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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 583 · 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.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
  2. 2.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
  3. 3.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  5. 5.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) many varied examples (d) correct labels
  6. 6.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a phone number (d) a text description
  7. 7.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  8. 8.True or false: “a thank-you note to the bus driver” asks for an image. (a) False (b) True
  9. 9.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) forget everything (d) better at its task
  10. 10.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
  11. 11.True or false: “improves with more data” describes how AI works. (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  13. 13.🔍 Which is the odd one out? (a) AI always checks facts (b) confident means correct (c) AI learns from data (d) AI has real feelings
  14. 14.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) predicting (c) recognising (d) recommending
  15. 15.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
  16. 16.Which of these describes how AI works? (a) spots patterns in data (b) does exactly as coded (c) same steps every time (d) never learns from data
  17. 17.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  19. 19.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) predicting rain (c) writing quiz questions (d) suggesting a video
  20. 20.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
  21. 21.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) actual information (d) automatic internet
  22. 22.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) copy it straight away (c) never do maths (d) ask it to hurry
  23. 23.Which of these is bad for training a model? (a) new data for testing (b) blurry, unclear photos (c) many varied examples (d) checking labels twice
  24. 24.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  25. 25.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) an image (c) music or sound
  26. 26.🔍 Which is the odd one out? (a) face unlock on a phone (b) a doorbell (c) video suggestions (d) a voice assistant
  27. 27.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  28. 28.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
  29. 29.Which of these is a prediction? (a) past weather records (b) the trained program (c) what training builds (d) naming a new leaf
  30. 30.True or false: “balance the data” helps reduce bias. (a) True (b) False
  31. 31.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  32. 32.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  33. 33.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI is never wrong (c) AI learns from data (d) AI answers need checking
  34. 34.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) copies of one photo (d) very few examples
  35. 35.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
  36. 36.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) no, it follows rules (d) yes, it is smart
  37. 37.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
  38. 38.Which of these describes how AI works? (a) improves with more data (b) never learns from data (c) same steps every time (d) uses rules people wrote
  39. 39.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  40. 40.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough

Answer key

  1. recommending
  2. False
  3. a fact
  4. the model
  5. very few examples
  6. a text description
  7. False
  8. False
  9. better at its task
  10. False
  11. True
  12. balanced data
  13. AI learns from data
  14. recommending
  15. True
  16. spots patterns in data
  17. False
  18. one-sided data
  19. writing quiz questions
  20. True
  21. artificial intelligence
  22. check it on paper
  23. blurry, unclear photos
  24. data, model, prediction
  25. an image
  26. a doorbell
  27. to see if it works
  28. text
  29. naming a new leaf
  30. True
  31. needs AI (learning)
  32. balanced data
  33. AI is never wrong
  34. checking labels twice
  35. a simple rule is enough
  36. no, it follows rules
  37. not AI
  38. improves with more data
  39. good for training
  40. a simple rule is enough

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