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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 176 · 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) ask different people (b) test on many groups (c) use one group only (d) add varied examples
  2. 2.🔍 Which is the odd one out? (a) video suggestions (b) face unlock on a phone (c) a doorbell (d) an AI chatbot
  3. 3.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) very few examples (d) checking labels twice
  4. 4.🔍 Which is the odd one out? (a) a spam filter (b) an app translating signs (c) a printed timetable (d) voice typing
  5. 5.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  6. 6.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  7. 7.Which of these is good for training a model? (a) clear, sharp examples (b) labels added at random (c) copies of one photo (d) wrong labels
  8. 8.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  9. 9.Which of these is the model? (a) naming a new leaf (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
  10. 10.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) copy old unfair choices (d) skip testing
  12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  13. 13.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
  14. 14.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) labels added at random (d) clear, sharp examples
  15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  16. 16.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
  17. 17.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a backup (d) a password
  18. 18.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  19. 19.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
  20. 20.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
  21. 21.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  22. 22.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  23. 23.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
  24. 24.True or false: “skip testing” adds to bias. (a) True (b) False
  25. 25.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  26. 26.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  27. 27.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI has real feelings (c) AI always checks facts (d) AI is never wrong
  28. 28.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) singing (d) sleeping
  29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  30. 30.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
  32. 32.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) voice typing (d) a spam filter
  33. 33.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  34. 34.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  36. 36.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  38. 38.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  39. 39.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  40. 40.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data

Answer key

  1. use one group only
  2. a doorbell
  3. very few examples
  4. a printed timetable
  5. a normal program
  6. True
  7. clear, sharp examples
  8. sorts or predicts
  9. the trained program
  10. False
  11. test on many groups
  12. training data
  13. True
  14. labels added at random
  15. a prediction
  16. True
  17. a hallucination
  18. sorts or predicts
  19. no, it follows rules
  20. True
  21. more varied data
  22. a normal program
  23. not a real check
  24. True
  25. adds to bias
  26. a real check
  27. AI copies data patterns
  28. predicting
  29. a prediction
  30. True
  31. past weather records
  32. a basic calculator
  33. a simple rule is enough
  34. a real check
  35. a prediction
  36. False
  37. spam
  38. uses AI
  39. True
  40. balanced data

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