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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 197 · 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: “makes a best guess” describes how AI works. (a) True (b) False
  2. 2.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
  3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
  4. 4.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) does exactly as coded (d) makes a best guess
  5. 5.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  6. 6.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
  7. 7.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) music or sound (c) text
  8. 8.True or false: “a cartoon of a dancing elephant” asks for text. (a) False (b) True
  9. 9.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
  10. 10.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  11. 11.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  13. 13.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
  14. 14.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) predicting (c) recommending (d) generating
  15. 15.🔍 Which is the odd one out? (a) AI can make up facts (b) AI is never wrong (c) AI always checks facts (d) long answers are true
  16. 16.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  17. 17.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
  18. 18.True or false: “it uses big words” is a real way to check an AI answer. (a) False (b) True
  19. 19.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  20. 20.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  21. 21.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) unlocking with a face (d) writing quiz questions
  22. 22.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
  23. 23.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  24. 24.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  25. 25.🔍 Which is the odd one out? (a) spotting a sick leaf (b) suggesting a video (c) drawing a new picture (d) predicting rain
  26. 26.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
  27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  28. 28.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  29. 29.🔍 Which is the odd one out? (a) AI has real feelings (b) AI knows everything (c) AI always checks facts (d) AI can be wrong
  30. 30.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) wrong labels (d) copies of one photo
  31. 31.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) testing on training data (d) many varied examples
  32. 32.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) clear, sharp examples (d) very few examples
  33. 33.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) suggesting a video (c) inventing a recipe (d) predicting rain
  34. 34.🔍 Which is the odd one out? (a) AI always checks facts (b) AI has real feelings (c) AI learns from data (d) AI is never wrong
  35. 35.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  36. 36.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
  37. 37.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) ignore complaints (d) copy old unfair choices
  38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
  39. 39.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
  40. 40.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough

Answer key

  1. True
  2. a basic calculator
  3. a prediction
  4. does exactly as coded
  5. a real check
  6. True
  7. an image
  8. False
  9. True
  10. sorts or predicts
  11. True
  12. one-sided data
  13. text
  14. recognising
  15. AI can make up facts
  16. uses AI
  17. it may get it wrong
  18. False
  19. good for training
  20. sorts or predicts
  21. unlocking with a face
  22. no
  23. True
  24. sorts or predicts
  25. drawing a new picture
  26. False
  27. the model
  28. AI
  29. AI can be wrong
  30. correct labels
  31. testing on training data
  32. very few examples
  33. inventing a recipe
  34. AI learns from data
  35. a normal program
  36. False
  37. balance the data
  38. False
  39. False
  40. a simple rule is enough

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