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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 713 · 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: “same steps every time” describes how AI works. (a) False (b) True
  2. 2.Which of these is bad for training a model? (a) testing on training data (b) checking labels twice (c) many varied examples (d) new data for testing
  3. 3.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  4. 4.🔍 Which is the odd one out? (a) a printed timetable (b) a voice assistant (c) video suggestions (d) a spam filter
  5. 5.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  6. 6.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) past weather records (d) 500 labelled leaf photos
  7. 7.True or false: “examples of every type” is bad for training a model. (a) True (b) False
  8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
  9. 9.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  10. 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  11. 11.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
  12. 12.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) add more of the same (d) use one group only
  13. 13.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  14. 14.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  15. 15.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
  16. 16.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
  17. 17.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
  18. 18.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  19. 19.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  20. 20.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  21. 21.Which of these uses AI? (a) a calculator (b) an app translating signs (c) a kitchen weighing scale (d) a stopwatch
  22. 22.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  23. 23.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) slower to switch on (d) forget everything
  24. 24.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
  25. 25.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) improves with more data (d) does exactly as coded
  26. 26.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
  27. 27.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) examples of every type (d) copies of one photo
  28. 28.💬 What do we call the request you type to a generative AI? (a) a password (b) a prompt (c) a label (d) a battery
  29. 29.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  30. 30.Which of these is a myth about AI? (a) AI can make up facts (b) AI knows everything (c) AI copies data patterns (d) AI learns from data
  31. 31.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) never learns from data (d) handles unseen examples
  32. 32.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) spotting spam (c) suggesting a video (d) spotting a sick leaf
  33. 33.Which of these uses AI? (a) a light switch (b) a voice assistant (c) a stopwatch (d) a calculator
  34. 34.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  35. 35.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  36. 36.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  38. 38.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  39. 39.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  40. 40.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program

Answer key

  1. False
  2. testing on training data
  3. a simple rule is enough
  4. a printed timetable
  5. data, model, prediction
  6. the learned patterns
  7. False
  8. bias from data
  9. good for training
  10. past weather records
  11. recommending
  12. add varied examples
  13. good for training
  14. False
  15. True
  16. learn from data
  17. True
  18. False
  19. the learned patterns
  20. True
  21. an app translating signs
  22. False
  23. better at its task
  24. an image
  25. improves with more data
  26. False
  27. copies of one photo
  28. a prompt
  29. a normal program
  30. AI knows everything
  31. handles unseen examples
  32. creating a cartoon
  33. a voice assistant
  34. a real check
  35. AI
  36. a myth
  37. training data
  38. one-sided data
  39. makes something new
  40. AI

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