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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 60 · 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.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  2. 2.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only stores files (d) only adds numbers
  3. 3.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  4. 4.Which of these is a fact about AI? (a) AI learns from data (b) AI has real feelings (c) AI always checks facts (d) AI knows everything
  5. 5.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  6. 6.Which of these is not AI? (a) face unlock on a phone (b) video suggestions (c) an app translating signs (d) a digital watch
  7. 7.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  10. 10.Which of these is good for training a model? (a) checking labels twice (b) blurry, unclear photos (c) labels added at random (d) testing on training data
  11. 11.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) handles unseen examples (d) uses rules people wrote
  12. 12.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
  13. 13.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) use one group only (d) copy old unfair choices
  14. 14.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
  15. 15.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  16. 16.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  17. 17.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
  18. 18.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
  19. 19.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a hallucination (d) a password
  20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  21. 21.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
  22. 22.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  23. 23.Which of these is a myth about AI? (a) AI can be wrong (b) AI can mix up numbers (c) AI can make up facts (d) long answers are true
  24. 24.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
  25. 25.True or false: “long answers are true” is a myth about AI. (a) True (b) False
  26. 26.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
  27. 27.🏷️ 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) not spam (b) spam
  28. 28.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) use one group only (d) check who is missing
  29. 29.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  30. 30.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  31. 31.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  33. 33.True or false: a keyboard guessing your next word is AI recognising something. (a) False (b) True
  34. 34.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
  35. 35.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  36. 36.Which of these is bad for training a model? (a) photos in many lights (b) copies of one photo (c) correct labels (d) checking labels twice
  37. 37.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) recommending (c) generating (d) recognising
  38. 38.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  39. 39.🔍 Which is the odd one out? (a) AI can make up facts (b) AI answers need checking (c) AI is never wrong (d) AI can be wrong
  40. 40.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check

Answer key

  1. True
  2. makes new content
  3. not AI
  4. AI learns from data
  5. True
  6. a digital watch
  7. True
  8. the model
  9. one-sided data
  10. checking labels twice
  11. uses rules people wrote
  12. True
  13. check who is missing
  14. True
  15. it learns patterns
  16. not AI
  17. True
  18. True
  19. a hallucination
  20. few child voices in data
  21. recommending
  22. sorts or predicts
  23. long answers are true
  24. the right answer tag
  25. True
  26. not AI
  27. not spam
  28. use one group only
  29. False
  30. not AI
  31. a fact
  32. reduces bias
  33. False
  34. not a real check
  35. AI
  36. copies of one photo
  37. generating
  38. a normal program
  39. AI is never wrong
  40. a real check

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