AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 627 · 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.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
2. 2.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
3. 3.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) AI has real feelings (b) AI is never wrong (c) AI can make up facts (d) AI knows everything
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
6. 6.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
7. 7.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
8. 8.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
9. 9.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
10. 10.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
11. 11.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) the learned patterns (d) labelled fruit photos
12. 12.🔍 Which is the odd one out? (a) a printed timetable (b) a kitchen weighing scale (c) a voice assistant (d) a light switch
13. 13.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
14. 14.Which of these is good for training a model? (a) blurry, unclear photos (b) new data for testing (c) only one kind of example (d) very few examples
15. 15.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) learns from examples (d) same steps every time
16. 16.True or false: “add more of the same” helps reduce bias. (a) True (b) False
17. 17.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recognising (d) recommending
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
19. 19.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recognising (d) recommending
20. 20.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) uses rules people wrote (d) spots patterns in data
21. 21.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
25. 25.Which of these is not AI? (a) a fan regulator (b) a spam filter (c) voice typing (d) face unlock on a phone
26. 26.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
27. 27.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
28. 28.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
29. 29.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
30. 30.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) add varied examples (d) check who is missing
31. 31.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) photos in many lights (d) testing on training data
32. 32.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) turning speech to text (d) making up a story
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
34. 34.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
36. 36.🔍 Which is the odd one out? (a) labels added at random (b) photos in many lights (c) testing on training data (d) wrong labels
37. 37.True or false: “new data for testing” is bad for training a model. (a) True (b) False
38. 38.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) ask it to hurry (d) never do maths
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
40. 40.True or false: “many varied examples” is bad for training a model. (a) False (b) True

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