Shifting Canvases: The Evolution of Media and Techniques in Art Education with Generative AI

Authors

DOI:

https://doi.org/10.56741/jardin.v1i01.1248


Keywords:

AI-generated Art, Art Education, DALL·E, Generative AI, Interactive Art, MidJourney, Runway ML

Abstract

Generative AI has revolutionized art education by introducing novel media and techniques,  from AI-generated art and generative design to interactive, co-creative workflows. This opinion-based article critically examines how tools like DALL·E, MidJourney, Artbreeder, and Runway ML transform artistic teaching and learning. Through a literature review, we identify pedagogical implications, democratization effects, and ethical considerations. Our results, presented in structured tables, highlight emerging opportunities and tensions. We argue that AI serves as both a disruptor and enhancer, necessitating updated curriculum frameworks that embrace creative agency and critical literacy.

Author Biographies

Aysel Arslan, Civas University

is an accomplished academic with a strong interdisciplinary background in Turkish language education, learning sciences, and pedagogical research. She holds a Doctorate from Atatürk University, Turkey, where she earned her Ph.D. in Educational Sciences. She previously completed her postgraduate studies at Sivas Cumhuriyet University, with a thesis focusing on the use of the station technique in Turkish instruction and its impact on academic success, attitude, and retention. Her research interests span language pedagogy, cooperative learning strategies, motivation in education, and culturally responsive teaching. She is with Civas University and actively involved in academic publication and supervision, contributing to both national and international platforms in education and humanities. (email: arslanaysel.58@gmail.com).

Probosiwi, Universitas Ahmad Dahlan

is a lecturer at the Department of Primary Teacher Education, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, specializing in visual art, art education, and cultural studies. Her academic interests focus on how traditional and contemporary visual expressions can be integrated into educational contexts, particularly for elementary school teacher education. She has published research on the use of murals as multicultural media and pedagogical tools, highlighting their role in shaping inclusive perspectives among pre-service teachers. (email: probosiwi@pgsd.uad.ac.id).

References

J. Pavlik and O. Pavlik, “Art Education and Generative AI: Creative Practice or Algorithmic Assistance?” Creative Education, vol. 15, no. 2, pp. 407–420, 2024.

S. Sáez-Velasco, M. Alaguero-Rodríguez, V. Delgado-Benito, and S. Rodríguez-Cano, “Analysing the impact of generative AI in arts education: A cross-disciplinary perspective of educators and students in higher education,” Informatics, vol. 11, no. 2, p. 37, Jun. 2024.

J. Hutson, J. Lively, B. Robertson, P. Cotroneo, and M. Lang, “Expanding horizons: AI tools and workflows in art practice,” in Creative Convergence: The AI Renaissance in Art and Design, Cham: Springer Nature Switzerland, 2023, pp. 101–132.

S. E. Park and W. Chang, “Technology Convergence in Arts and Cultural Education: What Questions to Ask?,” in Arts Education and Sustainability in a Time of Crisis, Singapore: Springer Nature Singapore, 2025, pp. 215–225.

H. Vartiainen, M. Tedre, and I. Jormanainen, “Co-creating digital art with generative AI in K-9 education: Socio-material insights,” Int. J. Educ. Through Art, vol. 19, no. 3, pp. 405–423, 2023.

J. Kim, J. Kang, T. Kim, H. Song, and J. Han, “Alphadapr: An AI-based explainable expert support system for art therapy,” in Proc. 28th Int. Conf. Intell. User Interfaces, Mar. 2023, pp. 19–31.

A. F. C. A. Fathoni, “Leveraging generative AI solutions in art and design education: Bridging sustainable creativity and fostering academic integrity for an innovative society,” in E3S Web Conf., vol. 426, p. 01102, 2023.

A. Sims, “From Creation to Curriculum: Examining the role of generative AI in Arts Universities,” arXiv preprint, arXiv:2412.16531, 2024.

T. N. Nguyen and H. T. Truong, "Trends and emerging themes in the effects of generative artificial intelligence in education: A systematic review," Eurasia J. Math. Sci. Technol. Educ., vol. 21, no. 4, p. em2613, 2025.

I. C. Domingo, "Reimagining Arts Education with AI: From Visual Creation to Personalized Learning," in Proc. CIVAE 2025: 7th Interdisciplinary and Virtual Conf. on Arts in Education, MusicoGuia, Mar. 2025, pp. 408–412.

J. M. Campbell, On the Last Afternoon: Life, Difference and Technocapital in the Age of Global Ecocide, Doctoral dissertation, ResearchSpace@ Auckland, 2021.

K. Kondo, H. Nagayoshi, M. Nagata, and J. Kanebako, "Analysis of AI Prompts for Introductory Education in Generative Art," J. Geometry Graphics, vol. 28, no. 2, pp. 213–227, 2024.

H. Lyu and S. Huang, "Aesthetic Education in the Age of Artificial Intelligence: Challenges, Opportunities, and Prospects," J. Intell. Knowl. Eng., vol. 2, no. 2, p. 103, 2024.

K. Korpikoski and M. P. Laakkonen, "Designing a Future Metaverse for Nokia: a Lifecycle for Business Process Management," in Proc. Electron. Imaging Visual Arts Conf., Polistampa, May 2024, pp. 63–68.

G. Wellner, "Digital imagination, fantasy, AI art," Found. Sci., vol. 27, no. 4, pp. 1445–1451, 2022.

Downloads

Published

2025-07-30

How to Cite

Arslan, A., & Probosiwi. (2025). Shifting Canvases: The Evolution of Media and Techniques in Art Education with Generative AI. The Journal of Art and Design Innovation, 1(01), 51–59. https://doi.org/10.56741/jardin.v1i01.1248

Issue

Vol. 1 No. 01 (2025): The Journal of Art and Design Innovation

Section

Articles

License

Copyright (c) 2025 Aysel Arslan, Probosiwi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.