AI in Indian Education: Opportunities, Challenges, and Emerging Paths in the Global South

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Authors: Rashmi Gujrati, Cemalettin Hatipoğlu, Hayri Uygun, Carlos Antônio da Silva Carvalho, Bruno Santos Cezário, Patrícia Bilotta, Patrícia Maria Dusek, Danielle P. Vieira, André Luis Azevedo Guedes
Cited by: 3
References: 37

Abstract

Despite the growing recognition of Artificial Intelligence (AI)’s potential for global education, the literature lacks strategic analyses on how to maximize personalized learning and ensure equitable access within the vast and diverse Indian educational system. The objective of this study is to analyze this strategic integration of AI into the Indian educational system, focusing on maximizing personalized learning and ensuring equitable access across diverse socioeconomic contexts, while evaluating current initiatives and the relevance of reporting guidelines, such as the use of Self-Sovereign Identity (SSI). The methodology employed bibliographic and documentary research, alongside the analysis of governmental and sectoral policies. The results indicate that the sustainable implementation of AI is critically dependent on the mitigation of algorithmic bias and the rigorous assurance of data privacy. In conclusion, to balance technological innovation with human-centered pedagogical approaches, maintaining the educator’s fundamental role and fostering collaboration among stakeholders for responsible governance are essential.

Fields of Study & Subjects

Online Learning and Analytics Global Educational Policies and Reforms Ethics and Social Impacts of AI

Publication details

Journal / source
Education Sciences
Publisher
MDPI AG
Volume
16
Issue
2
Pages
179–179
Publication date
23 January 2026
Language
EN