IMPACT OF GENERATIVE AI ON DRAWING SKILLS OF ANIMATION STUDENTS IN INDIA: A MIXED-METHODS SURVEY STUDY

Abstract

The emergence of generative artificial intelligence (AI) tools—such as Midjourney, DALL·E, Adobe Firefly and Stable Diffusion—has transformed animation education by reshaping ideation, visualisation, and creative workflows. Although such tools democratise access to high-quality imagery and support rapid conceptualisation, their influence on foundational drawing skills among Indian animation students remains under examined. This mixed-methods study investigates the impact of AI on observational drawing, sketching discipline, visual memory, and creative independence. Survey data from 250 animation students and interviews with drawing instructors reveal decreased manual practice, increased reliance on AI-generated references, and reduced tolerance for iterative sketching. Faculty report widening skill gaps between students who maintain drawing habits and those who depend heavily on AI shortcuts. Positive outcomes were also noted, including improved lighting comprehension and faster ideation. The study proposes a “Hybrid Drawing–AI Pedagogy Model” to balance manual craftsmanship with structured AI integration. Findings offer timely insights for curriculum reform and ethical AI adoption in Indian animation education.