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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 832 · 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: “naming a new leaf” is training data. (a) True (b) False
  2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  4. 4.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  5. 5.Which of these uses AI? (a) a kitchen weighing scale (b) a fan regulator (c) face unlock on a phone (d) a microwave timer
  6. 6.True or false: “one set rule per case” describes how AI works. (a) False (b) True
  7. 7.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
  8. 8.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
  9. 9.True or false: “a poster of a rainforest” asks for an image. (a) False (b) True
  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 handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  12. 12.Which of these is a myth about AI? (a) AI answers need checking (b) AI learns from data (c) AI can be wrong (d) AI knows everything
  13. 13.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) flagging a new email
  14. 14.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  15. 15.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recognising (c) recommending (d) predicting
  16. 16.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) clear, sharp examples (d) blurry, unclear photos
  17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
  18. 18.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
  19. 19.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
  20. 20.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) test on many groups (d) ignore complaints
  21. 21.🔍 Which is the odd one out? (a) video suggestions (b) a light switch (c) an image generator (d) a map predicting traffic
  22. 22.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  23. 23.Which of these is a fact about AI? (a) AI learns from data (b) AI always checks facts (c) AI has real feelings (d) confident means correct
  24. 24.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  25. 25.True or false: “old emails marked spam” is training data. (a) True (b) False
  26. 26.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
  27. 27.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  28. 28.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) reading number plates (d) creating a cartoon
  29. 29.True or false: “labelled fruit photos” is the model. (a) False (b) True
  30. 30.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
  31. 31.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  32. 32.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
  33. 33.Which of these is not AI? (a) a map predicting traffic (b) face unlock on a phone (c) a digital watch (d) photos grouped by face
  34. 34.Which of these describes how AI works? (a) improves with more data (b) never learns from data (c) uses rules people wrote (d) follows fixed rules
  35. 35.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
  36. 36.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
  37. 37.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  38. 38.Which of these describes how a normal program works? (a) makes a best guess (b) gives a likely answer (c) one set rule per case (d) improves with more data
  39. 39.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  40. 40.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data

Answer key

  1. False
  2. one-sided data
  3. one-sided data
  4. True
  5. face unlock on a phone
  6. False
  7. False
  8. artificial intelligence
  9. True
  10. the learned patterns
  11. False
  12. AI knows everything
  13. flagging a new email
  14. False
  15. recommending
  16. clear, sharp examples
  17. True
  18. True
  19. no, it can be wrong
  20. test on many groups
  21. a light switch
  22. good for training
  23. AI learns from data
  24. adds to bias
  25. True
  26. predicting
  27. needs AI (learning)
  28. creating a cartoon
  29. False
  30. sorts or predicts
  31. sorts or predicts
  32. uses AI
  33. a digital watch
  34. improves with more data
  35. not a real check
  36. better at its task
  37. sorts or predicts
  38. one set rule per case
  39. good for training
  40. learn from data

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