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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 31 · 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.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
  2. 2.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) recommending (d) printing
  3. 3.🔍 Which is the odd one out? (a) video suggestions (b) a stopwatch (c) a microwave timer (d) a calculator
  4. 4.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
  5. 5.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) many varied examples (d) new data for testing
  6. 6.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) use one group only (d) ask different people
  7. 7.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) check who is missing (d) fix wrong labels
  8. 8.🔍 Which is the odd one out? (a) blurry, unclear photos (b) checking labels twice (c) only one kind of example (d) very few examples
  9. 9.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  10. 10.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  11. 11.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) singing (d) predicting
  12. 12.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) many varied examples (d) new data for testing
  13. 13.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  14. 14.Which of these uses AI? (a) a light switch (b) a digital watch (c) video suggestions (d) a torch
  15. 15.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
  16. 16.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  17. 17.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
  18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  19. 19.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
  20. 20.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
  21. 21.Which of these is a fact about AI? (a) AI always checks facts (b) AI can make up facts (c) long answers are true (d) confident means correct
  22. 22.True or false: an AI chatbot writing a story about a lost kite is AI recommending something. (a) True (b) False
  23. 23.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  24. 24.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
  25. 25.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  26. 26.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
  27. 27.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a password (c) a backup (d) a summary
  29. 29.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
  30. 30.True or false: “very few examples” is good for training a model. (a) True (b) False
  31. 31.True or false: “a drawing of a cat on the Moon” asks for text. (a) False (b) True
  32. 32.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) old emails marked spam (d) tomorrow’s rain guess
  33. 33.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  34. 34.True or false: “many varied examples” is good for training a model. (a) False (b) True
  35. 35.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
  36. 36.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  37. 37.Which of these describes how AI works? (a) same steps every time (b) learns from examples (c) follows fixed rules (d) one set rule per case
  38. 38.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  39. 39.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) ask it to hurry (c) never do maths (d) copy it straight away
  40. 40.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) testing on training data (d) wrong labels

Answer key

  1. it learns from examples
  2. recommending
  3. video suggestions
  4. no, check it anyway
  5. only one kind of example
  6. use one group only
  7. skip testing
  8. checking labels twice
  9. True
  10. a simple rule is enough
  11. predicting
  12. labels added at random
  13. False
  14. video suggestions
  15. True
  16. False
  17. the right answer tag
  18. 500 labelled leaf photos
  19. a simple rule is enough
  20. music or sound
  21. AI can make up facts
  22. False
  23. bad for training
  24. False
  25. a simple rule is enough
  26. True
  27. a simple rule is enough
  28. a hallucination
  29. a text description
  30. False
  31. False
  32. old emails marked spam
  33. AI
  34. True
  35. an image
  36. a simple rule is enough
  37. learns from examples
  38. False
  39. check it on paper
  40. photos in many lights

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