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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 92 · 40 questions
TalentJR

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.

NameDateTime takenScore ___ / 40
  1. 1.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  2. 2.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
  3. 3.Which of these describes how AI works? (a) same steps every time (b) learns from examples (c) follows fixed rules (d) never learns from data
  4. 4.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
  5. 5.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) copy old unfair choices (d) test on one group only
  6. 6.True or false: “add varied examples” adds to bias. (a) False (b) True
  7. 7.True or false: a book app suggesting a story like your last one is AI predicting something. (a) False (b) True
  8. 8.True or false: “correct labels” is bad for training a model. (a) True (b) False
  9. 9.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a backup (c) a hallucination (d) a password
  10. 10.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) the Moon (d) nobody at all
  11. 11.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) photos in many lights (d) only one kind of example
  12. 12.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
  13. 13.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  14. 14.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
  15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  16. 16.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  17. 17.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) recommending (c) predicting (d) recognising
  18. 18.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
  19. 19.🔍 Which is the odd one out? (a) writing quiz questions (b) making up a story (c) drawing a new picture (d) unlocking with a face
  20. 20.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  21. 21.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) ask it to repeat (d) guess
  22. 22.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
  23. 23.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
  24. 24.Which of these is not AI? (a) video suggestions (b) photos grouped by face (c) a digital watch (d) voice typing
  25. 25.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
  26. 26.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
  27. 27.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
  28. 28.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) skip testing (d) ask different people
  29. 29.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
  30. 30.True or false: “very few examples” is good for training a model. (a) True (b) False
  31. 31.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  32. 32.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
  33. 33.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
  34. 34.Which of these is good for training a model? (a) clear, sharp examples (b) testing on training data (c) very few examples (d) labels added at random
  35. 35.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  37. 37.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  38. 38.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) naming a new leaf (d) past weather records
  39. 39.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
  40. 40.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour

Answer key

  1. a simple rule is enough
  2. no, it follows rules
  3. learns from examples
  4. recommending
  5. balance the data
  6. False
  7. False
  8. False
  9. a hallucination
  10. people
  11. only one kind of example
  12. needs AI (learning)
  13. uses AI
  14. an image
  15. one-sided data
  16. False
  17. recognising
  18. False
  19. unlocking with a face
  20. True
  21. look in your textbook
  22. True
  23. False
  24. a digital watch
  25. False
  26. True
  27. False
  28. skip testing
  29. 500 labelled leaf photos
  30. False
  31. no
  32. False
  33. sorts or predicts
  34. clear, sharp examples
  35. True
  36. False
  37. one-sided data
  38. past weather records
  39. to see if it works
  40. better at its task

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