Hours per year
50
~1 hour per week
CBSE AI Curriculum 2026–27
Class 3 AI — what your 8-year-old will learn.
The Class 3 strand is a child's first encounter with the idea that machines can be 'smart.' There is no coding, no maths beyond what a Class 3 child already knows, and no exam pressure. The aim is to plant the four foundational seeds — pattern, algorithm, classification, and learning by example — using stories, games, and everyday observation.
Pedagogy
Activity-based learning through puzzles, games, and storytelling — embedded in Mathematics and The World Around Us.
Assessment
Continuous and qualitative. No formal exam. Teachers observe how a child sorts, predicts, and explains — using interactive worksheets and group activities.
The four strands of Class 3 AI
CBSE organises each grade's AI curriculum into four strands. Here are Class 3's.
Strand A
Smart vs. Not Smart
Strand B
Pattern Power
Strand C
Algorithms are Recipes
Strand D
AI Senses
What your child will learn
- ✓ What makes something 'smart' — and what doesn't
- ✓ Spotting patterns in nature, music, and daily routines
- ✓ Writing simple step-by-step recipes (algorithms) a robot could follow
- ✓ How a camera 'sees' and a microphone 'hears' — the input-process-output loop
Key concepts — explained for Class 3
Each of these is a real Dhee Learning session — written for parents, mapped to the CBSE strand.
What makes something smart? AI explained for kids
When does a machine count as 'smart'? A gentle first introduction to AI for Class 3 children.
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Is your fridge smart? AI vs not-AI for kids
Why a voice assistant is intelligent but the fridge that keeps your milk cold isn't.
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Input, Process, Output — the basic AI loop
The simplest model of how every computer and every AI works — explained for Class 3.
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Who can learn — animals, humans, or machines?
Learning means changing what you do after experience. Which of these three can really learn? A Class 3 intro to how AI learns.
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When does a machine surprise you? Spotting AI for kids
A simple test for telling AI apart from an ordinary machine: does it ever do something you didn't expect from its rules?
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Can a machine feel emotions? AI feelings explained for kids
Why even the friendliest voice assistant has no feelings — and what feeling really needs. For Class 3 children.
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Who makes AI? AI is a tool built by people
Every AI was designed and trained by humans with a goal in mind. Why that matters — explained for Class 3 kids.
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Why does AI make funny mistakes? AI errors for kids
AI fails in predictable ways when the real world doesn't match what it learned. The funny failures, explained for kids.
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Patterns in nature — the first step to understanding AI
A pattern is something that repeats predictably. Spotting patterns in nature is the same skill AI uses. For Class 3.
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Patterns in music and rhythm explained for kids
Rhythm is a pattern of sounds and silences. How recognising it builds the pattern skill behind AI. For Class 3.
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Patterns in your daily routine — pattern thinking for kids
Your day repeats in a pattern, just like the data AI learns from. A Class 3 look at time-based patterns.
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The 'what comes next?' game — how AI predicts patterns
Guessing the next item in a sequence is the core skill of AI pattern recognition. A game for Class 3 kids.
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When a pattern breaks — spotting the odd one out
A pattern break is anything that doesn't fit the rule. Why noticing it is a key thinking skill. For Class 3 kids.
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Sorting and grouping — how AI organises things
Sorting puts things in order; grouping clusters similar things. The same idea AI uses to classify. For Class 3.
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What is a feature? How AI tells things apart — for kids
A feature is a property that helps you identify something. How AI uses features to classify. For Class 3 children.
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Same, similar, or different? How AI measures likeness
Similarity is a spectrum, not a yes/no. Why that matters for how computers compare things. For Class 3 kids.
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How computers see patterns vs how humans do — for kids
Computers see patterns as numbers; humans see meaning. The surprising difference, explained for Class 3.
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Optical illusions — when patterns fool your brain and AI
Illusions trick your brain into using the wrong pattern rule — and AI gets fooled too. For Class 3 kids.
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What is an instruction? Algorithm basics for kids
An instruction tells you exactly what to do. The first step to understanding algorithms. For Class 3 children.
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What is an algorithm? The Robot Chef explained for kids
An algorithm is a recipe precise enough for a machine to follow without guessing. A tasty intro for Class 3.
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What happens when an algorithm has a missing step?
Leave out one step and the whole task breaks. Why algorithms must be complete. For Class 3 kids.
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Why order matters in an algorithm — for kids
Change the order of the steps and you change the result. A Class 3 lesson in algorithmic thinking.
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If-then decisions — how algorithms make choices
Algorithms make choices with 'if this, then that'. The conditional, explained for Class 3 children.
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What is a loop? Repeating steps in algorithms — for kids
A loop repeats steps until a job is done. How computers avoid writing the same thing over and over. For Class 3.
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What is debugging? Finding the broken step — for kids
Debugging means finding and fixing the error in your steps. A core problem-solving skill. For Class 3 children.
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Every game is an algorithm — rules and turns for kids
Games have starting rules, turns, decisions and an ending — exactly like an algorithm. For Class 3 kids.
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More than one way to solve a problem — for kids
Most problems have several valid algorithms. How to weigh the trade-offs. A thinking lesson for Class 3.
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When rules aren't enough — why AI learns from examples
Some tasks are too complex to write rules for — so AI learns from examples instead. The bridge to machine learning, for Class 3.
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How you see vs how a camera sees — for kids
Your brain turns light into meaning; a camera turns it into numbers. How AI 'sees'. For Class 3 children.
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What is a pixel? How digital images work — for kids
Every photo is made of tiny coloured squares called pixels. The building block of how AI sees images. For Class 3.
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How does AI hear? Sound as a pattern — for kids
Sound is a vibration AI can draw as a wavy line and read as a pattern. How voice assistants listen. For Class 3.
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How does AI read? Letters as number codes — for kids
Computers store every letter as a number. How AI turns text into something it can work with. For Class 3 children.
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What is a sensor? How machines feel the world — for kids
A sensor turns light, heat or sound into numbers a computer can use. The senses of AI. For Class 3 kids.
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How does AI learn from examples? Supervised learning for kids
AI learns to recognise things by seeing many labelled examples. The idea behind supervised learning. For Class 3.
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How do you train an AI? Collecting examples — for kids
Training an AI starts with collecting and labelling examples. The first real step in building AI. For Class 3 kids.
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Why more examples make AI better — for kids
AI improves with more varied examples — but only the genuinely new ones help. How data makes AI smarter. For Class 3.
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When examples fool the machine — AI mistakes for kids
AI can latch onto the wrong clue in its examples and learn the wrong thing. Why training data must be careful. For Class 3.
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Why good data matters — garbage in, garbage out for kids
An AI is only as good as the examples it learns from. The gentle Class 3 version of 'garbage in, garbage out'.
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How do you test an AI? An AI's report card — for kids
AI is tested on examples it has never seen before. How we know whether an AI actually learned. For Class 3 kids.
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Dhee teaches Class 3 AI the way it should be taught.
Dhee Learning doesn't hand out answers. For each Class 3 concept, Dhee asks questions, listens to your child, and probes their reasoning — exactly the spirit of the CBSE syllabus, but in 15-minute spoken sessions at home.
Common questions about Class 3 AI
What does the CBSE AI curriculum cover in Class 3? +
The Class 3 strand is a child's first encounter with the idea that machines can be 'smart.' There is no coding, no maths beyond what a Class 3 child already knows, and no exam pressure. The aim is to plant the four foundational seeds — pattern, algorithm, classification, and learning by example — using stories, games, and everyday observation.
How is AI taught in Class 3? +
Mostly unplugged — pencil-and-paper games, sorting activities, classroom Safari hunts. CBSE explicitly emphasises hands-on, screen-free learning at this age.
Is there an exam for AI in Class 3? +
Continuous and qualitative. No formal exam. Teachers observe how a child sorts, predicts, and explains — using interactive worksheets and group activities.
How can my child practise CBSE AI Class 3 at home? +
Dhee Learning is an AI study buddy whose syllabus mirrors the CBSE Class 3 AI strands. Your child can work through each concept in 15-minute sessions — Dhee asks questions and listens, instead of handing out answers.