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The Government of India has announced the integration of Artificial Intelligence (AI) tools into teaching from the next academic session, spanning pre-primary to higher education. Anchored in the launch of Bodhan AI and the development of the Bharat EduAI Stack, the initiative seeks to create a sovereign, multilingual AI ecosystem for education. It represents a structural shift toward embedding technology within public education as Digital Public Infrastructure (DPI), aligned with the vision of the National Education Policy (NEP) 2020.

Policy Context: AI and NEP 2020

AI has emerged as a transformative technology across sectors such as healthcare, governance, agriculture, and education. In schooling, AI can enable:

• Personalised learning pathways
• Real-time assessments and feedback
• Automated grading
• Intelligent tutoring systems
• Language translation and speech recognition

However, most global AI tools are English-centric and built on foreign platforms, limiting accessibility in India’s multilingual environment. NEP 2020 emphasises foundational literacy and numeracy, multilingual education, adaptive learning, and integration of emerging technologies—providing policy backing for AI adoption in classrooms.

Institutional Framework

The initiative is anchored at the Centre of Excellence in AI for Education at IIT Madras, announced in the Union Budget with an allocation of ?500 crore. To operationalise this vision, a not-for-profit entity, Bodhan AI, has been established as the technological backbone.

Bodhan AI will develop the Bharat EduAI Stack as a Digital Public Infrastructure—similar in principle to UPI for payments. Rather than building end-user applications, it will create foundational AI building blocks that edtech firms, state governments, and institutions can integrate into their systems.

Bharat EduAI Stack: Key Components

The EduAI Stack will include:

• AI models trained in Indian languages
• Automatic speech recognition systems
• Speech synthesis tools
• Language understanding and diagnostic models

These models will be deployed on sovereign infrastructure to reduce dependence on global AI platforms. Applications developed by edtech companies can “plug into” this stack, enabling scalable deployment across schools.

Likely Applications

1. Personalised Learning for Students: AI-driven voice-based exercises can be delivered via phones, tablets, or laptops. The system can provide instant feedback, generate customised worksheets, and identify learning gaps, especially crucial for foundational literacy and numeracy.

2. Support for Teachers and Parents: AI-generated dashboards will assist teachers in tracking performance and designing remedial interventions. Parents can access insights into student progress.

3. Administrative and Policy Use: Aggregated data analytics can help districts and states assess school performance, enabling evidence-based resource allocation and policy decisions.

Funding and Sustainability

The initial funding stems from the Union Budget allocation for the Centre of Excellence. Over time, sustainability is expected through:

• Maintenance contributions from state governments
• Equity participation from start-ups using the infrastructure
• Collaborations with edtech firms

The long-term vision resembles an open, community-driven ecosystem akin to open-source platforms.

Ethical and Implementation Concerns

• Data Privacy: Student inputs and voice recordings constitute personal data. Safeguards must align with the Digital Personal Data Protection Act to prevent misuse or public storage of sensitive data.
• Screen Time: Voice-based tools are prioritised to limit excessive screen exposure.
• Digital Divide: Effective rollout requires device access, connectivity, and teacher capacity-building, especially in rural and remote regions.

Significance

The Bharat EduAI Stack represents a paradigm shift toward sovereign AI capability in education. By strengthening multilingual access, supporting teachers rather than replacing them, and creating scalable digital infrastructure, the initiative can enhance learning outcomes and reduce regional disparities. If implemented effectively, it could position India as a global leader in inclusive and public-oriented educational technology innovation.