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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 327 · 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 is the odd one out? (a) many varied examples (b) new data for testing (c) copies of one photo (d) photos in many lights
  2. 2.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
  3. 3.True or false: “labels added at random” is good for training a model. (a) False (b) True
  4. 4.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  5. 5.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
  6. 6.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  7. 7.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
  9. 9.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  10. 10.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  11. 11.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) long answers are true (d) AI can be wrong
  12. 12.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) charging (d) recommending
  13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  14. 14.Which of these is a myth about AI? (a) AI answers need checking (b) AI has real feelings (c) AI can make up facts (d) AI copies data patterns
  15. 15.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) face unlock (d) a spam filter
  16. 16.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) correct labels (d) new data for testing
  17. 17.True or false: “many varied examples” is good for training a model. (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  19. 19.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
  20. 20.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  22. 22.🔍 Which is the odd one out? (a) a printed timetable (b) an image generator (c) a fan regulator (d) a doorbell
  23. 23.True or false: “only one kind of example” is good for training a model. (a) False (b) True
  24. 24.🎨 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
  25. 25.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
  26. 26.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  27. 27.True or false: “improves with more data” describes how AI works. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  29. 29.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
  30. 30.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  31. 31.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  32. 32.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
  33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  34. 34.Which of these describes how a normal program works? (a) same steps every time (b) handles unseen examples (c) spots patterns in data (d) makes a best guess
  35. 35.Which of these describes how a normal program works? (a) gives a likely answer (b) spots patterns in data (c) one set rule per case (d) handles unseen examples
  36. 36.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  37. 37.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  38. 38.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  39. 39.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  40. 40.📅 An AI gives a date for a history event. How can you check? (a) guess (b) look in your textbook (c) ask it to repeat (d) pick a lucky number

Answer key

  1. copies of one photo
  2. the right answer tag
  3. False
  4. adds to bias
  5. True
  6. it learns patterns
  7. True
  8. a prediction
  9. needs AI (learning)
  10. needs AI (learning)
  11. long answers are true
  12. recommending
  13. few child voices in data
  14. AI has real feelings
  15. a basic calculator
  16. wrong labels
  17. True
  18. one-sided data
  19. True
  20. a normal program
  21. spam
  22. an image generator
  23. False
  24. music or sound
  25. True
  26. a fact
  27. True
  28. training data
  29. predicts likely words
  30. False
  31. AI
  32. True
  33. not spam
  34. same steps every time
  35. one set rule per case
  36. data, model, prediction
  37. makes something new
  38. a simple rule is enough
  39. not AI
  40. look in your textbook

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