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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 486 · 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: “many varied examples” is bad for training a model. (a) False (b) True
  2. 2.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  3. 3.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  4. 4.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
  5. 5.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  6. 6.Which of these is bad for training a model? (a) examples of every type (b) photos in many lights (c) labels added at random (d) checking labels twice
  7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  8. 8.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) spotting spam (c) predicting rain (d) making up a story
  9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  10. 10.True or false: “labels added at random” is good for training a model. (a) True (b) False
  11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) drafting a letter (c) making up a story (d) inventing a recipe
  12. 12.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
  13. 13.Which of these describes how AI works? (a) follows fixed rules (b) learns from examples (c) same steps every time (d) does exactly as coded
  14. 14.True or false: “ask different people” helps reduce bias. (a) True (b) False
  15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
  16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) creating a cartoon (c) writing quiz questions (d) suggesting a video
  17. 17.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) people (d) the weather
  18. 18.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can be wrong (c) AI always checks facts (d) AI learns from data
  19. 19.🔍 Which is the odd one out? (a) unlocking with a face (b) composing a new tune (c) turning speech to text (d) spotting spam
  20. 20.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
  22. 22.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  23. 23.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  24. 24.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  25. 25.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) very few examples (d) photos in many lights
  26. 26.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
  27. 27.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
  28. 28.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  29. 29.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  30. 30.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  31. 31.Which of these is good for training a model? (a) photos in many lights (b) blurry, unclear photos (c) only one kind of example (d) copies of one photo
  32. 32.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  33. 33.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
  34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  35. 35.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) does exactly as coded (d) handles unseen examples
  36. 36.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  37. 37.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  39. 39.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  40. 40.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True

Answer key

  1. False
  2. not AI
  3. a fact
  4. True
  5. good for training
  6. labels added at random
  7. one-sided data
  8. making up a story
  9. a prediction
  10. False
  11. sorting photos by face
  12. a basic calculator
  13. learns from examples
  14. True
  15. a prediction
  16. suggesting a video
  17. people
  18. AI always checks facts
  19. composing a new tune
  20. not AI
  21. bias from data
  22. the trained program
  23. past weather records
  24. a myth
  25. photos in many lights
  26. a prompt
  27. bad for training
  28. a myth
  29. False
  30. False
  31. photos in many lights
  32. good for training
  33. True
  34. spam
  35. handles unseen examples
  36. reduces bias
  37. not a real check
  38. training data
  39. True
  40. True

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