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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 336 · 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.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  2. 2.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
  3. 3.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) predicts likely words (d) copies one website
  4. 4.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  5. 5.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
  6. 6.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) checking labels twice (d) very few examples
  7. 7.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
  8. 8.Which of these is a fact about AI? (a) AI learns from data (b) confident means correct (c) AI knows everything (d) AI is never wrong
  9. 9.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) spotting spam (d) reading number plates
  10. 10.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) no, it follows rules (d) yes, it is smart
  11. 11.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
  12. 12.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  13. 13.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
  14. 14.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
  15. 15.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) drafting a letter (c) making up a story (d) creating a cartoon
  17. 17.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
  18. 18.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
  19. 19.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) AI knows everything (d) AI answers need checking
  20. 20.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  21. 21.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  22. 22.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  23. 23.True or false: “old emails marked spam” is training data. (a) True (b) False
  24. 24.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) an image generator (b) an app translating signs (c) a map predicting traffic (d) a torch
  26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  27. 27.Which of these adds to bias? (a) skip testing (b) add varied examples (c) ask different people (d) check who is missing
  28. 28.True or false: “test on many groups” adds to bias. (a) True (b) False
  29. 29.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  30. 30.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  31. 31.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
  32. 32.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
  33. 33.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  34. 34.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
  35. 35.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) labels added at random (d) clear, sharp examples
  36. 36.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  37. 37.Which of these uses AI? (a) a digital watch (b) a printed timetable (c) an image generator (d) a calculator
  38. 38.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  39. 39.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  40. 40.True or false: “never learns from data” describes how a normal program works. (a) True (b) False

Answer key

  1. AI
  2. an image
  3. predicts likely words
  4. no, it can be wrong
  5. a basic calculator
  6. very few examples
  7. False
  8. AI learns from data
  9. writing a new poem
  10. no, it follows rules
  11. data, model, prediction
  12. a real check
  13. artificial intelligence
  14. makes something new
  15. bad for training
  16. suggesting a video
  17. learn from data
  18. needs AI (learning)
  19. AI answers need checking
  20. old emails marked spam
  21. a normal program
  22. False
  23. True
  24. True
  25. a torch
  26. reduces bias
  27. skip testing
  28. False
  29. a fact
  30. False
  31. False
  32. True
  33. True
  34. True
  35. clear, sharp examples
  36. what training builds
  37. an image generator
  38. False
  39. uses AI
  40. True

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