Жарияланымдар / Публикации

Постоянный URI для этого сообществаhttps://cris.qyzpu.kz/handle/123456789/2

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2023 - 20252

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    Development of Innovative Activities of Future Design Specialists Based on Student-Centred Learning
    (2023-01-01)
    Zhazira Stambekova
    ;
    Raissa Izmagambetova
    ;
    Fariza Kinzhibayeva
    ;
    Karim Baigutov
    ;
    K. Kudabaeva
    The study explored the association between student-centred teachings and innovative skill development in art design students.Furthermore, the role of students' engagement and students' performance was assessed using a student-centred approach and students' innovative skills.Furthermore, the importance of the student-centred approach among art and design students in the sixth, seventh, and eighth semesters was assessed.In total, 365 students were included in the study: 115 from the sixth semester, 120 from the seventh semester, and 130 from the eighth semester from Abai Kazakh National Pedagogical University, Institute of Arts, Culture, and Sports.The data collection was performed at three different periods using a time-lag approach.Furthermore, it was found that students' creative skills are positively associated with student-centred teaching methodologies.Whereas students' level of engagement is directly linked with the student-centred approach, and students' engagement is directly associated with students' innovative skills.Similarly, students' performance is positively associated with the student-centred approach and innovative skills.The study highlighted the importance of student-centred teaching methodologies in developing students' performance and engagement.Lastly, students' innovative skills in art and design can be developed using a research model by focusing on the teaching methodologies, students' engagement, and the need for innovative skills for future design specialists.
    Цитирования (OpenAlex) 2
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    Тип записи:Публикация,
    USING ARTIFICIAL INTELLIGENCE IN THE CREATION OF ORNAMENTS AND DECORATIVE COMPOSITIONS
    (T.K. Zhurgenov Kazakh National Academy of Arts, 2025-12-20)
    Sara M Krykbayeva
    ;
    Ainur Taldybayeva
    The rapid development of digital technologies opens new horizons for the design of ornament and decorative compositions. Today, artificial intelligence (AI) is not only a tool for automation but also a full-fledged creative partner for artists, designers, and architects. Its capabilities enable it to model unique forms, transform traditional ornamental elements, and adapt them to contemporary trends in visual culture. This study examines the use of machine learning algorithms and generative neural networks (Generative Adversarial Networks, Diffusion models, etc.) in developing new decorative solutions based on both classical motifs and innovative artistic concepts. The aim of the article is to identify the potential of AI in ornamental and decorative art, demonstrate its capabilities for creating original compositions, and define the prospects for integrating AI into the professional practice of artists and designers. Research objectives: To analyze existing methods of AI application in generative design. To consider examples of neural networks applied in creating ornaments based on ethnic, natural, and abstract motifs. To reveal the advantages and limitations of AI compared to traditional methods of decorative art. To determine the prospects for synthesizing cultural heritage and modern technologies in ornamental creativity. Scientific novelty lies in a comprehensive analysis of AI’s role in the artistic process: from idea generation and motif stylization to the creation of holistic decorative compositions. Unlike the traditional understanding of ornament as a fixed set of forms, AI enables the development of dynamic, adaptive ornaments that can interact with architectural space or user preferences. Moreover, neural networks enable the recreation, reinterpretation, and integration of lost cultural patterns into modern design solutions. Thus, the use of AI in creating ornaments and decorative compositions contributes not only to the development of new artistic practices but also to the preservation of cultural heritage, expanding the boundaries of interaction between tradition and innovation. The scientific significance of this study lies in its comprehensive analysis of the role of artificial intelligence in the artistic process, from idea generation and motif stylization to the creation of entire decorative compositions. Unlike the traditional understanding of ornament as a set of fixed forms, artificial intelligence enables the creation of dynamic, fluid, and adaptive ornaments that can interact with the context of an architectural space or the user's wishes. The practical significance of the study lies in the direct application of its findings in professional practice, industry, education, and production. The obtained results demonstrate the possibility of recreating lost cultural patterns of ornament and decorative compositions using artificial intelligence, interpreting them in various ways, and integrating them into contemporary design solutions. Thus, the use of artificial intelligence in the creation of ornament and decorative compositions contributes not only to the development of new artistic practices but also to the preservation of cultural heritage, expanding the boundaries of interaction between tradition and innovation.