ARTIFICIAL INTELLIGENCE IN EDUCATION: A REVIEW OF THE CREATIVE PROCESS OF LEARNING STUDENTS ON ART EDUCATIONAL PROGRAMS

相关性(法律) 过程(计算) 课程 视觉艺术教育 领域(数学) 计算机科学 适应(眼睛) 艺术 工程伦理学 数学教育 心理学 教育学 工程类 视觉艺术 政治学 操作系统 艺术 数学 神经科学 纯数学 法学
作者
Meruyert Zhanguzhinova
出处
期刊:Centralʹno-Aziatskij iskusstvovedčeskij žurnal [T. K. Zhurgenov Kazakh National Academy of Arts]
卷期号:9 (2): 289-307
标识
DOI:10.47940/cajas.v9i2.858
摘要

The relevance of the study is driven by the advancing development of artificial intelligence (AI), which presents new prospects for the creative education of students on Art educational programs. The research problem lies in the current challenges to traditional art learning practices, which are losing relevance due to changes and the potential integration of artificial intelligence (AI) technologies. The aim of the research is to review the creative learning process of art students to identify: criteria for forming competencies in the fields of visual arts with the application of AI technologies, AI tools for teaching students in the field of visual arts, key competencies in working with virtual tools for students and teachers in the field of education and art, and to define recommendations for the implementation of AI in the art students’ learning process. The methodological framework is based on interdisciplinary examination of researchers' works in education and art. Research methods include overview-theoretical, art-historical, methodological-pedagogical analysis, as well as comparative and case–study approaches. The theoretical significance of the research lies in reviewing the trajectories of education in the field of neural networks and providing scientific–theoretical justification for the application of AI technologies in the creative learning process of students enrolled in visual arts programs. The practical value offers recommendations for the formation of modern and efficient educational strategies in the field of art at the student level, including the specification of concepts and terms, defining curricula with new educational methodologies and personalized educational practices, adaptation to changing labor market demand, and laying the groundwork for further research. Implementing the research findings will enable the systematization and optimization of methodologies and approaches to the creative learing process of students on Art educational programs through AI tools, virtual, and augmented reality.

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