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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 94 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
  2. 2.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  3. 3.Which of these is not AI? (a) an app translating signs (b) an image generator (c) photos grouped by face (d) a stopwatch
  4. 4.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) improves with more data (d) gives a likely answer
  5. 5.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) copies one website (d) asks a person
  6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  7. 7.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
  9. 9.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) share it online (d) stop studying
  10. 10.⏩ 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
  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 a fact about AI? (a) AI always checks facts (b) AI can mix up numbers (c) confident means correct (d) AI has real feelings
  13. 13.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  14. 14.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) your password (d) a text description
  15. 15.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  17. 17.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  18. 18.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
  19. 19.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
  20. 20.Which of these uses AI? (a) a doorbell (b) a fan regulator (c) voice typing (d) a torch
  21. 21.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
  22. 22.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
  23. 23.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
  24. 24.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  25. 25.Which of these is generative AI (it makes something new)? (a) making up a story (b) spotting spam (c) sorting photos by face (d) reading number plates
  26. 26.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  27. 27.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  28. 28.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  29. 29.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) recognising (d) predicting
  30. 30.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) composing a new tune (b) writing a new poem (c) drawing a new picture (d) spotting spam
  32. 32.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
  33. 33.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) test on many groups (d) ask different people
  34. 34.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) add more of the same
  35. 35.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
  36. 36.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  37. 37.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
  38. 38.Which of these uses AI? (a) a digital watch (b) a light switch (c) a stopwatch (d) a map predicting traffic
  39. 39.True or false: “write a poem about the monsoon” asks for text. (a) True (b) False
  40. 40.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact

Answer key

  1. a prediction
  2. needs AI (learning)
  3. a stopwatch
  4. follows fixed rules
  5. predicts likely words
  6. balanced data
  7. False
  8. not spam
  9. trust the textbook
  10. the trained program
  11. reduces bias
  12. AI can mix up numbers
  13. what training builds
  14. a text description
  15. bad for training
  16. not spam
  17. a myth
  18. True
  19. True
  20. voice typing
  21. False
  22. the right answer tag
  23. True
  24. False
  25. making up a story
  26. AI
  27. True
  28. uses AI
  29. generating
  30. True
  31. spotting spam
  32. needs AI (learning)
  33. ignore complaints
  34. add more of the same
  35. labelled fruit photos
  36. good for training
  37. learn from data
  38. a map predicting traffic
  39. True
  40. a myth

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