MANAGING AI TOOLS IN TRADITIONAL ART CURRICULUM
DOI:
https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6717Keywords:
Creative Pedagogy, Studio Based Learning, AI-Assisted Critique, Visual Arts Teaching, Digital Augmentation, Art Skill Development, Human-AI CollaborationAbstract [English]
The swift onslaught of artificial intelligence in the creative domain has disturbed the long-held beliefs regarding the process of learning, rehearsing, and mastering visual arts. Conventional art education has long been based on embodied methods, including observation, repetition, sensual awareness, in which a sense of touching charcoal or feeling a brushstroke is a constituent of knowledge-making. The emergence of AI, starting with search engines of generated references and composition evaluators and palette proposed, opens up breathtaking opportunities and new contradictions. The study focuses on the way AI may be managed, organized and integrated into conventional studio based art education in an ethical way. It is a synthesis of the literature published on digital art pedagogy, a study of emerging technologies changing the concept of visual learning, and the development of a multi-layered management structure of art schools. The study suggests that AI should be placed in the role of a supportive mechanism that complements, but does not substitute perceptual, manual and reflective practices that comprise the core of the traditional art learning. An example is provided in the case studies, implementation guidelines and a proposed evaluation rubric to demonstrate how this integration can be operationalized without in any way making students less creative or less skilled. The paper ends with summarizing the future research opportunities, such as the long-term monitoring of AI-aided skill development, cultural aspects of AI-generated imagery, and regulatory frameworks governing how to keep the authenticity of the hybrid art-making conditions.
References
Almelweth, H. (2022). The Effectiveness of a Proposed Strategy for Teaching Geography Through Artificial Intelligence Applications in Developing Secondary School Students’ Higher-Order Thinking Skills and Achievement. Pegem Journal of Education and Instruction, 12(3), 169–176. DOI: https://doi.org/10.47750/pegegog.12.03.18
Anggrellanggi, A., and Sari, E. K. (2023). Opportunity to Provide Augmented Reality Media for the Intervention of Communication, Perception, Sound, and Rhythm for Deaf Learners Based on Cultural Context. Pegem Journal of Education and Instruction, 13(4), 158–163. DOI: https://doi.org/10.47750/pegegog.13.04.19
Buchori, A. (2023). Virtual reality-based Virtual Lab Product Development in Developing Students’ Spatial Abilities using the Van Hiele theory Approach. Pegem Journal of Education and Instruction, 13(4), 36–42. DOI: https://doi.org/10.47750/pegegog.13.04.05
Chiu, M. C., Hwang, G. J., Hsia, L. H., and Shyu, F. M. (2022). Artificial Intelligence–Supported Art Education: A Deep Learning–Based System for Promoting University Students’ Artwork Appreciation and Painting Outcomes. Interactive Learning Environments, 1–19. DOI: https://doi.org/10.1080/10494820.2022.2100426
Huang, K. L., Liu, Y. C., Dong, M. Q., et al. (2024). Integrating AIGC into Product Design Ideation Teaching: An Empirical Study on Self-Efficacy and Learning Outcomes. Learning and Instruction, Article 101929. DOI: https://doi.org/10.1016/j.learninstruc.2024.101929
Lee, J. (2023). Practical aspects of AI collaborative art teaching and learning. Art Education Discussion, 128–155.
Liao, C.-W., Wang, C.-C., Wang, I.-C., Lin, E.-S., Chen, B.-S., Huang, W.-L., and Ho, W.-S. (2025). Integrating Virtual Reality into Art Education: Enhancing Public Art and Environmental Literacy Among Technical High School Students. Applied Sciences, 15(6), Article 3094. https://doi.org/10.3390/app15063094 DOI: https://doi.org/10.3390/app15063094
Marella, V. C. (2025). The Impact of Artificial Intelligence on Traditional Art Education. arXiv Preprint. DOI: https://doi.org/10.2139/ssrn.5403447
Miralay, F. (2022). Examination of Educational Situations Related to Augmented Reality in Art Education. International Journal of Arts and Technology, 14(2), 141–157. DOI: https://doi.org/10.1504/IJART.2022.125624
Sheridan, K. M., Veenema, S., Winner, E., and Hetland, L. (2022). Studio Thinking 3: The Real Benefits of Visual Arts Education. Teachers College Press.
Tang, Z. (2021). Integrating Artificial Intelligence into Art Education: Opportunities and Challenges. International Journal of Art and Design Education, 39(4), 583–597.
UNESCO. (2024). Exploring the Impact of Artificial Intelligence and Intangible Cultural Heritage (Policy Lab materials). United Nations Educational, Scientific and Cultural Organization.
Wang, S. (2024). Enhancing Art Education Through Virtual Reality: The Impact of Virtual Art Museums on Junior High School Students. Research and Advances in Education, 3(9), 52–58. DOI: https://doi.org/10.56397/RAE.2024.09.05
Xu, B., and Jiang, J. (2022). Exploitation for Multimedia Asian Information Processing and Artificial Intelligence–Based Art Design And Teaching in Colleges. ACM Transactions on Asian and Low-Resource Language Information Processing, 21(6), 1–18. DOI: https://doi.org/10.1145/3526219
Yang, J. (2020). Artificial Intelligence in Art and Art Education: A Review of Recent Developments. Journal of Art Education, 43(2), 167–182.
Yefimenko, L., Hörmann, C., and Sabitzer, B. (2022). Teaching and Learning with AI in Higher Education: A Scoping Review. In M. E. Auer, A. Pester, and D. May (Eds.), Learning with Technologies and Technologies in Learning (Lecture Notes in Networks and Systems, Vol. 456). Springer. https://doi.org/10.1007/978-3-031-04286-7_26 DOI: https://doi.org/10.1007/978-3-031-04286-7_26
Zheng, W., Wang, Z., Wang, S., Wang, J., and Gao, Y. (2024). Innovative Tie-Dye Pattern Design Based on Sound Visualization Technology. Wool Textile Technology, 52(5), 32–37. https://doi.org/10.19333/j.mfkj.20230906606
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Sanchi Kaushik, Dukhbhanjan Singh, Dr. Biswa Mohan Acharya, Dr. Varsha Bhosale, Divya S Khurana, Shivam Khurana

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.























