmental conditions. The consequences of this ecological effect can have a long-term negative impact on the health of populations.

The design and installation of solar panels on the roofs of urban buildings often require consideration of the specific spatial conditions that affect their efficiency. The primary purpose of this work is to develop a procedure for designing and optimizing photovoltaic installations using geomatics methods and specific tools of GIS and CAD systems. The roof of the historic building A2, which is a part of the Poznań University of Technology campus, was selected as the tested object. Solar radiation modelling and determination of suitability zones were performed using SEBE (Solar Energy on Building Envelopes) in QGIS. Possible options for the placement of photovoltaic modules on the roof were simulated with CAD technique in the web-based HelioScope software. The results of the simulation show that the current roof area can generate electrical power of 99.9 MWh/year. The proposed methodology is universal for photovoltaic installations on built-up roofs and can be applied to other buildings and, consequently, the results obtained can be used to improve the content of the solar data urban geoportal.

The purpose of the article is to carry out a complex analysis of conditions and natural factors forming the hydrogeological regime as well as to integrate the existing information and groundwater monitoring data in Ivano-Frankivsk region for further creating of the unified automated system to...

Google Earth Engine (GEE) is a cloud-based geoinformation platform that enables the processing of satellite data, offering substantial computing capabilities. This publication addresses the potential applications of the Google Earth Engine platform in the field of education, as well as the prerequisites and conditions for the organisation of the course for educators. The stages involved in organising the course, along with the topics and tools that formed the basis for the lectures and practical classes, are described in detail. The efficacy of the developed course is evaluated based on the responses of the participants obtained through questionnaires and a final interview. It is important to note that the application of cloud platforms for the processing of large volumes of geodata represents a current global trend, particularly within the field of education. Consequently, the development and implementation of the course for educators that is aligned with this trend constitutes a significant contribution to the advancement of innovative educational practices in Ukraine.