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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 455 · 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.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
  2. 2.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  3. 3.True or false: “improves with more data” describes how AI works. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) making up a story (b) writing a new poem (c) drawing a new picture (d) spotting a sick leaf
  5. 5.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  6. 6.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  7. 7.🔍 Which is the odd one out? (a) AI knows everything (b) AI always checks facts (c) AI can be wrong (d) long answers are true
  8. 8.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
  9. 9.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ask different people (d) skip testing
  10. 10.Which of these is good for training a model? (a) checking labels twice (b) labels added at random (c) very few examples (d) only one kind of example
  11. 11.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
  12. 12.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
  13. 13.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting a sick leaf (c) composing a new tune (d) spotting spam
  14. 14.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  15. 15.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
  16. 16.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) tomorrow’s rain guess (d) naming a new leaf
  17. 17.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add varied examples (d) ignore complaints
  18. 18.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) follows fixed rules (d) does exactly as coded
  19. 19.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) AI can make up facts (d) AI has real feelings
  20. 20.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  21. 21.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) making up a story (c) suggesting a video (d) spotting a sick leaf
  22. 22.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recommending (d) recognising
  23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  24. 24.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) skip testing (d) add varied examples
  26. 26.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  27. 27.🔍 Which is the odd one out? (a) face unlock on a phone (b) a spam filter (c) a microwave timer (d) photos grouped by face
  28. 28.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  29. 29.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  30. 30.Which of these is a myth about AI? (a) AI learns from data (b) AI can make up facts (c) AI always checks facts (d) AI can mix up numbers
  31. 31.🔍 Which is the odd one out? (a) video suggestions (b) voice typing (c) a kitchen weighing scale (d) an AI chatbot
  32. 32.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  34. 34.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a text description (d) a phone number
  35. 35.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  36. 36.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  37. 37.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
  38. 38.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) spotting spam (b) creating a cartoon (c) writing a new poem (d) composing a new tune
  40. 40.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact

Answer key

  1. artificial intelligence
  2. False
  3. True
  4. spotting a sick leaf
  5. reduces bias
  6. a real check
  7. AI can be wrong
  8. it learns from examples
  9. ask different people
  10. checking labels twice
  11. False
  12. True
  13. composing a new tune
  14. False
  15. False
  16. past weather records
  17. ignore complaints
  18. learns from examples
  19. AI can make up facts
  20. a simple rule is enough
  21. making up a story
  22. recognising
  23. not spam
  24. False
  25. skip testing
  26. a fact
  27. a microwave timer
  28. it learns patterns
  29. a basic calculator
  30. AI always checks facts
  31. a kitchen weighing scale
  32. good for training
  33. True
  34. a text description
  35. False
  36. a simple rule is enough
  37. False
  38. True
  39. spotting spam
  40. a myth

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