AI in Education: Key takeaways from Dharmendra Pradhan's third consultative committee meeting
Union Education Minister Dharmendra Pradhan chaired the third meeting of the Consultative Committee on the Use of Artificial Intelligence in Teaching and Learning in New Delhi. The message was clear: use AI to make quality education more inclusive, accessible, and equitable-while keeping learning student-centric and personalised.
He acknowledged the committee's inputs and reaffirmed the government's focus on improving learning outcomes, supporting teachers, and addressing diverse learner needs. If you work in education, this meeting points to what you'll soon see in classrooms, labs, and administration.
School education: What changes on the ground
AI is being woven into school education consistent with NEP 2020. Expect age-appropriate computational thinking and AI literacy from the foundational stage, more project-based learning, and AI as a formal skill subject at the secondary level.
- DIKSHA 2.0: Personalised learning pathways, teacher resources, and digital content at scale. Explore the platform at diksha.gov.in.
- e-Jaadui Pitara: Early-years content with interactive experiences.
- Guru-Mitra: AI support for teachers-planning, resources, and feedback.
- TARA app: Assistive tools for foundational literacy and numeracy.
- My Career Advisor: Guidance and pathways aligned to student strengths.
- Vidya Samiksha Kendra: Real-time monitoring and analytics to track progress and inform interventions.
Higher education: Teaching, research, and employability
Institutions will see AI-enabled curriculum updates across centrally funded institutes, with more skill-based and interdisciplinary courses. Digital and physical infrastructure will be strengthened to support advanced labs, research, and collaboration.
- Curriculum refresh: Core AI literacy for all programs; deeper specialisations where relevant.
- Research and innovation: Data platforms, compute access, and industry-linked projects.
- Work readiness: Projects, internships, and certifications that map to job roles and real skills.
- Inclusion: Multilingual access, assistive technologies, and flexible learning options.
What educators and administrators can do now
- Audit digital infrastructure (devices, connectivity, LMS, data practices) and close the most urgent gaps first.
- Introduce AI literacy early: simple classification tasks, pattern recognition, and safe use guidelines in primary and middle grades.
- Adopt project-based modules: classroom chatbots, dataset explorations, or local problem-solving using no-code tools.
- Use national platforms: DIKSHA 2.0 for content, Guru-Mitra for planning, and VSK dashboards for data-driven decisions.
- Invest in teacher development: short, practical modules on prompt-writing, assessment workflows, and academic integrity with AI.
- Set guardrails: clear policies on privacy, bias, attribution, and acceptable AI use in assignments and assessments.
- Track outcomes: monitor learning gains, time saved for teachers, and student engagement; iterate based on evidence.
Who was in the room
The meeting was attended by Minister of State for Education and Development of North Eastern Region Sukanta Majumdar; Minister of State for Skill Development and Entrepreneurship (Independent Charge) and Education Jayant Chaudhary; members of the Consultative Committee; Secretary, Department of School Education and Literacy, Sanjay Kumar; Secretary, Department of Higher Education, Dr. Vineet Joshi; and senior officials of the Ministry of Education.
Helpful next steps
- Review NEP 2020 priorities for digital and competency-based education: education.gov.in/nep-2020.
- Explore DIKSHA 2.0 for ready-to-use content and teacher support: diksha.gov.in.
- If you're planning staff upskilling, see curated AI learning paths by job role: Complete AI Training - Courses by Job.
The direction is set: AI as a practical tool to improve teaching, personalise learning, and make decisions based on real data. Start small, keep it ethical, measure results, and scale what works.
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