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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 851 · 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: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
  2. 2.Which of these uses AI? (a) face unlock on a phone (b) a torch (c) a light switch (d) a kitchen weighing scale
  3. 3.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  4. 4.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
  5. 5.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  6. 6.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
  7. 7.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  8. 8.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  9. 9.Which of these describes how AI works? (a) learns from examples (b) same steps every time (c) does exactly as coded (d) follows fixed rules
  10. 10.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
  11. 11.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  12. 12.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  13. 13.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
  14. 14.🔍 Which is the odd one out? (a) sorting photos by face (b) suggesting a video (c) unlocking with a face (d) drafting a letter
  15. 15.Which of these describes how AI works? (a) makes a best guess (b) does exactly as coded (c) same steps every time (d) one set rule per case
  16. 16.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) learns from examples (d) uses rules people wrote
  17. 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  18. 18.🔍 Which is the odd one out? (a) spotting spam (b) making up a story (c) predicting rain (d) suggesting a video
  19. 19.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  21. 21.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) spotting a sick leaf (d) unlocking with a face
  22. 22.Which of these describes how a normal program works? (a) follows fixed rules (b) improves with more data (c) spots patterns in data (d) gives a likely answer
  23. 23.True or false: “the trained program” is training data. (a) True (b) False
  24. 24.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
  25. 25.🔍 Which is the odd one out? (a) a digital watch (b) an AI chatbot (c) a calculator (d) a printed timetable
  26. 26.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) correct labels (d) testing on training data
  27. 27.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  28. 28.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) skip testing (d) add more of the same
  29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) balance the data (d) ask different people
  30. 30.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  31. 31.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) generating (c) predicting (d) recognising
  32. 32.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  34. 34.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) unlocking with a face (c) making up a story (d) drafting a letter
  36. 36.Which of these is a prediction? (a) past weather records (b) what training builds (c) the trained program (d) typing a new spoken word
  37. 37.Which of these is generative AI (it makes something new)? (a) predicting rain (b) drawing a new picture (c) reading number plates (d) unlocking with a face
  38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
  39. 39.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
  40. 40.Which of these is not AI? (a) an AI chatbot (b) an image generator (c) a voice assistant (d) a stopwatch

Answer key

  1. a simple rule is enough
  2. face unlock on a phone
  3. a myth
  4. no, it finds patterns
  5. a simple rule is enough
  6. recommending
  7. True
  8. a myth
  9. learns from examples
  10. no, it can be wrong
  11. makes something new
  12. it learns patterns
  13. trust the textbook
  14. drafting a letter
  15. makes a best guess
  16. uses rules people wrote
  17. more varied data
  18. making up a story
  19. True
  20. bias from data
  21. writing a new poem
  22. follows fixed rules
  23. False
  24. artificial intelligence
  25. an AI chatbot
  26. testing on training data
  27. False
  28. check who is missing
  29. add more of the same
  30. False
  31. recognising
  32. True
  33. data, model, prediction
  34. True
  35. unlocking with a face
  36. typing a new spoken word
  37. drawing a new picture
  38. a prediction
  39. True
  40. a stopwatch

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