AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 421 · 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.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
3. 3.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) only at night (d) yes, it is smart
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
5. 5.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) predicting (c) recommending (d) recognising
6. 6.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
7. 7.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
8. 8.True or false: “old emails marked spam” is training data. (a) False (b) True
9. 9.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
10. 10.True or false: “typing a new spoken word” is the model. (a) False (b) True
11. 11.Which of these describes how AI works? (a) follows fixed rules (b) spots patterns in data (c) uses rules people wrote (d) never learns from data
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
13. 13.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
14. 14.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
15. 15.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
16. 16.True or false: a map app guessing how long a trip will take is AI generating something new. (a) False (b) True
17. 17.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it has a screen (d) it is always right
18. 18.True or false: “long answers are true” is a fact about AI. (a) True (b) False
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
20. 20.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
21. 21.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) cooking (d) recommending
22. 22.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
23. 23.🔍 Which is the odd one out? (a) only one kind of example (b) correct labels (c) checking labels twice (d) photos in many lights
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
25. 25.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
26. 26.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) predicting (d) recommending
27. 27.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
28. 28.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
29. 29.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) blurry, unclear photos (d) only one kind of example
30. 30.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
31. 31.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
32. 32.Which of these is generative AI (it makes something new)? (a) spotting spam (b) reading number plates (c) making up a story (d) predicting rain
33. 33.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
34. 34.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
35. 35.Which of these is a fact about AI? (a) AI is never wrong (b) AI can make up facts (c) AI knows everything (d) confident means correct
36. 36.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
39. 39.True or false: a music app suggesting a song you may like is AI generating something new. (a) False (b) True
40. 40.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound

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