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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 774 · 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: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
  2. 2.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
  3. 3.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  4. 4.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) clear, sharp examples (d) labels added at random
  5. 5.True or false: “learns from examples” describes how AI works. (a) False (b) True
  6. 6.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) test on one group only (d) use one group only
  7. 7.🔍 Which is the odd one out? (a) a map predicting traffic (b) a kitchen weighing scale (c) a microwave timer (d) a printed timetable
  8. 8.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  9. 9.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
  10. 10.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  11. 11.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
  12. 12.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
  14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  15. 15.Which of these describes how AI works? (a) does exactly as coded (b) same steps every time (c) never learns from data (d) spots patterns in data
  16. 16.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  17. 17.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  18. 18.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) only stores files (d) charges batteries
  19. 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  20. 20.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) wrong labels (d) only one kind of example
  22. 22.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
  24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  25. 25.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
  26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  27. 27.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
  28. 28.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recommending (b) predicting (c) recognising (d) generating
  29. 29.Which of these is generative AI (it makes something new)? (a) predicting rain (b) sorting photos by face (c) spotting a sick leaf (d) drawing a new picture
  30. 30.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) follows fixed rules (d) learns from examples
  31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  32. 32.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) new data for testing (d) very few examples
  33. 33.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
  34. 34.Which of these is bad for training a model? (a) clear, sharp examples (b) testing on training data (c) correct labels (d) new data for testing
  35. 35.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  37. 37.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) uses rules people wrote (d) learns from examples
  38. 38.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  39. 39.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  40. 40.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False

Answer key

  1. True
  2. no, it can be wrong
  3. a normal program
  4. clear, sharp examples
  5. True
  6. check who is missing
  7. a map predicting traffic
  8. True
  9. True
  10. a normal program
  11. False
  12. False
  13. a prediction
  14. one-sided data
  15. spots patterns in data
  16. False
  17. AI
  18. makes new content
  19. adds to bias
  20. False
  21. correct labels
  22. uses AI
  23. few child voices in data
  24. training data
  25. artificial intelligence
  26. training data
  27. no
  28. generating
  29. drawing a new picture
  30. follows fixed rules
  31. good for training
  32. very few examples
  33. False
  34. testing on training data
  35. uses AI
  36. its training data
  37. learns from examples
  38. makes something new
  39. not a real check
  40. False

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