Research Article | | Peer-Reviewed

Co-creating with AI in Art Education: On the Precipice of the Next Terrain

Received: 13 May 2024     Accepted: 31 May 2024     Published: 13 June 2024
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Abstract

In exploring the collaborative engagement of AI in envisioning the future through Art Education, a critical focus emerges on the role of preservice teacher education. This inquiry underscores the necessity of equipping educators with the essential skills and resources to integrate AI-driven content creation, thereby nurturing students' futuristic imagination. To empower educators in this endeavor, it is imperative to provide structured curriculum frameworks and technical proficiency in utilizing AI software tools. By adeptly training preservice teachers in leveraging AI resources, it is necessary to catalyze a new wave of aesthetic innovation transcending the digital era. The competency of educators in integrating AI will significantly shape the capacity of the next generation to innovate and co-create with this technology. Hence, there is a pressing need to invest in preservice training and foster a culture of AI experimentation within educational environments. There exist issues of bias, accuracy, ethics, and safety when utilizing AI, and these also need to be addressed in the classroom space. This paper aims to delve into instructional models for seamlessly integrating AI into preservice training. It will deliberate on strategies for incorporating AI tools to redefine the trajectory of art and design education. Through thoughtful exploration and implementation, teachers can harness the transformative potential of AI to inspire creativity and drive innovation in the realm of Art Education.

Published in Education Journal (Volume 13, Issue 3)
DOI 10.11648/j.edu.20241303.15
Page(s) 124-132
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Preservice Training, Art Education, AI, Art Technology, Curriculum Design

References
[1] Elgammal, A. (January-February, 2019). AI Is Blurring The Definition Of Artist: Advanced Algorithms Are Using Machine Learning To Create Art Autonomously. American Scientist, 107(1), 1-6.
[2] CSER (Centre For The Study Of Existential Risk) (2023). Risks From Artificial Intelligence.
[3] Humble, N. & Mozelius, P. (November 2022). The Threat, Hype, And Promise Of Artificial Intelligence In Education. Discover Artificial Intelligence, Springer Nature,
[4] How, M.-L. & Hung W.L. D. (July 2019). Educing AI-Thinking In Science, Technology, Engineering, Arts, And Mathematics (STEAM) Education. Education Sciences, 9(184), 1-41.
[5] Gagliardi, D. M., Chiarella, S. G., Marenghi, F., Focareta, M., Cuono, S., and Torromino, G. (2024). Redefining the Role of Artificial Intelligence in Artistic Production.
[6] Lee, Y.K., Park, Y-H., & Hahn, S. (2023). Portrait Of Emotion: Empowering Self-Expression Through AI-Generated Art. Human Factors Psychology Lab, Seoul National University,
[7] Leonard, N. (July, 2020). Entanglement Art Education: Factoring Artificial Intelligence And Nonhumans Into Future Art Curricula. Art Education, 22-28.
[8] Manovich, L. (2022). Artificial Aesthetics: A critical guide to AI, media and design. Who is an Artist in AI Era? Ch. 2, Manovich.net, academia.edu.
[9] Manovich, L. (2022). Artificial Aesthetics: A critical guide to AI, media and design. Human Perception and the Artificial Gaze. Ch. 6, Manovich.net, academia.edu.
[10] Miller, A. (2014). Colliding Worlds: How Cutting-Edge Science Is Redefining Contemporary Art. Norton & Co., Inc. New York: NY.
[11] Open AI, 2023,
[12] Otto, F., Kling, N., Schumann, C-A., Tittmann, C. (2023). A Conceptual Approach To An AI-Based Adaptive Study Support System For Individualized Higher Education. 16(2), 69-80.
[13] Ryan, M. (June, 2020). In AI We Trust: Ethics, Artificial Intelligence, And Reliability. Science and Engineering Ethics, Springer,
[14] Shear, M., Kang, C., & Sanger, D. (July 21, 2023). Pressured By Biden, A.I. Companies Agree To Guardrails On New Tools. New York Times,
[15] Vartiainen, H., Tedre, M., & Jormanainen, I. (2023). Co-creating digital art with generative AI in K-9 education: Socio-material insights. International Journal of Education Through Art. Vol. (19)3.
Cite This Article
  • APA Style

    Mayo, S. (2024). Co-creating with AI in Art Education: On the Precipice of the Next Terrain. Education Journal, 13(3), 124-132. https://doi.org/10.11648/j.edu.20241303.15

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    ACS Style

    Mayo, S. Co-creating with AI in Art Education: On the Precipice of the Next Terrain. Educ. J. 2024, 13(3), 124-132. doi: 10.11648/j.edu.20241303.15

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    AMA Style

    Mayo S. Co-creating with AI in Art Education: On the Precipice of the Next Terrain. Educ J. 2024;13(3):124-132. doi: 10.11648/j.edu.20241303.15

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  • @article{10.11648/j.edu.20241303.15,
      author = {Sherry Mayo},
      title = {Co-creating with AI in Art Education: On the Precipice of the Next Terrain
    },
      journal = {Education Journal},
      volume = {13},
      number = {3},
      pages = {124-132},
      doi = {10.11648/j.edu.20241303.15},
      url = {https://doi.org/10.11648/j.edu.20241303.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.edu.20241303.15},
      abstract = {In exploring the collaborative engagement of AI in envisioning the future through Art Education, a critical focus emerges on the role of preservice teacher education. This inquiry underscores the necessity of equipping educators with the essential skills and resources to integrate AI-driven content creation, thereby nurturing students' futuristic imagination. To empower educators in this endeavor, it is imperative to provide structured curriculum frameworks and technical proficiency in utilizing AI software tools. By adeptly training preservice teachers in leveraging AI resources, it is necessary to catalyze a new wave of aesthetic innovation transcending the digital era. The competency of educators in integrating AI will significantly shape the capacity of the next generation to innovate and co-create with this technology. Hence, there is a pressing need to invest in preservice training and foster a culture of AI experimentation within educational environments. There exist issues of bias, accuracy, ethics, and safety when utilizing AI, and these also need to be addressed in the classroom space. This paper aims to delve into instructional models for seamlessly integrating AI into preservice training. It will deliberate on strategies for incorporating AI tools to redefine the trajectory of art and design education. Through thoughtful exploration and implementation, teachers can harness the transformative potential of AI to inspire creativity and drive innovation in the realm of Art Education.
    },
     year = {2024}
    }
    

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Author Information
  • Department of Art Education, School of Visual Arts, New York, U. S. A

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