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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 929 · 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 is a prediction? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) old emails marked spam
  2. 2.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  3. 3.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) predicting (c) recognising (d) recommending
  4. 4.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  5. 5.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  7. 7.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) handles unseen examples (d) same steps every time
  8. 8.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
  9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  11. 11.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  12. 12.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
  13. 13.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  14. 14.🔍 Which is the odd one out? (a) drafting a letter (b) inventing a recipe (c) reading number plates (d) making up a story
  15. 15.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  16. 16.True or false: “the trained program” is training data. (a) False (b) True
  17. 17.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
  18. 18.Which of these is the model? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) naming a new fruit photo
  19. 19.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  20. 20.True or false: “correct labels” is good for training a model. (a) True (b) False
  21. 21.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
  22. 22.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  23. 23.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) an image (c) music or sound
  24. 24.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI can make up facts (d) AI always checks facts
  25. 25.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
  26. 26.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) spotting spam (c) composing a new tune (d) suggesting a video
  27. 27.Which of these describes how AI works? (a) spots patterns in data (b) uses rules people wrote (c) does exactly as coded (d) one set rule per case
  28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  29. 29.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
  30. 30.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  31. 31.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only stores files (d) only adds numbers
  32. 32.🔍 Which is the odd one out? (a) only one kind of example (b) blurry, unclear photos (c) testing on training data (d) new data for testing
  33. 33.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  34. 34.Which of these is the model? (a) the trained program (b) naming a new leaf (c) labelled fruit photos (d) recorded spoken words
  35. 35.Which of these is a fact about AI? (a) AI has real feelings (b) confident means correct (c) long answers are true (d) AI can make up facts
  36. 36.Which of these uses AI? (a) a light switch (b) a digital watch (c) photos grouped by face (d) a kitchen weighing scale
  37. 37.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) uses rules people wrote (d) handles unseen examples
  38. 38.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) an image (c) text
  39. 39.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  40. 40.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing

Answer key

  1. naming a new leaf
  2. not a real check
  3. generating
  4. AI
  5. False
  6. needs AI (learning)
  7. same steps every time
  8. it learns from examples
  9. few child voices in data
  10. the model
  11. one-sided data
  12. False
  13. bad for training
  14. reading number plates
  15. good for training
  16. False
  17. False
  18. the learned patterns
  19. True
  20. True
  21. True
  22. a normal program
  23. text
  24. AI can make up facts
  25. True
  26. composing a new tune
  27. spots patterns in data
  28. spam
  29. True
  30. its training data
  31. makes new content
  32. new data for testing
  33. no
  34. the trained program
  35. AI can make up facts
  36. photos grouped by face
  37. handles unseen examples
  38. music or sound
  39. more varied data
  40. a basic calculator

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