The integration of artificial intelligence (AI) in K-12 art education represents a transformative shift in how art is taught and appreciated among young learners. As technology rapidly evolves, there is a pressing need to harness its potential to enhance the artistic creativity and expression in the classroom. Despite the growing interest in employing advanced technologies for educational purposes, our research identifies a clear gap in robust, empirical evidence supporting their efficacy in art instruction. Through a meticulous analysis of 685 academic studies over the last five years, this paper examines the trends, technologies, and evaluation in K-12 art education. We explore how these technologies are currently being implemented and their impact on learning outcomes. Our findings suggest that while the adoption of AI in K-12 art education is in its early stages, it holds significant promise for enriching the educational experience and making art more accessible and engaging for students. This study not only highlights the importance of further research in this area but also aims to guide future developments in AI-assisted art learning tools in K-12 education, ensuring they meet the needs of diverse learning environments.

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Artificial Intelligence in K-12 Art Education: A Systematic Review of Applications and Evaluations

  • Hanjun Su,
  • Nur Azlina Mohamed Mokmin

摘要

The integration of artificial intelligence (AI) in K-12 art education represents a transformative shift in how art is taught and appreciated among young learners. As technology rapidly evolves, there is a pressing need to harness its potential to enhance the artistic creativity and expression in the classroom. Despite the growing interest in employing advanced technologies for educational purposes, our research identifies a clear gap in robust, empirical evidence supporting their efficacy in art instruction. Through a meticulous analysis of 685 academic studies over the last five years, this paper examines the trends, technologies, and evaluation in K-12 art education. We explore how these technologies are currently being implemented and their impact on learning outcomes. Our findings suggest that while the adoption of AI in K-12 art education is in its early stages, it holds significant promise for enriching the educational experience and making art more accessible and engaging for students. This study not only highlights the importance of further research in this area but also aims to guide future developments in AI-assisted art learning tools in K-12 education, ensuring they meet the needs of diverse learning environments.