Unveiling the Canvas: Sustainable Integration of AI in Visual Art Education

Hanjun Su () and Nur Azlina Mohamed Mokmin ()
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Hanjun Su: Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Penang 11800, Malaysia
Nur Azlina Mohamed Mokmin: Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Penang 11800, Malaysia

Sustainability, 2024, vol. 16, issue 17, 1-13

Abstract: The rapid advancement of technology is transforming the landscape of art education, fostering a new era of creativity and learning with a focus on sustainability. By optimizing resources and reducing the reliance on physical materials, AI-supported art education enhances sustainability, broadens accessibility, and lowers environmental impacts. Despite some research on the application of smart tools in art education, there remains a gap in robust evidence supporting their effectiveness and long-term impact. This study undertakes an in-depth examination of the intersection of sustainable technologies, pedagogical theories, and assessment methods within visual art education. By reviewing 685 research articles from the past decade, we ultimately filtered them down to 36 completely relevant studies that illuminate the technological advancements in teaching visual art. Our analysis focuses on emerging trends, the theoretical frameworks underpinning learning, hardware platforms, application categories, and dependent variables used to assess the impact on sustainability. Our findings indicate that the use of technology in art education is still in its nascent stages, yet it holds significant potential for sustainable development. These insights are crucial for developers and educators, offering guidance on creating user-friendly, interactive, and sustainable art education programs that enhance student comprehension and engagement beyond the current offerings.

Keywords: artificial intelligence; art education; visual art education (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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