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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 599 · 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 is the odd one out? (a) photos grouped by face (b) an app translating signs (c) video suggestions (d) a microwave timer
  2. 2.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  3. 3.True or false: “past weather records” is a prediction. (a) False (b) True
  4. 4.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
  5. 5.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
  6. 6.🔍 Which is the odd one out? (a) AI answers need checking (b) AI copies data patterns (c) AI can mix up numbers (d) confident means correct
  7. 7.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
  8. 8.Which of these describes how AI works? (a) improves with more data (b) one set rule per case (c) does exactly as coded (d) uses rules people wrote
  9. 9.Which of these is not AI? (a) voice typing (b) an AI chatbot (c) video suggestions (d) a digital watch
  10. 10.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) very few examples (d) clear, sharp examples
  11. 11.Which of these describes how AI works? (a) follows fixed rules (b) spots patterns in data (c) one set rule per case (d) does exactly as coded
  12. 12.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  14. 14.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  15. 15.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
  16. 16.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the textbook (d) trust the AI
  17. 17.True or false: “ask different people” helps reduce bias. (a) False (b) True
  18. 18.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  19. 19.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
  20. 20.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  21. 21.True or false: “labels added at random” is good for training a model. (a) False (b) True
  22. 22.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  23. 23.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  24. 24.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) face unlock (d) a spam filter
  25. 25.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
  26. 26.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
  27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  28. 28.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  29. 29.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
  30. 30.True or false: “new data for testing” is good for training a model. (a) False (b) True
  31. 31.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  32. 32.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  33. 33.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  35. 35.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  36. 36.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) recognising (c) generating (d) predicting
  37. 37.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
  38. 38.🔍 Which is the odd one out? (a) AI answers need checking (b) AI learns from data (c) AI copies data patterns (d) AI is never wrong
  39. 39.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) generating (c) recommending (d) predicting
  40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction

Answer key

  1. a microwave timer
  2. False
  3. False
  4. predicting
  5. artificial intelligence
  6. confident means correct
  7. makes something new
  8. improves with more data
  9. a digital watch
  10. clear, sharp examples
  11. spots patterns in data
  12. recorded spoken words
  13. a prediction
  14. AI
  15. learn from data
  16. trust the textbook
  17. True
  18. False
  19. not a real check
  20. makes something new
  21. False
  22. a normal program
  23. no
  24. a basic calculator
  25. people
  26. better at its task
  27. few child voices in data
  28. True
  29. False
  30. True
  31. a real check
  32. no, it can be wrong
  33. a simple rule is enough
  34. training data
  35. True
  36. recognising
  37. no, it follows rules
  38. AI is never wrong
  39. generating
  40. a prediction

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