This article examines opportunities and constraints of using AI tools in preschool methodological work, drawing on empirical evidence. The study was conducted in March–May 2025 at Nursery-Kindergarten No. 9 “Erkemai” (Uralsk); 21 teachers participated. The aim is to describe a functional AI “tool ecosystem” aligned with core methodological functions (professional development, documentation, digital didactic materials, assessment/monitoring, and professional reflection) and to justify risk-based implementation boundaries. The toolkit included ChatGPT/Claude/Gemini (professional learning and infographics), Tome and Gamma (methodological documents), Google Forms with AI-assisted analytics (assessment and monitoring), Coursera/Udemy (microlearning), and AI tutors on EdTech platforms (personalized learning trajectories). A mixed-methods design combined pre/post measurement of teachers’ digital competence, rubric-based evaluation of AI-assisted methodological outputs, and survey-plus-qualitative analysis of reflection and motivation. The paper proposes key reporting metrics (digital competence dynamics, product quality, reflection level change, analytics efficiency, and risks related to privacy, reliability, copyright, and over-reliance) and concludes that preschool AI adoption should be governed by local policies ensuring data protection, human oversight, and competency development. Keywords: preschool education, methodological work, artificial intelligence, digital competence, professional reflection.
В статье рассмотрены тенденции энергопотребления и углеродных выбросов в странах Центральной Азии за период 1992-2022 гг. и их сопоставление с мировыми процессами. Выявлены ключевые различия между странами региона по уровню потребления электроэнергии на душу населения, определены долгосрочные закономерности их развития. Показано, что Казахстан занимает ведущие позиции, демонстрируя рост после кризисного снижения 1990-х годов, в то время как Кыргызстан и Таджикистан сохраняют низкие показатели. Установлено, что Туркменистан и Узбекистан характеризуются поступательным увеличением энергопотребления в последние два десятилетия. Проанализирована динамика доли стран Центральной Азии в мировом энергопотреблении. Определено, что, несмотря на рост абсолютных показателей, относительная роль региона в глобальном энергобалансе снизилась более чем в два раза, что отражает ускоренное развитие энергетики в других регионах мира. Рассмотрено соотношение энергопотребления и углеродных выбросов. Показано, что Казахстан и Узбекистан формируют наибольший вклад в региональные выбросы CO₂, при этом их доля в мировом объеме эмиссий также сокращается. Обосновано, что выявленные тенденции имеют важные политико-экономические последствия. Определено, что ключевыми направлениями для стран региона являются повышение энергоэффективности, модернизация тепловых электростанций, развитие возобновляемых источников энергии и углубление регионального сотрудничества. Сделан вывод о необходимости продолжения исследований в области устойчивого развития энергетики Центральной Азии, включая сценарии декарбонизации и оценку социально-экономических последствий перехода к низкоуглеродной экономике. The article examines trends in energy consumption and carbon emissions in Central Asian countries over the period 1992-2022 and their comparison with global processes. Key differences between the countries of the region in terms of electricity consumption per capita have been identified, and long-term patterns of their development have been identified. It is shown that Kazakhstan occupies a leading position, demonstrating growth after the crisis decline of the 1990s, while Kyrgyzstan and Tajikistan maintain low rates. It has been established that Turkmenistan and Uzbekistan have been characterized by a progressive increase in energy consumption over the past two decades. The dynamics of the share of Central Asian countries in global energy consumption is analyzed. It is determined that, despite the increase in absolute indicators, the relative role of the region in the global energy balance has more than doubled, reflecting the accelerated development of energy in other regions of the world. The ratio of energy consumption and carbon emissions is considered. It is shown that Kazakhstan and Uzbekistan make the largest contribution to regional CO₂ emissions, while their share in global emissions is also decreasing. It is proved that the identified trends have important political and economic consequences. It was determined that the key areas for the countries of the region are improving energy efficiency, modernizing thermal power plants, developing renewable energy sources and deepening regional cooperation. It is concluded that there is a need to continue research in the field of sustainable energy development in Central Asia, including decarbonization scenarios and an assessment of the socio-economic consequences of the transition to a low-carbon economy.
The purpose of the study was to analyse the influence of artificial intelligence on modern socio-cultural processes to identify key trends and factors determining its development, to reveal positive and negative aspects of the integration of artificial intelligence into various spheres of public life, including work, education, medicine, and cultural and social relationships. A methodology has been developed that defines the stages of analysing the socio-cultural impact of artificial intelligence. The main trends determining the influence of artificial intelligence on modern socio-cultural processes were identified, which included automation of labour, changes in educational and medical practices, and the impact on cultural and social relationships. This provided an understanding of how the development of artificial intelligence leads to changes in the world of work, including the automation of routine tasks, the consequences for the labour market and employment. The use of artificial intelligence has changed teaching methods and educational programmes, and influenced schoolchildren, teachers, and educational institutions. The paper provided a comprehensive description of society’s perception of the use of artificial intelligence, revealing both its positive and negative aspects. The positive aspects included increased productivity, increased innovation, and improved services, while the negative aspects covered job losses, data privacy concerns, and ethical issues. The results showed that the integration of artificial intelligence into modern socio-cultural processes has significantly influenced society. The study identified a number of issues and challenges, including potential job losses, data privacy issues, and ethical issues.
This article presents the first data on U–Pb LA-ICP-MS radioisotope dating of the Mastodonsaurus tetrapod fauna (Middle Triassic). The radioisotope age (241.6 ± 1.0 Ma) of the deposits, which directly underlie the beds of the Inderian Horizon with Mastodonsaurus fauna in the Kok-Tau section (Caspian basin), indicate that the basement of the Inderian Horizon approximately corresponds to the boundary of the Anisian and Ladinian stages and can be used as an approximate lower age limit of the distribution of this fauna. This radioisotope age, as well as the paleontological data on the Bukobai Horizon of South Urals, allows us to estimate the age of the Mastodonsaurus fauna as entirely Ladinian. A paleogeographic model of sedimentation conditions in the Elton and Inder periods is proposed.
В статье исследуются тенденции развития информационно-коммуникационных технологий для изучения поведения потребителей в процессе управления брендом. В условиях стремительного развития цифровых технологий и роста объемов данных особую значимость приобретает цифровой анализ потребительского поведения. Выявлены тренды в поведении потребителей – усиление экологической осведомленности и этики, распространение электронной коммерции, увеличение мобильного опыта, усиление роли персонификации. Обосновано влияние изменений в поведении потребителей на процесс позиционирования и продвижения брендов. Охарактеризованы ожидания и действия потребителей и направления процесса управления брендом в результате трансформации потребления. Акцентировано внимание на роли, которую играют информационно-коммуникационные технологии в изучении потребительского поведения в процессе управления брендом. Систематизированы основные инструменты по видам информационно-коммуникационных технологий. Определено, что основным видом информационно-коммуникационных технологий, за счет которого обеспечивается высокая степень персонализации, являются социальные сети. Кроме того, для изучения поведения потребителей были использованы технологии анализа веб-данных, электронной почты, данных мобильных устройств. Практическое использование предложенного методического подхода позволит получить более достоверную информацию о различных составляющих потребительского поведения. Это может создать предпосылки для разработки эффективной стратегии позиционирования и продвижения бренда. The article examines the trends in the development of information and communication technologies for studying consumer behavior in the brand management process. In the context of the rapid development of digital technologies and the growth of data volumes, digital analysis of consumer behavior is of particular importance. Trends in consumer behavior have been identified, such as increased environmental awareness and ethics, the spread of e–commerce, an increase in mobile experience, and the strengthening of the role of personalization. The influence of changes in consumer behavior on the process of brand positioning and promotion is substantiated. The expectations and actions of consumers and the directions of the brand management process as a result of the transformation of consumption are characterized. Attention is focused on the role that information and communication technologies play in the study of consumer behavior in the brand management process. The main tools by types of information and communication technologies are systematized. It is determined that the main type of information and communication technologies, which provides a high degree of personalization, are social networks. In addition, technologies for analyzing web data, email, and mobile device data were used to study consumer behavior. The practical use of the proposed methodological approach will allow obtaining more reliable information about the various components of consumer behavior. This can create the prerequisites for developing an effective brand positioning and promotion strategy.
