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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 876 · 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 is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) predicting (c) generating (d) recommending
  2. 2.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) music or sound (c) an image
  3. 3.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
  4. 4.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a label (d) a battery
  5. 5.Which of these is the model? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) tomorrow’s rain guess
  6. 6.🔍 Which is the odd one out? (a) a calculator (b) a digital watch (c) video suggestions (d) a microwave timer
  7. 7.True or false: “correct labels” is good for training a model. (a) False (b) True
  8. 8.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) wrong labels (d) examples of every type
  9. 9.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
  10. 10.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  11. 11.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) True (b) False
  12. 12.Which of these describes how a normal program works? (a) makes a best guess (b) gives a likely answer (c) follows fixed rules (d) spots patterns in data
  13. 13.🥭 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
  14. 14.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) ignore complaints (d) test on one group only
  15. 15.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) predicts likely words (d) uses magic
  16. 16.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) drawing (d) predicting
  17. 17.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
  18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  19. 19.True or false: “labels added at random” is bad for training a model. (a) False (b) True
  20. 20.Which of these is generative AI (it makes something new)? (a) making up a story (b) sorting photos by face (c) spotting a sick leaf (d) unlocking with a face
  21. 21.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
  22. 22.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) makes new content (d) charges batteries
  23. 23.True or false: “what training builds” is the model. (a) False (b) True
  24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  25. 25.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
  26. 26.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  27. 27.🔍 Which is the odd one out? (a) photos grouped by face (b) a printed timetable (c) an AI chatbot (d) voice typing
  28. 28.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  29. 29.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) unlocking with a face (c) suggesting a video (d) writing quiz questions
  30. 30.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
  31. 31.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) generating (c) recognising (d) recommending
  32. 32.True or false: “labels added at random” is good for training a model. (a) False (b) True
  33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  34. 34.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) copies of one photo (b) new data for testing (c) clear, sharp examples (d) many varied examples
  36. 36.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
  37. 37.🔍 Which is the odd one out? (a) video suggestions (b) an image generator (c) an app translating signs (d) a kitchen weighing scale
  38. 38.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  39. 39.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) improves with more data (d) follows fixed rules
  40. 40.True or false: “many varied examples” is good for training a model. (a) False (b) True

Answer key

  1. generating
  2. music or sound
  3. no, it follows rules
  4. a prompt
  5. the trained program
  6. video suggestions
  7. True
  8. examples of every type
  9. True
  10. the learned patterns
  11. True
  12. follows fixed rules
  13. it may get it wrong
  14. fix wrong labels
  15. predicts likely words
  16. predicting
  17. more varied data
  18. the model
  19. True
  20. making up a story
  21. few child voices in data
  22. makes new content
  23. True
  24. the learned patterns
  25. False
  26. True
  27. a printed timetable
  28. a real check
  29. writing quiz questions
  30. naming a new fruit photo
  31. generating
  32. False
  33. the trained program
  34. False
  35. copies of one photo
  36. not a real check
  37. a kitchen weighing scale
  38. sorts or predicts
  39. improves with more data
  40. True

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