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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 334 · 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: “ignore complaints” helps reduce bias. (a) True (b) False
  2. 2.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) predicting (c) recommending (d) generating
  3. 3.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  4. 4.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
  5. 5.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it uses electricity (d) it has a screen
  6. 6.True or false: “old emails marked spam” is training data. (a) False (b) True
  7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  8. 8.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) predicting (c) recognising (d) generating
  9. 9.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  10. 10.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) artificial intelligence (d) actual information
  11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  12. 12.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) naming a new fruit photo
  13. 13.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
  14. 14.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) True (b) False
  15. 15.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
  16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  17. 17.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) generating (c) recommending (d) recognising
  18. 18.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  19. 19.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  20. 20.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  21. 21.🔍 Which is the odd one out? (a) an app translating signs (b) a light switch (c) a microwave timer (d) a fan regulator
  22. 22.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) skip testing (d) fix wrong labels
  23. 23.True or false: “many varied examples” is bad for training a model. (a) False (b) True
  24. 24.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  25. 25.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recommending (c) recognising (d) predicting
  26. 26.True or false: “write a poem about the monsoon” asks for text. (a) True (b) False
  27. 27.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
  28. 28.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) past weather records (d) labelled fruit photos
  31. 31.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
  32. 32.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  33. 33.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
  34. 34.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  35. 35.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  36. 36.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
  37. 37.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
  38. 38.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  39. 39.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
  40. 40.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True

Answer key

  1. False
  2. generating
  3. a simple rule is enough
  4. True
  5. it learns from examples
  6. True
  7. False
  8. recognising
  9. a fact
  10. artificial intelligence
  11. reduces bias
  12. what training builds
  13. a text description
  14. False
  15. recommending
  16. a prediction
  17. generating
  18. AI
  19. one-sided data
  20. a real check
  21. an app translating signs
  22. fix wrong labels
  23. False
  24. good for training
  25. predicting
  26. True
  27. sorts or predicts
  28. no, it can be wrong
  29. few child voices in data
  30. tomorrow’s rain guess
  31. good for training
  32. False
  33. sorts or predicts
  34. True
  35. makes something new
  36. uses AI
  37. False
  38. a fact
  39. its training data
  40. False

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