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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 312 · 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: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
  2. 2.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
  3. 3.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  4. 4.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
  5. 5.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  6. 6.Which of these is not AI? (a) video suggestions (b) a kitchen weighing scale (c) a voice assistant (d) face unlock on a phone
  7. 7.Which of these is a fact about AI? (a) AI can make up facts (b) AI always checks facts (c) AI is never wrong (d) AI has real feelings
  8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
  9. 9.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) past weather records
  10. 10.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  11. 11.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
  12. 12.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) False (b) True
  13. 13.Which of these uses AI? (a) a kitchen weighing scale (b) a torch (c) a calculator (d) an app translating signs
  14. 14.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  15. 15.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
  17. 17.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  18. 18.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  20. 20.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recommending (c) recognising (d) generating
  21. 21.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  22. 22.True or false: “use one group only” adds to bias. (a) False (b) True
  23. 23.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) predicting (d) recommending
  24. 24.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  25. 25.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  26. 26.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) predicts likely words (d) asks a person
  27. 27.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
  28. 28.True or false: “labelled fruit photos” is training data. (a) True (b) False
  29. 29.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  30. 30.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) recognising (c) recommending (d) predicting
  31. 31.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
  32. 32.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  33. 33.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  34. 34.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
  35. 35.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  36. 36.🖼️ 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
  37. 37.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  38. 38.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) stop studying (d) share it online
  39. 39.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
  40. 40.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)

Answer key

  1. True
  2. False
  3. True
  4. False
  5. old emails marked spam
  6. a kitchen weighing scale
  7. AI can make up facts
  8. not spam
  9. tomorrow’s rain guess
  10. a fact
  11. False
  12. True
  13. an app translating signs
  14. needs AI (learning)
  15. needs AI (learning)
  16. a prediction
  17. it learns patterns
  18. True
  19. reduces bias
  20. recognising
  21. adds to bias
  22. True
  23. recommending
  24. True
  25. AI
  26. predicts likely words
  27. True
  28. True
  29. False
  30. generating
  31. True
  32. to see if it works
  33. balanced data
  34. data, model, prediction
  35. False
  36. bias from data
  37. True
  38. trust the textbook
  39. it may get it wrong
  40. a simple rule is enough

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