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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 57 · 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.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  2. 2.🔍 Which is the odd one out? (a) making up a story (b) spotting spam (c) spotting a sick leaf (d) unlocking with a face
  3. 3.🏷️ 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
  4. 4.🔍 Which is the odd one out? (a) AI can be wrong (b) AI learns from data (c) AI always checks facts (d) AI copies data patterns
  5. 5.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
  8. 8.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI can mix up numbers (d) AI has real feelings
  9. 9.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
  10. 10.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
  11. 11.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
  12. 12.🧮 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
  13. 13.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  14. 14.True or false: “test on many groups” adds to bias. (a) True (b) False
  15. 15.Which of these helps reduce bias? (a) skip testing (b) fix wrong labels (c) ignore complaints (d) copy old unfair choices
  16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  17. 17.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) test on many groups (d) ignore complaints
  18. 18.True or false: “use one group only” adds to bias. (a) True (b) False
  19. 19.True or false: “add more of the same” adds to bias. (a) False (b) True
  20. 20.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) follows fixed rules (d) makes a best guess
  21. 21.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) recommending (c) predicting (d) generating
  22. 22.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  23. 23.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) fix wrong labels (d) add varied examples
  24. 24.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  26. 26.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
  27. 27.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
  28. 28.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  29. 29.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
  30. 30.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
  31. 31.Which of these uses AI? (a) photos grouped by face (b) a fan regulator (c) a calculator (d) a stopwatch
  32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
  34. 34.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  35. 35.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
  36. 36.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  37. 37.🔍 Which is the odd one out? (a) face unlock on a phone (b) a voice assistant (c) a spam filter (d) a kitchen weighing scale
  38. 38.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  39. 39.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  40. 40.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True

Answer key

  1. a myth
  2. making up a story
  3. not spam
  4. AI always checks facts
  5. a fact
  6. balanced data
  7. few child voices in data
  8. AI can mix up numbers
  9. a basic calculator
  10. music or sound
  11. False
  12. no, it follows rules
  13. its training data
  14. False
  15. fix wrong labels
  16. a prediction
  17. ignore complaints
  18. True
  19. True
  20. makes a best guess
  21. predicting
  22. AI
  23. test on one group only
  24. a normal program
  25. a prediction
  26. predicts likely words
  27. True
  28. needs AI (learning)
  29. predicting
  30. bad for training
  31. photos grouped by face
  32. the model
  33. bias from data
  34. not AI
  35. learn from data
  36. False
  37. a kitchen weighing scale
  38. a real check
  39. good for training
  40. False

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