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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 301 · 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 of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) AI learns from data (d) confident means correct
  2. 2.True or false: “learns from examples” describes how AI works. (a) True (b) False
  3. 3.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
  4. 4.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  5. 5.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) learns from examples (d) uses rules people wrote
  6. 6.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
  7. 7.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
  8. 8.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
  9. 9.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  10. 10.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) charging (d) cooking
  11. 11.Which of these is good for training a model? (a) examples of every type (b) very few examples (c) wrong labels (d) only one kind of example
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  13. 13.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  14. 14.Which of these is generative AI (it makes something new)? (a) spotting spam (b) inventing a recipe (c) sorting photos by face (d) spotting a sick leaf
  15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  16. 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  17. 17.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
  18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  19. 19.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) ask it to hurry (c) never do maths (d) check it on paper
  20. 20.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) sorting photos by face (d) drawing a new picture
  21. 21.True or false: an AI tool making a brand-new tune is AI predicting something. (a) True (b) False
  22. 22.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
  23. 23.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  24. 24.Which of these uses AI? (a) a calculator (b) a printed timetable (c) a light switch (d) voice typing
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  26. 26.Which of these describes how a normal program works? (a) learns from examples (b) follows fixed rules (c) improves with more data (d) makes a best guess
  27. 27.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
  28. 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
  29. 29.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI answers need checking (c) AI is never wrong (d) AI learns from data
  30. 30.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
  31. 31.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  33. 33.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
  34. 34.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  35. 35.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
  36. 36.Which of these describes how a normal program works? (a) one set rule per case (b) improves with more data (c) makes a best guess (d) spots patterns in data
  37. 37.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ignore complaints (d) test on many groups
  38. 38.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  39. 39.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the textbook (c) trust the AI (d) stop studying
  40. 40.🔍 Which is the odd one out? (a) a digital watch (b) a torch (c) a spam filter (d) a printed timetable

Answer key

  1. AI learns from data
  2. True
  3. False
  4. True
  5. learns from examples
  6. text
  7. no, it follows rules
  8. it learns patterns
  9. sorts or predicts
  10. recommending
  11. examples of every type
  12. its training data
  13. makes something new
  14. inventing a recipe
  15. training data
  16. True
  17. sorts or predicts
  18. spam
  19. check it on paper
  20. drawing a new picture
  21. False
  22. bad for training
  23. a real check
  24. voice typing
  25. not spam
  26. follows fixed rules
  27. an image
  28. few child voices in data
  29. AI is never wrong
  30. the learned patterns
  31. adds to bias
  32. the learned patterns
  33. False
  34. a normal program
  35. an image
  36. one set rule per case
  37. test on many groups
  38. balanced data
  39. trust the textbook
  40. a spam filter

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