Kryvyi Rih State Pedagogical University

The authors of this article examine the role of visual communication in shaping motivation and behavioural practices aimed at implementing the principles of sustainable development within educational environments. The objective of the study is to provide a theoretical substantiation of the functional and resource-based correlations between visual communication and sustainability, to analyse international experience in implementing visual educational projects, and to develop a pilot Ukrainian project that considers local challenges. The research consistently employs methods such as thematic-relevant literature selection, systematic, comparative, and critical analysis, as well as case studies and a modelling approach. The empirical section is based on the implementation of the pilot educational project VCE&S at the Department of Graphic Design at a university in Kyiv, followed by monitoring of the outcomes through observation, digital analysis of behavioural changes and participant engagement (participants’ activity on social media for real-time visual and textual communication on sustainable development issues). It was found that visual communication exerts not only cognitive but also direct behavioural influence, fostering sustainable ecological habits and civic social responsibility. The results confirm the feasibility of scaling the project and underscore the need for further research into visual strategies within educational systems of various types and regions. The article has international significance as an example of the practical application of visual-communicative approaches to education for sustainable development in the context of social turbulence and military-political instability.

The article discusses the issue of preparing future physics and astronomy teachers to use artificial intelligence (AI) as an innovative tool for developing the natural science and mathematics competencies of senior school students. The relevance of the study is determined by the active digitalization of education and the need to develop new professional skills in teachers related to the use of AI technologies. It is emphasized that the integration of artificial intelligence into the educational process should go beyond its use solely as a means of searching for information. An important aspect of professional training is to develop future teachers' ability to utilize AI to create educational content, design learning tasks, model physical phenomena, organize research activities, and implement interdisciplinary STEM projects. The article examines the potential and effectiveness of utilizing AI tools in the study of methodological disciplines. It develops recommendations for their implementation in the teaching of physics and astronomy. It concludes that the systematic integration of artificial intelligence technologies into the training of future natural science and mathematics teachers is advisable as a condition for improving the quality of professional education and fostering innovative thinking among students.

Edge computing environments face unprecedented challenges in deploying large language models due to severe resource constraints, latency requirements, and privacy concerns that traditional cloud-based solutions cannot address. Current approaches struggle with the fundamental mismatch between LLMs' computational demands - requiring gigabytes of memory and billions of operations - and edge devices' limited capabilities, resulting in either degraded performance or infeasible deployments. This survey presents a systematic analysis of emerging techniques that enable efficient LLM deployment at the edge through four complementary strategies: model compression via quantisation and pruning that reduces memory footprint by up to 75% while maintaining accuracy, knowledge distillation frameworks achieving 4000× parameter reduction with comparable performance, edge-cloud collaborative architectures like EdgeShard delivering 50% latency reduction through intelligent workload distribution, and hardware-specific optimisations leveraging specialised accelerators. Extensive evaluation across multiple real-world testbeds demonstrates that hybrid edge-microservices architectures achieve 46% lower P99 latency and 67% higher throughput compared to monolithic approaches, while supporting 10,000 concurrent users with 100 ms latency constraints and reducing bandwidth consumption by 99.5% through selective cloud offloading. These advancements enable transformative applications in healthcare monitoring, autonomous systems, real-time IoT analytics, and personalised AI services, fundamentally reshaping how intelligence is delivered at the network edge while preserving privacy and ensuring responsiveness critical for next-generation computing paradigms.

Aim. The study focuses on the impact of interactions between educators and parents on the development of patriotic values and feelings in older preschool children (5–6 years old) as a crucial component of personality development. To demonstrate the effectiveness of moral and patriotic education in preschoolers under modern educational conditions. Methods. The research employed diagnostic interviews, experimental situations, and behavioural task analysis to evaluate the cognitive, emotional, and behavioural components of patriotic qualities. Results. The proposed pedagogical methods proved effective: the proportion of children with a high level of patriotic qualities in the experimental group significantly increased compared to the control group. The effectiveness of the methods was statistically confirmed: the Student's t-test indicated significant differences between the experimental and control groups. Specifically, the average level of patriotic qualities in the experimental group increased by 35%, while the low level decreased to a minimum (5%). Conclusion. These results confirm the productivity of the proposed methodology, which integrates traditional and innovative approaches to education. Originality. The study reveals the integration of traditional and modern educational methods through the use of surveys, observations, and group work with children. The improvement of educational programmes for preschools and the development of a practical programme for working with older preschoolers aimed at fostering moral and patriotic qualities. Cognitive value. The study has cognitive value, as it reveals the peculiarities of integrating traditional and modern methods of education in working with preschool children. The use of questionnaires, observation, and group forms of work made it possible to outline effective approaches to the formation of moral and patriotic qualities in older preschoolers. Along with this, the study has certain limitations related to the sample (limited in terms of territory or quantity), as well as the specificity of the applied methods, which require further scientific research and approval of the developed program in a broader educational context.

Abstract The rapid growth of the video game industry has generated demand for skilled game developers and increased interest in game development education. While many universities now offer game development courses, there is a lack of research on teaching these skills at the secondary school level. This paper presents a case study of designing and implementing a game development course for secondary school students (grades 10-12) in Ukraine. The course was offered as an elective within the informatics curriculum, with the goal of introducing students to basic game development concepts and tools. Course content focused on developing 2D games using the Unity engine, covering topics such as game objects, scripting, physics, user interface, and animation. Evaluation based on student projects, surveys, and teacher observations indicated high levels of engagement and skill development. Challenges included managing the project scope and providing adequate technical support. Recommendations for course improvement and wider adoption are discussed. The study demonstrates the feasibility and value of teaching game development at the secondary level to prepare students for further education and careers in this growing field.

Abstract The article explores the impact of the Russo-Ukrainian war on sustainable consumption and production systems, with a focus on adaptive strategies of industrial enterprises and consumer behaviour. The study analyses how wartime conditions have caused significant changes in resource management, supply chain reconfiguration, and industrial efficiency. The research highlights a shift in consumption patterns towards essential goods, a reduction in energy consumption, and a prioritization of resource conservation. The war has led to increased industrial relocation, transformation of production processes, and a reassessment of sustainable development principles, including the traditional 3R model of ‘Reuse-Reduce-Recycle,’ supplemented by ‘Rethink.’ The findings of the study contribute to a better understanding of sustainable production and consumption strategies in crisis conditions, emphasizing innovative solutions for maintaining industrial operations and achieving sustainable development goals in extreme environments.

This paper presents the foundational concepts of computer modelling as both a cognitive method and educational approach, drawing from the pedagogical principles developed over decades of teaching practice. We examine the theoretical underpinnings of modelling as a scientific method, beginning with a conceptual framework for understanding models as simplified representations of reality that maintain essential characteristics of original phenomena. The paper provides a systematic classification of models (material vs. ideal, physical vs. analogue, intuitive vs. information-based) with illustrative examples demonstrating their application across disciplines. We establish mathematical modelling as the bridge to computer modelling and argue for its introduction in educational contexts through accessible tools like spreadsheets. The pedagogical approach advocated progresses from intuitive examples to structured model development, emphasising the iterative cycle of model creation, verification, experimentation, and refinement. This framework supports the development of interdisciplinary thinking and modern scientific literacy, positioning computer modelling as a key component in contemporary education. The principles presented form the foundation for a broader pedagogical system aimed at developing students' modelling competencies through progressively complex studies across various knowledge domains.

International scientific-practical conference “Current Issues of the World Economy, International Economic Relations and International Communications Amidst the Formation of a New World Order and Polarization of the World” (March 24–25, 2025). Vol. 1. Riga, Latvia : Baltija Publishing, 2025. 340 pages.