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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 45 · 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.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  3. 3.🔍 Which is the odd one out? (a) a map predicting traffic (b) a fan regulator (c) a spam filter (d) voice typing
  4. 4.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
  5. 5.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  6. 6.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
  7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
  8. 8.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) recognising (c) generating (d) predicting
  9. 9.🔍 Which is the odd one out? (a) spotting spam (b) drafting a letter (c) drawing a new picture (d) inventing a recipe
  10. 10.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
  11. 11.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
  12. 12.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  13. 13.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) an image (c) text
  14. 14.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
  15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
  16. 16.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
  17. 17.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  18. 18.🔍 Which is the odd one out? (a) turning speech to text (b) spotting a sick leaf (c) spotting spam (d) drafting a letter
  19. 19.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  20. 20.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) predicting (d) recommending
  21. 21.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) turning speech to text (c) predicting rain (d) unlocking with a face
  22. 22.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
  23. 23.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
  24. 24.Which of these is not AI? (a) a voice assistant (b) an image generator (c) a map predicting traffic (d) a microwave timer
  25. 25.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) very few examples (d) wrong labels
  26. 26.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) music or sound (c) text
  27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  28. 28.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  29. 29.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
  30. 30.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  31. 31.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  32. 32.Which of these adds to bias? (a) use one group only (b) add varied examples (c) test on many groups (d) check who is missing
  33. 33.True or false: “checking labels twice” is good for training a model. (a) False (b) True
  34. 34.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) a microwave timer (b) a spam filter (c) photos grouped by face (d) face unlock on a phone
  36. 36.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) 500 labelled leaf photos (d) what training builds
  37. 37.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) the price (d) a sticker on a laptop
  38. 38.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
  39. 39.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  40. 40.Which of these is not AI? (a) photos grouped by face (b) voice typing (c) a kitchen weighing scale (d) an AI chatbot

Answer key

  1. AI
  2. few child voices in data
  3. a fan regulator
  4. to see if it works
  5. good for training
  6. people
  7. spam
  8. generating
  9. spotting spam
  10. artificial intelligence
  11. True
  12. no
  13. music or sound
  14. True
  15. many labelled photos
  16. False
  17. a simple rule is enough
  18. drafting a letter
  19. it learns patterns
  20. recommending
  21. composing a new tune
  22. data, model, prediction
  23. True
  24. a microwave timer
  25. many varied examples
  26. an image
  27. training data
  28. False
  29. a prompt
  30. uses AI
  31. True
  32. use one group only
  33. True
  34. False
  35. a microwave timer
  36. typing a new spoken word
  37. the right answer tag
  38. text
  39. reduces bias
  40. a kitchen weighing scale

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