AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 577 · 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.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can be wrong (c) AI has real feelings (d) AI learns from data
2. 2.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
3. 3.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) blurry, unclear photos (d) very few examples
4. 4.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) an app translating signs (b) a fan regulator (c) a kitchen weighing scale (d) a calculator
6. 6.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
7. 7.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
8. 8.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) naming a new fruit photo
9. 9.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) past weather records (d) what training builds
10. 10.🔍 Which is the odd one out? (a) a printed timetable (b) a fan regulator (c) a spam filter (d) a doorbell
11. 11.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, it gets sad (d) yes, just like us
12. 12.Which of these is a myth about AI? (a) AI can be wrong (b) confident means correct (c) AI can make up facts (d) AI answers need checking
13. 13.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
14. 14.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
15. 15.Which of these is a myth about AI? (a) AI can mix up numbers (b) long answers are true (c) AI can be wrong (d) AI can make up facts
16. 16.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
17. 17.Which of these uses AI? (a) a doorbell (b) a kitchen weighing scale (c) a spam filter (d) a printed timetable
18. 18.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI can make up facts (d) confident means correct
19. 19.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) suggesting a video (c) unlocking with a face (d) sorting photos by face
20. 20.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) check who is missing (d) copy old unfair choices
21. 21.Which of these is not AI? (a) a voice assistant (b) a light switch (c) a map predicting traffic (d) an image generator
22. 22.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) check who is missing (d) ignore complaints
23. 23.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) ignore complaints
24. 24.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) many varied examples (d) labels added at random
25. 25.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
26. 26.Which of these describes how a normal program works? (a) spots patterns in data (b) uses rules people wrote (c) handles unseen examples (d) improves with more data
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
28. 28.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the trained program (d) old emails marked spam
29. 29.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
30. 30.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
31. 31.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a hallucination (d) a summary
32. 32.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
34. 34.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
35. 35.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
36. 36.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
37. 37.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
39. 39.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
40. 40.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) copies of one photo (d) new data for testing

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