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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 116 · 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 is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) new data for testing (d) many varied examples
  2. 2.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
  3. 3.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  4. 4.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  5. 5.Which of these uses AI? (a) a stopwatch (b) a digital watch (c) a light switch (d) a map predicting traffic
  6. 6.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a summary (c) a backup (d) a password
  7. 7.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) improves with more data (d) one set rule per case
  8. 8.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  9. 9.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
  10. 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  11. 11.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) recorded spoken words (d) the trained program
  12. 12.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  13. 13.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  14. 14.True or false: a weather app guessing tomorrow’s rain is AI recommending something. (a) False (b) True
  15. 15.True or false: “labelled fruit photos” is the model. (a) True (b) False
  16. 16.True or false: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
  17. 17.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
  18. 18.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) very few examples (d) clear, sharp examples
  19. 19.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  20. 20.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) True (b) False
  21. 21.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  22. 22.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) turning speech to text (d) writing quiz questions
  23. 23.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) new data for testing (d) examples of every type
  24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) add varied examples (d) test on many groups
  25. 25.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  27. 27.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
  28. 28.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recommending (c) predicting (d) recognising
  29. 29.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  30. 30.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) only one kind of example (d) checking labels twice
  31. 31.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) the trained program (d) naming a new leaf
  32. 32.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  33. 33.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  34. 34.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) generating (c) recommending (d) predicting
  35. 35.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  36. 36.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  37. 37.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  38. 38.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
  39. 39.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  40. 40.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False

Answer key

  1. copies of one photo
  2. True
  3. makes something new
  4. a myth
  5. a map predicting traffic
  6. a hallucination
  7. one set rule per case
  8. more varied data
  9. False
  10. past weather records
  11. typing a new spoken word
  12. True
  13. uses AI
  14. False
  15. False
  16. False
  17. data, model, prediction
  18. clear, sharp examples
  19. False
  20. True
  21. a real check
  22. writing quiz questions
  23. copies of one photo
  24. ignore complaints
  25. needs AI (learning)
  26. False
  27. an image
  28. generating
  29. False
  30. checking labels twice
  31. the trained program
  32. what training builds
  33. it learns patterns
  34. recommending
  35. makes something new
  36. not AI
  37. labelled fruit photos
  38. people
  39. needs AI (learning)
  40. True

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