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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 807 · 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 basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think
  2. 2.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  3. 3.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  4. 4.🔍 Which is the odd one out? (a) drawing a new picture (b) suggesting a video (c) writing quiz questions (d) making up a story
  5. 5.Which of these uses AI? (a) video suggestions (b) a printed timetable (c) a calculator (d) a torch
  6. 6.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) ignore complaints (d) add more of the same
  7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  8. 8.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  9. 9.Which of these describes how AI works? (a) follows fixed rules (b) improves with more data (c) one set rule per case (d) never learns from data
  10. 10.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
  11. 11.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  12. 12.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  13. 13.Which of these uses AI? (a) a torch (b) a printed timetable (c) photos grouped by face (d) a calculator
  14. 14.True or false: “improves with more data” describes how AI works. (a) False (b) True
  15. 15.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  16. 16.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) old emails marked spam (d) naming a new fruit photo
  17. 17.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  18. 18.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  19. 19.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  20. 20.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  21. 21.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo
  22. 22.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) balance the data (d) ask different people
  23. 23.True or false: an AI tool making a brand-new tune is AI recognising something. (a) True (b) False
  24. 24.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  25. 25.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) copy old unfair choices (d) ignore complaints
  26. 26.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  27. 27.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
  28. 28.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
  29. 29.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
  30. 30.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  34. 34.Which of these is bad for training a model? (a) wrong labels (b) checking labels twice (c) clear, sharp examples (d) correct labels
  35. 35.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  36. 36.🔍 Which is the odd one out? (a) inventing a recipe (b) drafting a letter (c) drawing a new picture (d) reading number plates
  37. 37.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) does exactly as coded (d) spots patterns in data
  38. 38.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
  39. 39.True or false: “flagging a new email” is training data. (a) False (b) True
  40. 40.True or false: “a story about a brave ant” asks for an image. (a) False (b) True

Answer key

  1. no, it follows rules
  2. not AI
  3. a normal program
  4. suggesting a video
  5. video suggestions
  6. balance the data
  7. training data
  8. good for training
  9. improves with more data
  10. True
  11. what training builds
  12. a fact
  13. photos grouped by face
  14. True
  15. makes something new
  16. old emails marked spam
  17. a simple rule is enough
  18. a basic calculator
  19. a normal program
  20. reduces bias
  21. many labelled photos
  22. add more of the same
  23. False
  24. not a real check
  25. add varied examples
  26. AI
  27. False
  28. check it on paper
  29. no, it can be wrong
  30. False
  31. a prediction
  32. not spam
  33. recorded spoken words
  34. wrong labels
  35. False
  36. reading number plates
  37. does exactly as coded
  38. more varied data
  39. False
  40. False

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