Author(s)

Jiajia Deng

Corresponding Author

Jiajia Deng

Abstract

With the rapid development of Artificial Intelligence Generated Content (AIGC) technology, the trend towards intelligence and personalization in the field of education is becoming increasingly evident. AIGC technology, with advanced technologies such as deep learning, natural language processing, and computer vision, can dynamically generate personalized learning resources based on learners' interests, abilities, and needs, and intelligently plan learning paths. Especially in the field of art education, AIGC not only provides rich artistic materials and intelligent recommended learning tasks, but also stimulates learners' creativity through interactive creation tools, enhancing the immersion and interactivity of the learning experience. This study starts from the basic concepts of AIGC, explores its application in personalized art education, analyzes how AIGC optimizes learning paths, including intelligent content generation, adaptive learning recommendation, personalized feedback systems, etc. At the same time, it analyzes its technical limitations, reduced teacher-student interaction, ethical and copyright challenges, and proposes corresponding solutions. Through this study, the aim is to provide theoretical support and practical guidance for the intelligent and personalized development of future art education, and to promote the deep application of AIGC in the field of education.

Keywords

AIGC; Personalized Learning; Art Education; Learning Path