Teacher Perspectives on AI Implementation in Indian Schools
Year: 2026
Type: conference-paper
Study design: Observational Study
Abstract: This research paper examines the perspectives of Indian school teachers on the implementation of Artificial Intelligence (AI) in education, focusing on their preparedness, challenges, and support needs. Conducted using a mixed-method approach, the study collected data from 215 teachers across Delhi, Maharashtra, and Karnataka through surveys and interviews. The findings reveal that while a majority of teachers are actively using AI tools for tasks like lesson planning and content generation, there exists a significant gap between usage and conceptual understanding. Many teachers lack formal training, which affects their ability to critically evaluate AI-generated content and use it effectively in classrooms. The study identifies key challenges such as inadequate training, concerns about student over-dependence on AI, risks of incorrect or misleading AI-generated information, and infrastructure limitations, especially in rural areas. It also highlights the strong need for practical, classroom-focused training, clear policy guidelines, and peer learning support systems. The paper concludes that for successful AI integration in education, teachers must be empowered with proper training, resources, and institutional support, ensuring they play an active role in shaping the future of AI-enabled learning.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7154285089
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