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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 690 · 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.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) flagging a new email
  2. 2.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  3. 3.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) spots patterns in data (d) follows fixed rules
  4. 4.Which of these requests helps you learn? (a) “do my worksheet” (b) “write my poem for me” (c) “define ‘orbit’ for me” (d) “write my diary entry”
  5. 5.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
  6. 6.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
  7. 7.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) the trained program (d) 500 labelled leaf photos
  8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
  9. 9.🎂 Ask an adult first, or fine to do yourself: taking a break from the screen? (a) ask an adult first (b) fine to do yourself
  10. 10.Which of these is the input? (a) the typed reply (b) the predicted word (c) the generated picture (d) a tune you hum
  11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) creating a cartoon (c) composing a new tune (d) drawing a new picture
  12. 12.Which of these is stage 1 (try it yourself)? (a) ask for one hint (b) ask how to start (c) attempt it on paper (d) ask for the steps
  13. 13.🔍 Which is the odd one out? (a) a named author (b) calm, factual words (c) blurry, melted text (d) matches the textbook
  14. 14.True or false: “a chapter name” is okay to share with an AI chatbot. (a) False (b) True
  15. 15.Which of these is a red flag — stop and tell an adult? (a) gives an example (b) asks for your address (c) suggests practice (d) says it may be wrong
  16. 16.True or false: “Give me 5 multiple-choice questions on Chapter 4.” is asking for a summary. (a) False (b) True
  17. 17.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  18. 18.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
  19. 19.🔒 Keep it private or okay to share with an AI chatbot: a riddle to solve? (a) okay to share (b) keep it private
  20. 20.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  21. 21.📏 Why add a constraint to a prompt? (a) to make AI angry (b) to hide the task (c) to get what you need (d) to waste time
  22. 22.Which of these is a warning sign of a fake picture or story? (a) a named author (b) a known news desk (c) the original photo found (d) shadows going two ways
  23. 23.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
  24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  25. 25.🔎 Before sharing a surprising post, which comes first — report it if fake or compare with others? (a) report it if fake (b) compare with others
  26. 26.True or false: “asks for a password” is a red flag — stop and tell an adult. (a) False (b) True
  27. 27.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  28. 28.Which of these is NOT a good source to check against? (a) a forwarded message (b) a library book (c) your teacher (d) an encyclopedia
  29. 29.📦 Meera collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  30. 30.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
  31. 31.💬 Rule-based or learning chatbot: “builds its own replies”? (a) learning (b) rule-based
  32. 32.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) share it online (d) stop studying
  33. 33.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
  34. 34.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  35. 35.⏩ When you use an AI app, which happens first: the model makes a guess or you upload a photo? (a) the model makes a guess (b) you upload a photo
  36. 36.True or false: “Write a polite 3-line message asking my teacher for extra practice sheets.” is a vague prompt. (a) False (b) True
  37. 37.🧩 Which part of a prompt is this? “Sample: Q: 4 × 2? A: 8” (a) format (b) role (c) example (d) context
  38. 38.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) context (b) more capitals (c) a password (d) a random emoji
  39. 39.🖼️ Warning sign or good sign: six fingers on a hand? (a) a warning sign (b) a good sign
  40. 40.Which of these makes a weak prompt better? (a) write it in capitals (b) add exclamation marks (c) leave out the topic (d) add your class level

Answer key

  1. the trained program
  2. False
  3. spots patterns in data
  4. “define ‘orbit’ for me”
  5. False
  6. sorts or predicts
  7. flagging a new email
  8. its training data
  9. fine to do yourself
  10. a tune you hum
  11. spotting spam
  12. attempt it on paper
  13. blurry, melted text
  14. True
  15. asks for your address
  16. False
  17. no
  18. not AI
  19. okay to share
  20. try unseen examples
  21. to get what you need
  22. shadows going two ways
  23. 9
  24. a prediction
  25. compare with others
  26. True
  27. a myth
  28. a forwarded message
  29. 64
  30. it may get it wrong
  31. learning
  32. trust the textbook
  33. more labelled examples
  34. it learns patterns
  35. you upload a photo
  36. False
  37. example
  38. context
  39. a warning sign
  40. add your class level

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