The Central Board of Secondary Education has moved closer to introducing a structured framework for teaching digital and analytical thinking across Indian schools. A draft proposal on the integration of artificial intelligence and computational thinking into the curriculum for Classes III to XII has been sent to the National Council of Educational Research and Training for expert review.
Curriculum aims and national alignment
The proposed plan intends to foster digital literacy and problem-solving skills at an early age. Aligned with the latest national policy directions, the curriculum will help standardize the way artificial intelligence is taught across all school boards. The ministry of education’s decision to introduce these topics as early as Class III is aimed at building a foundation in computational thinking from the start of a student’s educational journey.
Review and next steps
Officials at the National Council of Educational Research and Training have announced the formation of a panel to examine the draft in detail. This committee is charged with providing recommendations, after which the revised curriculum will be implemented nationally. The intention is to ensure the approach is balanced, progressive, and relevant to students at various learning stages.
Implementation and future vision
Once in place, the new curriculum will form part of the core learning experience for all students in Classes III through XII. With a focus on developing practical skills and ethical understandings of technology, the program aims to prepare young learners for future academic and career paths in a digital world. By embedding digital literacy and computational thinking in foundational and secondary education, the initiative seeks to make India’s next generation ready for technological change and innovation in a rapidly evolving landscape.
Components incorporated
AI basics for Classes 3 to 5 (around 50 hours)
AI skill module and activities for Classes 6 to 8 (about 15 hours currently)
AI as an optional skill subject in Classes 9 and 10, covering multiple AI domains
AI and machine learning electives for Classes 11 and 12
Use of AI for intelligent tutoring and personalized learning
Emphasis on computational thinking, problem-solving, creativity, and collaboration skills
Supplementary materials like handbooks and worksheets for AI education


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