Why in the news?

  • In recent years AI in Education is gaining importance in the sector.

AI in Education

  • What is it?: Artificial Intelligence (AI) in education refers to the use of intelligent systems and algorithms to personalize learning, automate administrative tasks, and improve teaching–learning outcomes.
  • Application
    • Personalized Learning
      • Adaptive platforms that adjust difficulty levels (e.g., Byju’s, Khan Academy AI tools).
      • Tailored content based on students’ strengths and weaknesses.
    • Intelligent Tutoring Systems (ITS)
      • AI-driven tutors offering explanations, practice, and instant feedback.
    • Automation of Administrative Tasks
      • Grading, attendance, scheduling, and performance analytics.
    • Language & Inclusivity
      • Translation tools (e.g., Bhashini in India) enabling multilingual education.
      • Speech-to-text for differently abled students.
    • Virtual & Immersive Learning
      • AI combined with AR/VR for experiential learning in subjects like science, medicine, and history.
    • Early Warning Systems
      • Predictive analytics to identify dropouts, low performance, and recommend interventions.
  • Benefits
    • Accessibility & Inclusion: Reaches remote learners, supports differently abled students.
    • Efficiency: Reduces teachers’ non-academic workload.
    • Engagement: Interactive tools foster curiosity.
    • Data-driven Insights: Helps educators refine teaching strategies.
    • Scalability: Can reach millions of students simultaneously.
  • Challenges
    • Digital Divide: Unequal access to devices and internet.
    • Bias in AI Systems: May reinforce inequalities if trained on biased data.
    • Privacy & Security: Risk of misuse of sensitive student data.
    • Teacher Dependence: Over-reliance on AI may weaken human connection in learning.
    • High Costs: Infrastructure and training burdens on schools.
  • Policy & Initiatives in India
    • National Education Policy (NEP) 2020: Emphasizes AI-enabled learning and digital literacy.
    • Responsible AI for Youth 2020: Initiative by MeitY & NASSCOM to skill school students in AI.
    • Bhashini (National Language Translation Mission): Breaking linguistic barriers in learning.
    • PM eVIDYA & SWAYAM: AI-enabled platforms for online learning.
  • Global Examples
    • China: AI-powered classrooms with facial recognition to monitor engagement.
    • USA: AI in adaptive testing (Duolingo, Coursera AI).
    • UNESCO: “AI for Sustainable Development” in education guidelines.
  • Ethical & Governance Issues
    • Need for explainable AI in education.
    • Concerns over student surveillance.
    • Ensuring teacher autonomy while using AI.
    • Alignment with SDG 4 – Quality Education.
  • Way Forward
    • Bridge digital divide with affordable access.
    • Strong data protection laws to secure student data.
    • Teacher training in AI literacy.
    • Public-private partnerships for AI EdTech solutions.
    • Focus on AI as an assistant, not a replacement to teachers.