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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 568 · 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: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
  2. 2.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
  3. 3.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
  4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  5. 5.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
  6. 6.Which of these uses AI? (a) a voice assistant (b) a calculator (c) a kitchen weighing scale (d) a printed timetable
  7. 7.Which of these is a myth about AI? (a) AI always checks facts (b) AI copies data patterns (c) AI answers need checking (d) AI can make up facts
  8. 8.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  9. 9.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  10. 10.Which of these uses AI? (a) a digital watch (b) an image generator (c) a torch (d) a stopwatch
  11. 11.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) new data for testing (d) testing on training data
  12. 12.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) recognising (c) generating (d) recommending
  13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  14. 14.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a password (d) a hallucination
  15. 15.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) recognising (c) generating (d) predicting
  16. 16.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  18. 18.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  19. 19.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) examples of every type (d) testing on training data
  20. 20.Which of these is bad for training a model? (a) new data for testing (b) only one kind of example (c) examples of every type (d) clear, sharp examples
  21. 21.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
  22. 22.True or false: “very few examples” is bad for training a model. (a) True (b) False
  23. 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  24. 24.🔍 Which is the odd one out? (a) a stopwatch (b) a light switch (c) video suggestions (d) a doorbell
  25. 25.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
  26. 26.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recommending (c) predicting (d) recognising
  27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  28. 28.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  29. 29.True or false: “past weather records” is a prediction. (a) False (b) True
  30. 30.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  32. 32.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
  33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  34. 34.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
  35. 35.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) text (c) an image
  36. 36.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
  37. 37.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
  38. 38.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
  39. 39.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) copies of one photo (d) many varied examples
  40. 40.Which of these uses AI? (a) a torch (b) a fan regulator (c) a spam filter (d) a doorbell

Answer key

  1. False
  2. True
  3. True
  4. training data
  5. False
  6. a voice assistant
  7. AI always checks facts
  8. a real check
  9. False
  10. an image generator
  11. testing on training data
  12. generating
  13. a prediction
  14. a hallucination
  15. recognising
  16. AI
  17. True
  18. labelled fruit photos
  19. examples of every type
  20. only one kind of example
  21. no, it follows rules
  22. True
  23. True
  24. video suggestions
  25. True
  26. generating
  27. adds to bias
  28. recorded spoken words
  29. False
  30. True
  31. bias from data
  32. False
  33. reduces bias
  34. a basic calculator
  35. music or sound
  36. better at its task
  37. recommending
  38. learn from data
  39. copies of one photo
  40. a spam filter

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