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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 253 · 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.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
  2. 2.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) naming a new leaf (d) labelled fruit photos
  3. 3.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
  4. 4.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) uses rules people wrote (d) makes a best guess
  5. 5.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) add more of the same (d) test on many groups
  6. 6.🔍 Which is the odd one out? (a) only one kind of example (b) labels added at random (c) photos in many lights (d) blurry, unclear photos
  7. 7.True or false: “a poster of a rainforest” asks for text. (a) False (b) True
  8. 8.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) predicting (c) generating (d) recommending
  9. 9.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  10. 10.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  11. 11.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) photos in many lights (d) copies of one photo
  12. 12.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  13. 13.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
  14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  16. 16.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a summary (d) a hallucination
  17. 17.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) spotting a sick leaf (c) writing quiz questions (d) predicting rain
  18. 18.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  19. 19.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) check who is missing (d) use one group only
  20. 20.🏷️ 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
  21. 21.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  22. 22.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  23. 23.True or false: “typing a new spoken word” is training data. (a) False (b) True
  24. 24.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) spotting a sick leaf (c) spotting spam (d) predicting rain
  25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  26. 26.Which of these is training data? (a) recorded spoken words (b) the trained program (c) the learned patterns (d) what training builds
  27. 27.🔍 Which is the odd one out? (a) confident means correct (b) AI learns from data (c) AI can make up facts (d) AI can mix up numbers
  28. 28.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting spam (c) spotting a sick leaf (d) sorting photos by face
  29. 29.🔍 Which is the odd one out? (a) inventing a recipe (b) writing a new poem (c) turning speech to text (d) drawing a new picture
  30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) creating a cartoon (c) writing quiz questions (d) drafting a letter
  32. 32.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  33. 33.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  34. 34.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) skip testing (d) ask different people
  36. 36.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
  37. 37.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) past weather records (d) flagging a new email
  38. 38.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
  39. 39.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) artificial intelligence (d) app installer
  40. 40.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False

Answer key

  1. True
  2. naming a new leaf
  3. recommending
  4. uses rules people wrote
  5. test on many groups
  6. photos in many lights
  7. False
  8. generating
  9. uses AI
  10. AI
  11. copies of one photo
  12. not a real check
  13. better at its task
  14. one-sided data
  15. the learned patterns
  16. a hallucination
  17. writing quiz questions
  18. balanced data
  19. use one group only
  20. not spam
  21. True
  22. bad for training
  23. False
  24. writing a new poem
  25. one-sided data
  26. recorded spoken words
  27. confident means correct
  28. drawing a new picture
  29. turning speech to text
  30. reduces bias
  31. spotting spam
  32. makes something new
  33. needs AI (learning)
  34. False
  35. ask different people
  36. uses AI
  37. flagging a new email
  38. a text description
  39. artificial intelligence
  40. False

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