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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 968 · 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: “does exactly as coded” describes how AI works. (a) False (b) True
  2. 2.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  3. 3.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  4. 4.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  5. 5.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  6. 6.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a prompt (d) a label
  7. 7.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
  8. 8.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) makes new content (d) charges batteries
  9. 9.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  11. 11.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  12. 12.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
  14. 14.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
  15. 15.Which of these uses AI? (a) a torch (b) photos grouped by face (c) a calculator (d) a digital watch
  16. 16.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  17. 17.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it uses electricity (d) it is always right
  18. 18.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
  19. 19.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  20. 20.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
  21. 21.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
  22. 22.🔍 Which is the odd one out? (a) a calculator (b) a printed timetable (c) a spam filter (d) a microwave timer
  23. 23.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
  24. 24.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  25. 25.True or false: “the learned patterns” is a prediction. (a) False (b) True
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
  27. 27.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
  28. 28.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) skip testing (d) add varied examples
  29. 29.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) an image (c) text
  30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  31. 31.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
  32. 32.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  33. 33.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can make up facts (c) AI can be wrong (d) AI learns from data
  34. 34.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) cooking (d) printing
  35. 35.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
  36. 36.Which of these adds to bias? (a) ask different people (b) test on one group only (c) test on many groups (d) check who is missing
  37. 37.🔍 Which is the odd one out? (a) inventing a recipe (b) suggesting a video (c) drafting a letter (d) writing a new poem
  38. 38.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  39. 39.True or false: “many varied examples” is bad for training a model. (a) False (b) True
  40. 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password

Answer key

  1. False
  2. it learns patterns
  3. recorded spoken words
  4. False
  5. a normal program
  6. a prompt
  7. the right answer tag
  8. makes new content
  9. False
  10. spam
  11. a simple rule is enough
  12. needs AI (learning)
  13. many labelled photos
  14. False
  15. photos grouped by face
  16. makes something new
  17. it learns from examples
  18. True
  19. False
  20. learn from data
  21. True
  22. a spam filter
  23. True
  24. False
  25. False
  26. not spam
  27. False
  28. add varied examples
  29. music or sound
  30. training data
  31. no, it follows rules
  32. old emails marked spam
  33. AI is never wrong
  34. recommending
  35. False
  36. test on one group only
  37. suggesting a video
  38. a real check
  39. False
  40. a prediction

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