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AI-Driven Inclusive Learning for Rural India: A Framework for Equity, Access, and Digital Literacy
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Author(s): D. Deepak (Jain University, India), H. C. Purushotham (Jain University, India), Y. Sharath Kumar (St. Francis College, India), R. Arun (Jain University, India), K. Sowmya (Aditya College of Engineering and Technology, India)and Pavendhan Madhivanan (Aditya College of Engineering and Technology, India)
Copyright: 2026
Pages: 28
Source title:
Democratizing Education With AI and the Future of Personalized Learning
Source Author(s)/Editor(s): Raed Awashreh (United Arab Emirates University, UAE)
DOI: 10.4018/979-8-3373-2302-2.ch001
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Abstract
The chapter discusses AI as a transformation agent for inclusive digital education in rural India. While ed-tech has made strides in urban India, India being a developing nation, rural communities are still left isolated with their struggles—lack of infrastructure, low digital literacy, lack of socio-economic opportunities—all leading to accessibility issues in quality education. We propose the RAI (Rural AI for Inclusion) Framework, a contextualised model based on an inclusive pedagogy, participatory approach, and ethical AI implementation. Drawing on mixed-methods research in three districts of Karnataka, the study assesses the deployment of low-cost AI tools implementing surface accessibility in vernacular and support for teachers. Abstract: Findings show benefits regarding student engagement and instructional efficiency, as well as barriers related to infrastructure and ethics. The chapter ends with policy recommendations for implementing AI at scale, with equity and cultural responsiveness in regions with service access gaps.
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