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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 374 · 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.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
  3. 3.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
  4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
  5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  6. 6.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
  7. 7.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  8. 8.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) copies of one photo (d) new data for testing
  9. 9.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  10. 10.🔍 Which is the odd one out? (a) spotting a sick leaf (b) turning speech to text (c) drafting a letter (d) suggesting a video
  11. 11.🎨 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
  12. 12.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
  13. 13.Which of these is a prediction? (a) past weather records (b) the trained program (c) recorded spoken words (d) flagging a new email
  14. 14.True or false: “examples of every type” is bad for training a model. (a) False (b) True
  15. 15.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  16. 16.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) check it on paper (c) ask it to hurry (d) copy it straight away
  17. 17.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
  18. 18.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recognising (c) recommending (d) predicting
  19. 19.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
  20. 20.Which of these is not AI? (a) a microwave timer (b) photos grouped by face (c) a voice assistant (d) face unlock on a phone
  21. 21.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) text (c) music or sound
  22. 22.Which of these uses AI? (a) a torch (b) a microwave timer (c) a fan regulator (d) video suggestions
  23. 23.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
  24. 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  25. 25.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) sorting photos by face (c) predicting rain (d) drafting a letter
  26. 26.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  27. 27.True or false: “a soft lullaby melody” asks for an image. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  29. 29.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  30. 30.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
  31. 31.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
  32. 32.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) test on many groups
  33. 33.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
  34. 34.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
  35. 35.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
  36. 36.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
  37. 37.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) never learns from data (d) improves with more data
  38. 38.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  39. 39.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) photos in many lights (b) testing on training data (c) correct labels (d) examples of every type

Answer key

  1. reduces bias
  2. spam
  3. False
  4. not spam
  5. one-sided data
  6. no, check it anyway
  7. needs AI (learning)
  8. new data for testing
  9. a fact
  10. drafting a letter
  11. an image
  12. text
  13. flagging a new email
  14. False
  15. True
  16. check it on paper
  17. False
  18. generating
  19. no, it follows rules
  20. a microwave timer
  21. text
  22. video suggestions
  23. data, model, prediction
  24. False
  25. drafting a letter
  26. adds to bias
  27. False
  28. the model
  29. False
  30. a prompt
  31. a basic calculator
  32. add more of the same
  33. a simple rule is enough
  34. False
  35. artificial intelligence
  36. True
  37. improves with more data
  38. True
  39. True
  40. testing on training data

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