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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 991 · 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 bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  2. 2.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  3. 3.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recognising (b) generating (c) recommending (d) predicting
  4. 4.Which of these is training data? (a) flagging a new email (b) what training builds (c) recorded spoken words (d) naming a new leaf
  5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  6. 6.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  8. 8.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  9. 9.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  10. 10.Which of these describes how AI works? (a) never learns from data (b) improves with more data (c) uses rules people wrote (d) does exactly as coded
  11. 11.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  12. 12.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  13. 13.True or false: “write a poem about the monsoon” asks for music or sound. (a) True (b) False
  14. 14.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
  15. 15.Which of these uses AI? (a) a voice assistant (b) a fan regulator (c) a torch (d) a digital watch
  16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) predicting rain (c) inventing a recipe (d) writing a new poem
  17. 17.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) spotting spam (c) spotting a sick leaf (d) sorting photos by face
  18. 18.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) predicting (c) recognising (d) generating
  19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  20. 20.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  21. 21.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) turning speech to text (c) inventing a recipe (d) writing a new poem
  23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  24. 24.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) an image (c) music or sound
  25. 25.Which of these is not AI? (a) face unlock on a phone (b) a voice assistant (c) an image generator (d) a calculator
  26. 26.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  27. 27.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
  28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) creating a cartoon (c) writing quiz questions (d) writing a new poem
  29. 29.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can make up facts (c) long answers are true (d) AI is never wrong
  30. 30.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
  31. 31.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) gives a likely answer (d) never learns from data
  32. 32.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
  33. 33.True or false: “one set rule per case” describes how AI works. (a) False (b) True
  34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  35. 35.True or false: “examples of every type” is good for training a model. (a) False (b) True
  36. 36.Which of these is not AI? (a) voice typing (b) a spam filter (c) a kitchen weighing scale (d) an AI chatbot
  37. 37.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  38. 38.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a hallucination (d) a backup
  39. 39.True or false: “recorded spoken words” is training data. (a) True (b) False
  40. 40.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) only on weekends (d) yes, just like us

Answer key

  1. needs AI (learning)
  2. not a real check
  3. generating
  4. recorded spoken words
  5. bias from data
  6. False
  7. spam
  8. True
  9. reduces bias
  10. improves with more data
  11. it learns patterns
  12. needs AI (learning)
  13. False
  14. text
  15. a voice assistant
  16. predicting rain
  17. drafting a letter
  18. recognising
  19. training data
  20. data, model, prediction
  21. a normal program
  22. turning speech to text
  23. the trained program
  24. text
  25. a calculator
  26. a fact
  27. False
  28. suggesting a video
  29. AI can make up facts
  30. an image
  31. gives a likely answer
  32. False
  33. False
  34. a prediction
  35. True
  36. a kitchen weighing scale
  37. False
  38. a hallucination
  39. True
  40. no, it finds patterns

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