Journal Article

Artificial Intelligence in Fine Arts Education: A Systematic Literature Review

Md Noor, Harrinni, Zeng, Yance, Sabri, Muhammad Faiz

2026

Overview

Artificial Intelligence (AI) has emerged as a transformative force across various domains, including education. In fine arts education, AI offers unprecedented opportunities to innovate teaching methodologies, foster creativity, and enhance student engagement. While significant advancements have been made in integrating AI into fine arts education through techniques such as Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs), and Large Language Models (LLMs), there is a notable lack of a comprehensive review summarizing these developments. To bridge this gap, this study systematically examines the most adopted applications of AI in fine arts education from 2019 to 2024. Utilizing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, an exhaustive review of 78 studies was conducted, focusing on the types of technologies commonly employed by AI in fine arts education and the specializations within fine arts education that leverage AI. This review further provides a structured analysis of existing literature, focusing on their methodologies, objectives, and trends. The study highlights the transformative potential of AI in fine arts education while identifying critical gaps and challenges that require further investigation. By offering a comprehensive analysis, it serves as a roadmap for educators, researchers, and policymakers to harness AI’s capabilities in the fine arts domain effectively. How Artificial Intelligence Is Changing Fine Arts Education: A Global Review of New Tools, Teaching Methods, and Challenges from 2019 to 2024 This study explores how artificial intelligence (AI) is being used to transform fine arts education. Over the past few years, AI has started to play an important role in classrooms and studios, helping students and teachers in new and exciting ways. AI tools can now support drawing, music, performance, and even creative writing, making art lessons more interactive and tailored to each student’s needs. To better understand this trend, the study reviewed 78 research papers published between 2019 and 2024. These papers discussed how technologies like image-generating programs, virtual and augmented reality, and language-based chatbots (such as ChatGPT) are used in fine arts education. The review found that AI is most commonly used in visual arts education-like painting and design-while other areas like music, theater, and creative writing are still catching up. The findings show that AI can enhance creativity, help students express their ideas in new ways, and make learning more personal and engaging. For teachers, AI offers tools to better understand student progress and provide real-time feedback. However, the study also points out challenges, such as the need for teacher training, the cost of new technologies, and ethical questions about using AI to create art. Overall, this review helps educators, school leaders, and policymakers understand where AI is being used effectively in fine arts education, where it’s still missing, and what can be done to ensure that all students can benefit from these powerful new tools. It encourages schools to consider how AI can support-not replace-human creativity in the classroom.

• Publisher: SAGE Publishing