MANAGING AI TOOLS IN TRADITIONAL ART CURRICULUM

Authors

  • Sanchi Kaushik Assistant Professor, Department of Computer Science & Engineering(AIML), Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India
  • Dukhbhanjan Singh Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India
  • Dr. Biswa Mohan Acharya Associate Professor, Department of Computer Applications, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University) Bhubaneswar, Odisha, India
  • Dr. Varsha Bhosale Professor, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India.
  • Divya S Khurana Chandigarh Group of Colleges, Jhanjeri, Mohali, Chandigarh Law College
  • Shivam Khurana Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, Solan, 174103, India

DOI:

https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6717

Keywords:

Creative Pedagogy, Studio Based Learning, AI-Assisted Critique, Visual Arts Teaching, Digital Augmentation, Art Skill Development, Human-AI Collaboration

Abstract [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.

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Published

2025-12-16

How to Cite

Kaushik, S., Singh, D., Acharya, B. M., Bhosale, V., Khurana, D. S., & Khurana, S. (2025). MANAGING AI TOOLS IN TRADITIONAL ART CURRICULUM. ShodhKosh: Journal of Visual and Performing Arts, 6(2s), 128–138. https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6717