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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 280 · 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 is the AI doing here: an online shop showing “you may also like”? (a) recommending (b) recognising (c) predicting (d) generating
  2. 2.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  3. 3.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
  4. 4.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) improves with more data (d) one set rule per case
  5. 5.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  7. 7.True or false: “recorded spoken words” is training data. (a) True (b) False
  8. 8.True or false: “wrong labels” is good for training a model. (a) True (b) False
  9. 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) drawing a new picture (c) creating a cartoon (d) spotting spam
  11. 11.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
  12. 12.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) ask it to hurry (d) check it on paper
  13. 13.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  14. 14.Which of these is a fact about AI? (a) long answers are true (b) AI can be wrong (c) AI always checks facts (d) AI is never wrong
  15. 15.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
  16. 16.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  17. 17.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) old emails marked spam
  18. 18.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) yes, it can think (d) no, it follows rules
  19. 19.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  20. 20.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
  21. 21.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a battery (d) a password
  22. 22.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  23. 23.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a song about dogs (d) a list of rules only
  25. 25.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) asks a person (d) copies one website
  26. 26.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  27. 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) reading number plates (c) writing quiz questions (d) inventing a recipe
  28. 28.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  29. 29.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
  30. 30.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  31. 31.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  32. 32.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) an image (c) text
  33. 33.True or false: a book app suggesting a story like your last one is AI recognising something. (a) False (b) True
  34. 34.🔍 Which is the odd one out? (a) a light switch (b) a calculator (c) a torch (d) a spam filter
  35. 35.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
  36. 36.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  37. 37.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
  38. 38.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
  39. 39.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  40. 40.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity

Answer key

  1. recommending
  2. a basic calculator
  3. False
  4. one set rule per case
  5. makes something new
  6. spam
  7. True
  8. False
  9. more varied data
  10. spotting spam
  11. it learns patterns
  12. check it on paper
  13. needs AI (learning)
  14. AI can be wrong
  15. False
  16. good for training
  17. the learned patterns
  18. no, it follows rules
  19. a fact
  20. True
  21. a prompt
  22. a myth
  23. False
  24. many labelled photos
  25. predicts likely words
  26. needs AI (learning)
  27. reading number plates
  28. good for training
  29. True
  30. adds to bias
  31. AI
  32. an image
  33. False
  34. a spam filter
  35. no
  36. not AI
  37. makes new content
  38. not a real check
  39. needs AI (learning)
  40. it learns from examples

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