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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 489 · 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.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  2. 2.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  3. 3.Which of these uses AI? (a) video suggestions (b) a microwave timer (c) a calculator (d) a light switch
  4. 4.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  5. 5.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
  6. 6.Which of these is a myth about AI? (a) AI can mix up numbers (b) long answers are true (c) AI can make up facts (d) AI can be wrong
  7. 7.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) singing (d) sleeping
  8. 8.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
  9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  10. 10.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) spotting a sick leaf (c) composing a new tune (d) drawing a new picture
  12. 12.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) recommending (d) printing
  13. 13.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  14. 14.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) same steps every time (d) learns from examples
  15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) inventing a recipe (c) unlocking with a face (d) drawing a new picture
  16. 16.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
  17. 17.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  18. 18.🔍 Which is the odd one out? (a) a light switch (b) an AI chatbot (c) a spam filter (d) face unlock on a phone
  19. 19.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  20. 20.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) check it on paper (d) copy it straight away
  21. 21.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) reading number plates (c) unlocking with a face (d) drawing a new picture
  22. 22.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
  23. 23.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) skip testing (d) balance the data
  24. 24.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
  25. 25.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  26. 26.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
  27. 27.True or false: “a logo idea for the eco club” asks for text. (a) True (b) False
  28. 28.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  29. 29.True or false: “add more of the same” adds to bias. (a) False (b) True
  30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  32. 32.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
  33. 33.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  34. 34.Which of these is not AI? (a) a map predicting traffic (b) a voice assistant (c) a torch (d) an app translating signs
  35. 35.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  36. 36.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
  37. 37.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) makes new content (d) only adds numbers
  38. 38.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  39. 39.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
  40. 40.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) drafting a letter (c) predicting rain (d) making up a story

Answer key

  1. a real check
  2. True
  3. video suggestions
  4. recorded spoken words
  5. to see if it works
  6. long answers are true
  7. predicting
  8. a simple rule is enough
  9. a prediction
  10. makes something new
  11. spotting a sick leaf
  12. recommending
  13. good for training
  14. same steps every time
  15. unlocking with a face
  16. False
  17. a myth
  18. a light switch
  19. False
  20. check it on paper
  21. drawing a new picture
  22. sorts or predicts
  23. balance the data
  24. True
  25. AI
  26. False
  27. False
  28. good for training
  29. True
  30. training data
  31. True
  32. an image
  33. bad for training
  34. a torch
  35. a real check
  36. True
  37. makes new content
  38. a myth
  39. False
  40. predicting rain

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