AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 756 · 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) training data (b) a prediction (c) the model
2. 2.🔍 Which is the odd one out? (a) reading number plates (b) composing a new tune (c) writing a new poem (d) writing quiz questions
3. 3.🏷️ 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
4. 4.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) labelled fruit photos (d) past weather records
5. 5.True or false: “wrong labels” is bad for training a model. (a) False (b) True
6. 6.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
7. 7.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
8. 8.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) wrong labels (d) correct labels
9. 9.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) learns from examples (d) uses rules people wrote
10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
11. 11.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
13. 13.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
14. 14.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
15. 15.Which of these describes how a normal program works? (a) makes a best guess (b) uses rules people wrote (c) improves with more data (d) spots patterns in data
16. 16.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
17. 17.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) True (b) False
18. 18.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
19. 19.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) predicting (c) generating (d) recognising
20. 20.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a hallucination (d) a password
21. 21.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) an AI chatbot (b) voice typing (c) a digital watch (d) photos grouped by face
23. 23.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) labelled fruit photos (d) recorded spoken words
24. 24.🔍 Which is the odd one out? (a) long answers are true (b) AI always checks facts (c) AI has real feelings (d) AI copies data patterns
25. 25.🔍 Which is the odd one out? (a) AI is never wrong (b) AI always checks facts (c) AI learns from data (d) AI knows everything
26. 26.Which of these is good for training a model? (a) wrong labels (b) many varied examples (c) testing on training data (d) labels added at random
27. 27.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
28. 28.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) sorting photos by face (d) writing quiz questions
29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
30. 30.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
31. 31.🔍 Which is the odd one out? (a) a printed timetable (b) a map predicting traffic (c) voice typing (d) face unlock on a phone
32. 32.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) 500 labelled leaf photos (d) the trained program
33. 33.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) improves with more data (d) uses rules people wrote
34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
35. 35.Which of these is not AI? (a) an image generator (b) a torch (c) a map predicting traffic (d) photos grouped by face
36. 36.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
38. 38.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add varied examples (d) check who is missing
39. 39.Which of these is a myth about AI? (a) AI always checks facts (b) AI learns from data (c) AI can mix up numbers (d) AI answers need checking
40. 40.🏠 AI or not AI: a torch? (a) uses AI (b) not AI

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