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India plans to integrate Artificial Intelligence (AI) into the school curriculum from Class 3 onwards starting 2026-27, aligning with the National Education Policy (NEP) 2020. The goal is to prepare students for a technology-driven economy while improving access, inclusivity, and learning outcomes.

Teacher Training and Implementation

The real challenge is not introducing AI tools but upskilling over one crore educators.

  • Pilot projects led by Intel, IBM, and government institutes like the National Institute of Electronics and Information Technology are training teachers to design lesson plans using AI.
  • Over 10,000 teachers have already been trained since 2019.
  • Success depends on teachers’ confidence to use AI for lesson planning, feedback, and adaptive learning.

AI in Classrooms: From Standardization to Personalization

AI shifts education from a “one-size-fits-all” model to personalised learning.

  • Tools analyse student performance and suggest custom modules.
  • AI can assist in subjects from algebra to biology, offering individualised feedback and alternative explanations.
  • It also automates grading and attendance, freeing teachers to focus on creativity and empathy.

AI thus augments, not replaces, the human role in education — supporting teachers as mentors rather than substitutes.

Opportunities and Disruptions

According to a NITI Aayog report, AI may displace two million tech jobs in India by 2030 but create four million new roles demanding digital skills and adaptability.
Hence, AI education must focus not just on coding but on resilience and continuous learning for a changing job landscape.

Inclusivity and Accessibility

AI’s most promising contribution is in inclusive education:

  • Adaptive tools can assist learners with disabilities and those from non-English or regional backgrounds.
  • Language-translation and speech-recognition tools help bridge classroom gaps.
  • Generative AI (e.g., chatbots, virtual tutors) can provide 24×7 personalised learning support even in remote areas.

However, inclusivity must be accompanied by strong data ethics, privacy safeguards, and equitable access.

Conclusion

India’s AI-in-education initiative marks a paradigm shift in how knowledge is created, shared, and assessed.
While it holds the promise of democratising education, its success depends on:

  1. Robust teacher training,
  2. Digital infrastructure across regions, and
  3. A policy focus on ethics and accessibility.

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