← 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 93 · 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.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
  2. 2.🔍 Which is the odd one out? (a) clear, sharp examples (b) labels added at random (c) correct labels (d) new data for testing
  3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
  4. 4.Which of these describes how a normal program works? (a) makes a best guess (b) same steps every time (c) gives a likely answer (d) handles unseen examples
  5. 5.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  7. 7.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
  8. 8.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) generating (c) predicting (d) recommending
  9. 9.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
  10. 10.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
  11. 11.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
  12. 12.💬 What do we call the request you type to a generative AI? (a) a password (b) a prompt (c) a label (d) a battery
  13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) writing quiz questions (c) inventing a recipe (d) reading number plates
  14. 14.🔍 Which is the odd one out? (a) long answers are true (b) AI knows everything (c) AI can be wrong (d) confident means correct
  15. 15.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
  16. 16.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  17. 17.True or false: “many varied examples” is good for training a model. (a) True (b) False
  18. 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  19. 19.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) the trained program (d) recorded spoken words
  20. 20.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  21. 21.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
  22. 22.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) many varied examples (d) very few examples
  23. 23.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) wrong labels (d) many varied examples
  24. 24.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI can make up facts (d) AI always checks facts
  25. 25.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) an AI chatbot (b) a map predicting traffic (c) a light switch (d) face unlock on a phone
  27. 27.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.True or false: “check who is missing” adds to bias. (a) True (b) False
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  30. 30.Which of these describes how AI works? (a) one set rule per case (b) uses rules people wrote (c) gives a likely answer (d) follows fixed rules
  31. 31.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
  32. 32.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  33. 33.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  34. 34.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) makes a best guess (d) uses rules people wrote
  35. 35.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) new data for testing (d) testing on training data
  36. 36.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) copies of one photo (d) many varied examples
  37. 37.🔍 Which is the odd one out? (a) spotting spam (b) writing quiz questions (c) creating a cartoon (d) drawing a new picture
  38. 38.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) text (c) music or sound
  39. 39.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  40. 40.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) the weather (d) your password

Answer key

  1. learn from data
  2. labels added at random
  3. bias from data
  4. same steps every time
  5. adds to bias
  6. training data
  7. check it on paper
  8. generating
  9. True
  10. sorts or predicts
  11. True
  12. a prompt
  13. reading number plates
  14. AI can be wrong
  15. True
  16. AI
  17. True
  18. False
  19. recorded spoken words
  20. makes something new
  21. no, check it anyway
  22. many varied examples
  23. wrong labels
  24. AI always checks facts
  25. False
  26. a light switch
  27. needs AI (learning)
  28. False
  29. not spam
  30. gives a likely answer
  31. its training data
  32. a simple rule is enough
  33. needs AI (learning)
  34. uses rules people wrote
  35. testing on training data
  36. many varied examples
  37. spotting spam
  38. an image
  39. no
  40. a text description

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