AI for Kids Worksheet: Part 1 Test
AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.
NameDateTime takenScore ___ / 40
- 1.🔍 Which is the odd one out? (a) a voice assistant (b) a spam filter (c) video suggestions (d) a calculator
- 2.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
- 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
- 4.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
- 5.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
- 6.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
- 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
- 8.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
- 9.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) uses rules people wrote (d) handles unseen examples
- 10.True or false: “use one group only” helps reduce bias. (a) True (b) False
- 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
- 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
- 13.True or false: “ask different people” helps reduce bias. (a) False (b) True
- 14.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
- 15.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
- 16.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) new data for testing (d) very few examples
- 17.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) False (b) True
- 18.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
- 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
- 20.🔍 Which is the odd one out? (a) AI is never wrong (b) AI answers need checking (c) AI knows everything (d) long answers are true
- 21.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) only one kind of example (d) checking labels twice
- 22.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
- 23.True or false: “AI copies data patterns” is a myth about AI. (a) False (b) True
- 24.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
- 25.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
- 26.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
- 27.🔍 Which is the odd one out? (a) reading number plates (b) unlocking with a face (c) predicting rain (d) drawing a new picture
- 28.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
- 29.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 30.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
- 31.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) True (b) False
- 32.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) printing (d) charging
- 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
- 34.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) trust the textbook (d) share it online
- 35.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) what training builds (d) recorded spoken words
- 36.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
- 37.Which of these uses AI? (a) a doorbell (b) voice typing (c) a digital watch (d) a calculator
- 38.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
- 39.True or false: “recorded spoken words” is the model. (a) False (b) True
- 40.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
Answer key
- a calculator
- AI
- a prediction
- no, it can be wrong
- a fact
- AI
- one-sided data
- True
- handles unseen examples
- False
- adds to bias
- spam
- True
- not AI
- not a real check
- new data for testing
- True
- sorts or predicts
- a prediction
- AI answers need checking
- checking labels twice
- a simple rule is enough
- False
- what training builds
- a normal program
- a normal program
- drawing a new picture
- what training builds
- uses AI
- uses AI
- True
- recommending
- spam
- trust the textbook
- recorded spoken words
- a fact
- voice typing
- True
- False
- a normal program
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students