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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 452 · 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.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  2. 2.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  3. 3.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  4. 4.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) follows fixed rules (d) makes a best guess
  5. 5.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  6. 6.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
  7. 7.🔍 Which is the odd one out? (a) confident means correct (b) AI answers need checking (c) long answers are true (d) AI knows everything
  8. 8.Which of these is generative AI (it makes something new)? (a) predicting rain (b) writing a new poem (c) sorting photos by face (d) reading number plates
  9. 9.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  10. 10.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
  11. 11.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  12. 12.🔍 Which is the odd one out? (a) a light switch (b) an AI chatbot (c) a digital watch (d) a printed timetable
  13. 13.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
  14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  15. 15.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) very few examples (d) labels added at random
  17. 17.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
  18. 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) making up a story (c) spotting spam (d) writing a new poem
  19. 19.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
  20. 20.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI always checks facts (d) AI can be wrong
  21. 21.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  22. 22.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) gives a likely answer (d) same steps every time
  23. 23.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  25. 25.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  26. 26.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  28. 28.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) text (c) music or sound
  29. 29.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  30. 30.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) check who is missing
  32. 32.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI is never wrong (c) AI answers need checking (d) AI can make up facts
  34. 34.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  35. 35.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  36. 36.True or false: “improves with more data” describes how AI works. (a) False (b) True
  37. 37.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, just like us (c) only on weekends (d) yes, it gets sad
  38. 38.Which of these describes how a normal program works? (a) gives a likely answer (b) spots patterns in data (c) improves with more data (d) does exactly as coded
  39. 39.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) correct labels (d) examples of every type
  40. 40.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) charge faster (d) clean screens

Answer key

  1. no
  2. True
  3. a normal program
  4. follows fixed rules
  5. False
  6. 500 labelled leaf photos
  7. AI answers need checking
  8. writing a new poem
  9. AI
  10. data, model, prediction
  11. more varied data
  12. an AI chatbot
  13. sorts or predicts
  14. balanced data
  15. False
  16. many varied examples
  17. True
  18. spotting spam
  19. False
  20. AI can be wrong
  21. a fact
  22. gives a likely answer
  23. False
  24. reduces bias
  25. needs AI (learning)
  26. bad for training
  27. balanced data
  28. an image
  29. True
  30. False
  31. copy old unfair choices
  32. False
  33. AI is never wrong
  34. to see if it works
  35. good for training
  36. True
  37. no, it finds patterns
  38. does exactly as coded
  39. wrong labels
  40. learn from data

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