← Part 1 test: what AI is lesson New set →

AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 487 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  2. 2.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) copies of one photo (d) photos in many lights
  3. 3.True or false: “what training builds” is the model. (a) False (b) True
  4. 4.True or false: “wrong labels” is good for training a model. (a) True (b) False
  5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will shut down (d) it will turn yellow
  7. 7.Which of these is bad for training a model? (a) very few examples (b) new data for testing (c) correct labels (d) clear, sharp examples
  8. 8.Which of these is not AI? (a) a spam filter (b) voice typing (c) photos grouped by face (d) a light switch
  9. 9.Which of these describes how AI works? (a) uses rules people wrote (b) improves with more data (c) does exactly as coded (d) follows fixed rules
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  11. 11.🔍 Which is the odd one out? (a) blurry, unclear photos (b) only one kind of example (c) very few examples (d) new data for testing
  12. 12.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  13. 13.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  15. 15.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  16. 16.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
  17. 17.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
  18. 18.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) the learned patterns (d) labelled fruit photos
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  20. 20.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
  21. 21.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  22. 22.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting a sick leaf (c) writing quiz questions (d) predicting rain
  23. 23.Which of these uses AI? (a) a stopwatch (b) photos grouped by face (c) a doorbell (d) a light switch
  24. 24.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
  25. 25.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) examples of every type (d) very few examples
  27. 27.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  28. 28.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  29. 29.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  30. 30.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  31. 31.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) text (c) music or sound
  32. 32.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  33. 33.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  34. 34.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  35. 35.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) wrong labels (d) photos in many lights
  36. 36.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  37. 37.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) singing (d) sleeping
  38. 38.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recommending (c) predicting (d) recognising
  39. 39.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  40. 40.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact

Answer key

  1. not spam
  2. photos in many lights
  3. True
  4. False
  5. a prediction
  6. it may get it wrong
  7. very few examples
  8. a light switch
  9. improves with more data
  10. spam
  11. new data for testing
  12. AI
  13. False
  14. a prediction
  15. False
  16. False
  17. good for training
  18. the learned patterns
  19. training data
  20. True
  21. True
  22. writing quiz questions
  23. photos grouped by face
  24. True
  25. True
  26. very few examples
  27. False
  28. makes something new
  29. False
  30. True
  31. text
  32. not AI
  33. a normal program
  34. training data
  35. wrong labels
  36. a simple rule is enough
  37. predicting
  38. recommending
  39. a myth
  40. a fact

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students