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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 984 · 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.Which of these describes how AI works? (a) does exactly as coded (b) handles unseen examples (c) follows fixed rules (d) never learns from data
  2. 2.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
  3. 3.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) predicting (b) generating (c) recommending (d) recognising
  4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  5. 5.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  6. 6.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  8. 8.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) turning speech to text (c) drawing a new picture (d) spotting spam
  9. 9.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) testing on training data (d) examples of every type
  10. 10.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  11. 11.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it has a screen (d) it uses electricity
  12. 12.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  13. 13.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) wrong labels (d) blurry, unclear photos
  14. 14.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  15. 15.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) spotting spam (c) writing a new poem (d) suggesting a video
  16. 16.True or false: “a thank-you note to the bus driver” asks for an image. (a) False (b) True
  17. 17.🔍 Which is the odd one out? (a) drawing a new picture (b) drafting a letter (c) creating a cartoon (d) unlocking with a face
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  19. 19.🔍 Which is the odd one out? (a) an AI chatbot (b) a voice assistant (c) a light switch (d) a spam filter
  20. 20.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  21. 21.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
  22. 22.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
  23. 23.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  24. 24.Which of these uses AI? (a) video suggestions (b) a calculator (c) a digital watch (d) a stopwatch
  25. 25.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  26. 26.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
  27. 27.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  28. 28.True or false: “add varied examples” adds to bias. (a) True (b) False
  29. 29.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  31. 31.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
  32. 32.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) check who is missing (d) add varied examples
  33. 33.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) uses rules people wrote (d) learns from examples
  34. 34.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
  35. 35.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  36. 36.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) text (c) music or sound
  37. 37.Which of these is a fact about AI? (a) AI learns from data (b) AI knows everything (c) long answers are true (d) AI is never wrong
  38. 38.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) only one kind of example (d) blurry, unclear photos
  39. 39.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
  40. 40.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training

Answer key

  1. handles unseen examples
  2. a simple rule is enough
  3. predicting
  4. one-sided data
  5. adds to bias
  6. needs AI (learning)
  7. the model
  8. drawing a new picture
  9. examples of every type
  10. a fact
  11. it learns from examples
  12. sorts or predicts
  13. photos in many lights
  14. a real check
  15. writing a new poem
  16. False
  17. unlocking with a face
  18. a prediction
  19. a light switch
  20. a real check
  21. False
  22. text
  23. AI
  24. video suggestions
  25. uses AI
  26. music or sound
  27. a fact
  28. False
  29. True
  30. a prediction
  31. naming a new fruit photo
  32. copy old unfair choices
  33. uses rules people wrote
  34. False
  35. sorts or predicts
  36. an image
  37. AI learns from data
  38. correct labels
  39. artificial intelligence
  40. bad for training

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