Why in the news?

  • India is preparing to transform its education system by introducing Artificial Intelligence (AI) education for students from as early as Class 3, beginning with the 2026–27 academic year.

AI in Indian Education Sector

  • Policy Milestones:
    • National Strategy for Artificial Intelligence (2018): Identified education as a core sector for AI transformation. Recommended adaptive learning, predictive analytics, and digitization of records.
    • National Education Policy (NEP) 2020: Promotes digital learning and AI literacy starting early in school.
    • CBSE Initiatives: Over 18,000 schools offer AI as a skill subject from Class 6 (15-hour module); Classes 9–12 have AI as an optional subject.
    • MoE Announcement (Oct 2025): From 2026-27, AI will be taught from Class 3 onwards for all students. Frameworks for teacher training and curriculum are being developed.
    • CISCE Board: Robotics and AI included in curriculum since 2025-26.
  • Applications of AI in school education:
    • Personalized Learning: AI adapts content to each student’s pace, strengths, and weaknesses (e.g., Embibe, Byju’s adaptive platforms).
    • Administrative Tasks: AI automated grading, attendance, planning, freeing up teacher time (e.g., Knewton, TeacherKit).
    • Equitable Access: Platforms like DIKSHA and SWAYAM use AI for multilingual and accessible content delivery.
    • Special Needs Support: Text-to-speech, language translation, virtual tutors increase inclusion.
    • Teacher Training: Pilot AI tools help teachers prepare lesson plans and deliver more interactive lessons.
  • Advantages:
    • Boosts student engagement with interactive and gamified tools (Labster, Quizizz).
    • Bridges teacher shortage by scaling personalized instruction.
    • Improves data-driven decision making for school management.
    • Supports diverse learners by overcoming language and ability barriers.
  • Challenges:
    • Digital Divide: Unequal access risks excluding rural/under-resourced students.
    • Data Privacy & Ethics: Managing sensitive student data and algorithmic bias is crucial.
    • Over-reliance on AI: Can weaken critical thinking, authentic learning.
    • Capacity & Skills: Training over one crore teachers to deliver AI content.
    • Job Displacement Concerns: Concerns regarding AI replacing teachers.