CBSE नया AI & CT Curriculum 2026-27 | Class 3 से 12 तक पूरी जानकारी | AI Logic School
CBSE का नया AI & CT Curriculum 2026-27
CBSE New AI & Computational Thinking Curriculum 2026-27
Class 3 से Class 12 तक — सभी के लिए AI की पढ़ाई अब अनिवार्य
AI Education made mandatory from Class 3 to Class 12 for all schools
मुख्य बदलाव | Key Changes
Class 3 से AI शुरू
CBSE has launched AI & CT curriculum starting from Class 3 — the earliest integration of AI education in India's school history.
CBSE ने Class 3 से AI curriculum शुरू किया — यह भारत के स्कूल इतिहास में सबसे पहले AI की पढ़ाई है।
Compulsory Module (Class 9-10)
CT/AI is now a compulsory module for Classes 9-10 — not just an elective. It formally enters the board examination framework.
Class 9-10 में CT/AI अब अनिवार्य विषय है — अब यह सिर्फ optional नहीं रहा। Board exam में शामिल।
Theme: "AI for Education"
The curriculum is themed "AI for Education, AI in Education" — launched by Union Education Minister Dharmendra Pradhan.
Curriculum की थीम "AI for Education, AI in Education" है — केंद्रीय शिक्षा मंत्री धर्मेंद्र प्रधान ने लॉन्च किया।
Class 11-12: AI Elective
AI remains a specialised elective in Classes 11-12 (Subject Code 843) with updated syllabus and Generative AI added.
Class 11-12 में AI एक विशेष elective विषय है (Subject Code 843) — Generative AI नया जोड़ा गया।
Class-wise Breakdown | कक्षा-वार जानकारी
| Class / कक्षा | What is Taught / क्या पढ़ाया जाएगा | How / कैसे | Status |
|---|---|---|---|
| Class 3–5 कक्षा 3–5 |
Computational Thinking through Maths, Languages & EVS गणित, भाषा और EVS के जरिए CT |
Puzzles, Games, Storytelling पहेलियाँ, खेल, कहानियाँ |
NEW 2026-27 |
| Class 6–8 कक्षा 6–8 |
Foundational AI concepts + Computational Thinking AI की basic जानकारी + CT |
Activity-based, Cross-subject गतिविधि आधारित, सभी विषयों में |
NEW 2026-27 |
| Class 9–10 कक्षा 9–10 |
AI Project Cycle, CV, NLP, Data Science, Python AI Project Cycle, CV, NLP, Data Science, Python |
Theory + Practical (50+50) Theory + Practical |
COMPULSORY |
| Class 11–12 कक्षा 11–12 |
Python, Data Science, Neural Networks, Generative AI, Orange Tool Python, Data Science, Neural Networks, Gen AI |
Theory + Practical (50+50), Capstone Project Theory + Practical + Capstone Project |
ELECTIVE 843 |
Students क्या सीखेंगे | What Students Will Learn
Logical Reasoning
Think step-by-step to solve problems systematically
Pattern Recognition
Find similarities and patterns in data and problems
AI Basics
Understand how AI works in real life — phones, apps, robots
Python Programming
Code in Python for data science and AI projects
AI Ethics
Responsible and ethical use of AI technology
Data Literacy
Read, analyse and visualise data to make decisions
Timeline of CBSE AI Updates | CBSE AI बदलावों की Timeline
👩🏫 Teachers के लिए जरूरी जानकारी | Important for Teachers
- Class 3–5: Maths and subject teachers will handle CT components Class 3–5: गणित और subject teachers CT पढ़ाएंगे
- Class 6–8: Teachers from different disciplines will collaborate to integrate AI & CT Class 6–8: अलग-अलग विषयों के teachers मिलकर AI & CT पढ़ाएंगे
- Class 9–12: Computer Science teachers will lead AI instruction Class 9–12: Computer Science teachers AI की पढ़ाई करवाएंगे
- Teacher training available through NISHTHA and partner institutions NISHTHA और partner institutions के through teacher training मिलेगी
- Study materials available on DIKSHA platform — free of cost Study material DIKSHA platform पर मुफ्त में उपलब्ध होगा
NEP 2020 Alignment: This curriculum is developed in alignment with the National Education Policy 2020 and NCF-SE 2023. It promotes interdisciplinary learning — linking AI with Mathematics, Science and Humanities. For schools without digital infrastructure, "unplugged learning" activities are provided that teach AI concepts without computers or internet.
यह curriculum NEP 2020 और NCF-SE 2023 के अनुसार बनाया गया है। जिन schools में computer या internet नहीं है, उनके लिए "unplugged learning" activities दी जाएंगी जिनमें बिना computer के AI सिखाया जाएगा।Class 12 में क्या नया है 2025-26 | What's New in Class 12
Unit 7: Generative AI (NEW)
ChatGPT, Gemini API, LLMs, Prompt Engineering, Canva AI, Animaker — all added to Class 12 syllabus.
ChatGPT, Gemini API, LLMs, Prompt Engineering — ये सब Class 12 syllabus में जोड़े गए।
Orange Data Mining Tool
Orange Tool for no-code AI — Classification, NLP, Word Cloud, Image Analytics now in practical file (min 3 programs).
Orange Tool से बिना code के AI — Classification, NLP — practical file में minimum 3 programs जरूरी।
Capstone Project — SDG Aligned
Group project (3-5 students) must address a UN Sustainable Development Goal. 3-minute video + documentation required.
Group project (3-5 students) किसी UN SDG से जुड़ा होना चाहिए। 3-minute video + documentation जरूरी।
Data Storytelling — Unit 8
Freytag's Pyramid structure for data stories. MDMS case study is the mandatory CBSE sample for practical file.
Data story के लिए Freytag's Pyramid। MDMS case study — practical file के लिए CBSE का अनिवार्य sample।
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