AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 477 · 40 questions

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.

1. 1.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recognising (c) recommending (d) predicting
2. 2.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) copies one website (d) predicts likely words
3. 3.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) trust the AI (d) share it online
4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
5. 5.🔍 Which is the odd one out? (a) spotting spam (b) spotting a sick leaf (c) unlocking with a face (d) writing a new poem
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
8. 8.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
9. 9.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
10. 10.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
11. 11.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
12. 12.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) ask it to hurry (c) copy it straight away (d) never do maths
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
16. 16.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
17. 17.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) turning speech to text (c) spotting a sick leaf (d) predicting rain
18. 18.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
19. 19.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) same steps every time (d) spots patterns in data
20. 20.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
21. 21.True or false: “examples of every type” is bad for training a model. (a) True (b) False
22. 22.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) copies of one photo (d) photos in many lights
23. 23.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
24. 24.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
26. 26.True or false: “check who is missing” helps reduce bias. (a) True (b) False
27. 27.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
28. 28.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) wrong labels (d) only one kind of example
29. 29.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a password (d) a summary
30. 30.True or false: “naming a new leaf” is a prediction. (a) True (b) False
31. 31.Which of these is a myth about AI? (a) AI answers need checking (b) AI knows everything (c) AI learns from data (d) AI copies data patterns
32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
33. 33.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
34. 34.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
36. 36.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) spots patterns in data (d) one set rule per case
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
38. 38.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
40. 40.🔍 Which is the odd one out? (a) writing quiz questions (b) unlocking with a face (c) drawing a new picture (d) writing a new poem

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