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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 408 · 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.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
  2. 2.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
  3. 3.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  4. 4.🔢 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
  5. 5.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  7. 7.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  8. 8.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
  9. 9.True or false: “rain sound effects for a play” asks for text. (a) False (b) True
  10. 10.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  11. 11.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
  12. 12.True or false: a music app suggesting a song you may like is AI generating something new. (a) False (b) True
  13. 13.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a hallucination (d) a summary
  14. 14.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  15. 15.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
  16. 16.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) no, it finds patterns (d) yes, just like us
  17. 17.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) examples of every type (d) wrong labels
  18. 18.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
  19. 19.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
  20. 20.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  21. 21.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  22. 22.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  23. 23.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) clear, sharp examples (d) wrong labels
  24. 24.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  25. 25.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) only one kind of example (d) many varied examples
  26. 26.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  28. 28.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) wrong labels (d) photos in many lights
  29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  30. 30.True or false: “long answers are true” is a fact about AI. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
  32. 32.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  33. 33.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) charging (d) printing
  34. 34.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
  35. 35.Which of these is a myth about AI? (a) AI answers need checking (b) AI can mix up numbers (c) AI can make up facts (d) long answers are true
  36. 36.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  37. 37.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
  38. 38.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
  39. 39.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  40. 40.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)

Answer key

  1. True
  2. music or sound
  3. the trained program
  4. check it on paper
  5. False
  6. bad for training
  7. bad for training
  8. False
  9. False
  10. no, check it anyway
  11. a simple rule is enough
  12. False
  13. a hallucination
  14. no
  15. False
  16. no, it finds patterns
  17. wrong labels
  18. sorts or predicts
  19. text
  20. good for training
  21. True
  22. a fact
  23. clear, sharp examples
  24. a fact
  25. only one kind of example
  26. False
  27. a prediction
  28. photos in many lights
  29. the model
  30. False
  31. labelled fruit photos
  32. to see if it works
  33. recommending
  34. artificial intelligence
  35. long answers are true
  36. a real check
  37. True
  38. True
  39. False
  40. needs AI (learning)

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