Жарияланымдар / Публикации

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    Тип записи:Публикация,
    Adaptation of pedagogical approaches to the implementation of intelligent systems in the educational process
    (International University of Sarajevo, 2025-04-23)
    Iryna Kuchynska
    ;
    Орлов Олександр Іванович
    ;
    Алла Петрівна Кобися
    ;
    Larysa Kutsak
    ;
    Алия Керимбековна Есельбаева
    Interactive systems play an essential role in the modern educational system, but the issue of their optimization remains under-researched. Research purpose. The article aims to analyze the attitudes of teachers and students to the introduction of intelligent systems in the educational process, as well as to identify the main approaches to adapting pedagogical methods and key barriers. Research method. A purposive sample was used to include participants. Two groups were selected: students and teachers (60 participants in total). The main instrument in the study is a cross-sectional survey. Survey period: October – November 2024. Results. The findings show that intelligent learning technologies are known to all participants in the educational process: 32% actively use them, 52% are partially familiar with them, and only 14% determined that they rarely use them. Their effectiveness is undisputed, and their prospects are associated with increasing teaching efficiency. Among the problems in use are the lack of digital literacy, unresolved ethical issues, digital threats, and lack of necessary infrastructure. Recommendations are offered: increasing the motivational component, conducting special courses and training for teachers and students, improving technical support, and overcoming the shortcomings of the legislative framework. Conclusions. An essential potential of intelligent systems is their capabilities in gamification, blended learning, project-based learning, and the use of interactive lectures and seminars. The conclusions indicate that further adaptation of existing pedagogical approaches will require interactivity and adaptability.
    Цитирования (OpenAlex) 3
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    The impact of artificial intelligence on cognitive skill development in future professionals
    (Institute of Advanced Science Extension (IASE), 2026-07-01)
    Raissa Izmagambetova
    ;
    Elena Agranovich
    ;
    А.Р. Боранбаева
    ;
    Talasbek Aiman
    ;
    Akilbayeva Gulnar
    This study aims to examine how the use of Generative AI affects the development of cognitive skills among future professionals in the multilingual and multicultural education system of Kazakhstan. To achieve this, a combination of quantitative survey data and qualitative insights from semi-structured interviews was used. The research sample consisted of 148 fourth-year students from Kazakh- and Russian-language communities. Quantitative data were analyzed using descriptive statistics and the non-parametric Kruskal–Wallis H test to evaluate differences in perceptions. The findings show that participants mainly viewed AI as a supportive cognitive resource that helped them engage in the learning process and personalize their learning experience. The highest scores were observed in the Cognitive and Motivational Drivers dimension, while the Self-Directed Learning dimension suggests that students approached AI-assisted learning with some caution. The results indicate the presence of a blended learning model in which students integrate modern technologies into their education while continuing to rely on traditional learning approaches. No statistically significant differences were found between the two language groups, indicating similar attitudes toward AI. However, the findings cannot be generalized because of the specific context and the limited scope of the study.