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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 872 · 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.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  2. 2.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  3. 3.True or false: a map app guessing how long a trip will take is AI recognising something. (a) False (b) True
  4. 4.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
  5. 5.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  6. 6.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  7. 7.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
  8. 8.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI copies data patterns (c) confident means correct (d) AI can make up facts
  9. 9.Which of these is bad for training a model? (a) wrong labels (b) many varied examples (c) examples of every type (d) photos in many lights
  10. 10.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) False (b) True
  11. 11.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  12. 12.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
  13. 13.True or false: “the trained program” is the model. (a) False (b) True
  14. 14.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  15. 15.Which of these is not AI? (a) face unlock on a phone (b) an AI chatbot (c) an app translating signs (d) a kitchen weighing scale
  16. 16.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  17. 17.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  18. 18.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  19. 19.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) photos in many lights (d) copies of one photo
  20. 20.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) never learns from data (d) spots patterns in data
  21. 21.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  22. 22.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
  23. 23.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
  24. 24.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
  25. 25.Which of these describes how AI works? (a) does exactly as coded (b) spots patterns in data (c) never learns from data (d) same steps every time
  26. 26.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) checking labels twice (d) labels added at random
  27. 27.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
  28. 28.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  29. 29.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  30. 30.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  31. 31.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
  32. 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
  33. 33.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
  34. 34.Which of these is not AI? (a) a map predicting traffic (b) an image generator (c) face unlock on a phone (d) a torch
  35. 35.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
  36. 36.True or false: “a soft lullaby melody” asks for an image. (a) True (b) False
  37. 37.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) use one group only (d) add more of the same
  38. 38.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) past weather records (d) tomorrow’s rain guess
  39. 39.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
  40. 40.🔍 Which is the odd one out? (a) AI can make up facts (b) AI has real feelings (c) long answers are true (d) AI always checks facts

Answer key

  1. needs AI (learning)
  2. False
  3. False
  4. True
  5. a normal program
  6. not a real check
  7. learn from data
  8. confident means correct
  9. wrong labels
  10. True
  11. False
  12. artificial intelligence
  13. True
  14. sorts or predicts
  15. a kitchen weighing scale
  16. not AI
  17. a myth
  18. True
  19. photos in many lights
  20. never learns from data
  21. AI
  22. no, it finds patterns
  23. look in your textbook
  24. True
  25. spots patterns in data
  26. labels added at random
  27. False
  28. False
  29. uses AI
  30. AI
  31. True
  32. many labelled photos
  33. better at its task
  34. a torch
  35. True
  36. False
  37. test on many groups
  38. the trained program
  39. bad for training
  40. AI can make up facts

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