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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 655 · 40 questions
TalentJR

AI tip (Know it, prompt it, check it): Find the topic: what AI is, prompts, honest use, checking, privacy, age rules, fakes, credit, study, apps or projects. Use that lesson’s rule and read every option before you choose. For number questions, write the calculation first: words over = written − limit, accuracy = correct ÷ total × 100.

NameDateTime takenScore ___ / 40
  1. 1.🔒 Keep it private or okay to share with an AI chatbot: a one-time password? (a) keep it private (b) okay to share
  2. 2.🎂 Many AI apps have a minimum age in their rules. What should you do? (a) lie about your age (b) make a fake account (c) ignore it (d) check it with a parent
  3. 3.🛠️ Does this make a weak prompt better: add your class level? (a) a good fix (b) not a fix
  4. 4.©️ Can you sell copies of someone else’s comic? (a) not without permission (b) yes, if you colour it (c) yes, any time
  5. 5.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
  6. 6.Which of these is good for training a model? (a) clear, sharp examples (b) labels added at random (c) only one kind of example (d) wrong labels
  7. 7.True or false: “a one-time password” is okay to share with an AI chatbot. (a) False (b) True
  8. 8.🪜 What does this prompt ask for? “Final answer only for question 7.” (a) asks only for the answer (b) asks for steps
  9. 9.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  10. 10.True or false: “gets better with data” describes a rule-based chatbot. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) a classmate’s drawing (b) a song on the radio (c) a chart from the news (d) my own diary
  12. 12.📝 Honest use or copying: having it write your project report word for word? (a) not honest (b) honest use
  13. 13.✍️ Which prompt is clearer?
    A: “Check ‘She go to school daily’ for grammar and explain the fix.”
    B: “Fix it.”
    (a) Prompt A (b) Prompt B
  14. 14.🧩 Which part of a prompt is this? “Act as a friendly maths tutor.” (a) context (b) example (c) task (d) role
  15. 15.Which of these says what to include? (a) for a Class 3 student (b) in a formal tone (c) include 2 Indian rivers (d) for a 9-year-old
  16. 16.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  17. 17.🔎 Checking an AI answer: which do you do first — read the AI answer or compare the facts? (a) read the AI answer (b) compare the facts
  18. 18.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
  19. 19.📦 Saanvi collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  20. 20.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) recommending (c) generating (d) recognising
  21. 21.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  22. 22.Which of these requests helps you learn? (a) “do my worksheet” (b) “finish my homework” (c) “explain it more simply” (d) “solve my test paper”
  23. 23.©️ Does this need credit: a picture made with an image generator in your project? (a) your own work (b) needs credit
  24. 24.True or false: a camera app naming the flower you point at is AI predicting something. (a) True (b) False
  25. 25.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) the weather (d) a phone number
  26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
  27. 27.Which of these is the model? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
  28. 28.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) recommending (c) predicting (d) generating
  29. 29.Which of these is a fact about AI? (a) AI can be wrong (b) AI has real feelings (c) AI is never wrong (d) AI always checks facts
  30. 30.🔍 Which is the odd one out? (a) your live location (b) your school ID number (c) a photo of your friend (d) a story idea
  31. 31.©️ Whose work is it: a photo from a website? (a) someone else’s work (b) my own work
  32. 32.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) checking labels twice (d) correct labels
  33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  34. 34.🧮 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
  35. 35.©️ Whose work is it: my own survey results? (a) my own work (b) someone else’s work
  36. 36.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
  37. 37.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) predicting (c) recommending (d) generating
  38. 38.True or false: “rain sound effects for a play” asks for an image. (a) False (b) True
  39. 39.True or false: “add unrelated details” makes a weak prompt better. (a) False (b) True
  40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data

Answer key

  1. keep it private
  2. check it with a parent
  3. a good fix
  4. not without permission
  5. data, model, prediction
  6. clear, sharp examples
  7. False
  8. asks only for the answer
  9. makes something new
  10. False
  11. my own diary
  12. not honest
  13. Prompt A
  14. role
  15. include 2 Indian rivers
  16. adds to bias
  17. read the AI answer
  18. False
  19. 152
  20. predicting
  21. no
  22. “explain it more simply”
  23. needs credit
  24. False
  25. a text description
  26. bias from data
  27. what training builds
  28. recommending
  29. AI can be wrong
  30. a story idea
  31. someone else’s work
  32. wrong labels
  33. False
  34. no, it follows rules
  35. my own work
  36. recheck every label
  37. recommending
  38. False
  39. False
  40. training data

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