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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 369 · 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 is the odd one out? (a) correct labels (b) wrong labels (c) new data for testing (d) clear, sharp examples
  2. 2.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
  3. 3.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  4. 4.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  5. 5.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) generating (c) predicting (d) recognising
  6. 6.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  7. 7.Which of these is training data? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) the trained program
  8. 8.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) creating a cartoon (b) spotting a sick leaf (c) drawing a new picture (d) writing a new poem
  10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  11. 11.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
  12. 12.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
  13. 13.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  14. 14.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
  16. 16.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) look in your textbook (c) guess (d) pick a lucky number
  17. 17.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a hallucination (d) a backup
  18. 18.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  19. 19.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) does exactly as coded (d) makes a best guess
  20. 20.🔍 Which is the odd one out? (a) voice typing (b) a microwave timer (c) an image generator (d) photos grouped by face
  21. 21.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
  22. 22.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  23. 23.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) inventing a recipe (d) drawing a new picture
  24. 24.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  25. 25.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
  26. 26.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
  27. 27.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  28. 28.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  29. 29.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
  30. 30.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  32. 32.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
  33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  34. 34.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
  35. 35.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
  36. 36.True or false: “test on one group only” adds to bias. (a) True (b) False
  37. 37.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
  38. 38.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
  39. 39.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
  40. 40.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) recognising (c) predicting (d) generating

Answer key

  1. wrong labels
  2. no, it can be wrong
  3. True
  4. a normal program
  5. recognising
  6. True
  7. recorded spoken words
  8. True
  9. spotting a sick leaf
  10. balanced data
  11. a text description
  12. True
  13. uses AI
  14. good for training
  15. many labelled photos
  16. look in your textbook
  17. a hallucination
  18. a fact
  19. does exactly as coded
  20. a microwave timer
  21. predicts likely words
  22. not a real check
  23. spotting spam
  24. True
  25. uses AI
  26. False
  27. a fact
  28. makes something new
  29. True
  30. good for training
  31. a prediction
  32. it learns patterns
  33. training data
  34. to see if it works
  35. True
  36. True
  37. True
  38. sorts or predicts
  39. no
  40. recognising

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