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CBSE's AI curriculum for Classes 3 to 8: what parents and teachers need to know

CMDLearn ·

On 1 April 2026 CBSE issued Circular Acad-15/2026 to the heads of all its affiliated schools. It launches a Computational Thinking (CT) and Artificial Intelligence (AI) curriculum for Classes 3 to 8, from the 2026-27 session, and asks schools to "take necessary steps for effective implementation".

There has been a lot of loose talk about "AI from Class 3". This guide sticks to what the two official documents actually say: the two-page circular and the 32-page curriculum framework it links to. Links to both are at the end, so you can check every line yourself.

The short version

Who it applies to

The circular is addressed to "All the Heads of Schools affiliated to CBSE". Copies went to bodies that run CBSE schools, including Kendriya Vidyalaya Sangathan, Navodaya Vidyalaya Samiti and Eklavya Model Residential Schools, and to several state and union territory education directorates "to disseminate the information" to their schools.

If your child is in a state board school, this circular does not by itself change their syllabus. State boards decide their own curricula. The ideas are still worth knowing: they are drawn from NEP 2020 and the National Curriculum Framework for School Education 2023, which apply across India.

Why "computational thinking" first

The framework is explicit that CT comes before AI: "CT forms the basis of learning AI. So, the curriculum will begin with an introduction to CT and deepen it as we move through the stages. AI is introduced later, once the pre-requisite knowledge of CT is built for understanding AI."

It defines CT as "a structured approach to problem-solving that breaks larger problems into smaller, logical pieces, building precise, step-by-step solutions that either a person or a machine can follow", and names its parts as decomposition, pattern recognition, abstraction, algorithm design, data analysis and troubleshooting.

In plain words: a child who can break a word problem into steps, notice a pattern in a number sequence and follow a set of instructions on a grid is already doing the thinking that sits underneath AI.

Classes 3 to 5: CT inside Maths and TWAU

What the framework says
Time50 hours a year
WhereInside Mathematics and TWAU, not a separate subject
Who teachesMathematics and other subject teachers
MaterialsA resource book for each class with "the same table of contents as the subject textbook", adding CT questions to each chapter
AssessmentWritten tests with CT questions and puzzles; group activities (for example, treasure hunts); a Teacher Observation Journal

The learning outcomes for each of Classes 3, 4 and 5 are grouped under four headings, getting harder each year:

The competencies for this stage also include familiarity with the parts of a computer, internet safety and block-based coding (Scratch is the example given). Most of this stage, though, is puzzles and reasoning on paper.

Classes 6 to 8: advanced CT, AI basics and projects

ComponentHours a yearWhat it is
Advanced CT skills40Builds on Classes 3 to 5, with a resource book following the Maths textbook chapter by chapter
Introductory AI concepts20Four units of 5 hours each, listed below
Interdisciplinary projects40Projects that use CT and AI across Maths, Science, Social Studies and English

Teaching is shared: subject teachers handle the CT resources and computer teachers handle AI literacy, and the framework says CT-and-AI projects "will be assessed by the Computer teacher". Assessment includes written tests, practical examinations, thematic projects, reflections and group discussions.

The AI units, class by class (5 hours each)

ClassUnit 1Unit 2Unit 3Unit 4
6What AI is; AI vs automation; human vs machine intelligence; supervised, unsupervised and reinforcement learningData types (numbers, text, images, sound); organising data in tables and chartsSpotting patterns in data and daily routines; simple decisions from observationsOnline safety, privacy, passwords, digital footprints
7Classification, regression and clustering, with hands-on practice on a small dataset; computer vision, language processing and data scienceAI in healthcare, education, transport and communicationCollecting data; bar, line and pie charts; reading patternsBias in AI; case examples; fair use; digital citizenship
8The AI project cycle: define the problem, collect data, test AI tools, reflect and improveAI applications, with hands-on use of simple no-code tools (image classifiers, chatbots, prediction apps)How AI uses data; finding bias in datasets; strategies for fairnessPrivacy, misinformation, social impact, responsible use

Two things stand out. First, ethics is in every year, not an afterthought: digital footprints in Class 6, bias in Class 7, fairness and misinformation in Class 8. Second, the hands-on AI work in Class 8 is with no-code tools. This is AI literacy, not a programming course.

What this means for parents

What this means for teachers

What the documents do not say

To be clear about the limits of what is known from these two documents:

If you read about further CBSE instructions on this curriculum, check the date and the circular number on cbseacademic.nic.in.

Where CMDLearn fits

CMDLearn is building an AI tutor for Classes 1 to 10 in Hindi, Marathi and English, and a short "AI foundations" course for children. We are not affiliated with CBSE, and nothing we make is required for this curriculum. What we share is the approach: understanding before tools, a teacher or parent in the loop, and ethics from the first lesson. If you want to hear when early access to the AI tutor opens, join the waitlist. Our free printable worksheets are open to everyone.

Sources

Quotes and figures are from the two documents above as published on cbseacademic.nic.in, read on 12 October 2026. This is a plain-language summary, not an official CBSE document.