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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 84 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  2. 2.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
  3. 3.📝 Honest use or copying: getting ideas, then writing in your own words? (a) honest use (b) not honest
  4. 4.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  5. 5.Which of these is bad for training a model? (a) blurry, unclear photos (b) new data for testing (c) photos in many lights (d) clear, sharp examples
  6. 6.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
  7. 7.True or false: “asks for photos of you” is normal for a study chatbot. (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) a digital watch (b) a stopwatch (c) a microwave timer (d) voice typing
  9. 9.🛠️ Does this make a weak prompt better: make it vaguer? (a) not a fix (b) a good fix
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  11. 11.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  12. 12.True or false: an app asking for your date of birth is fine to do by yourself. (a) True (b) False
  13. 13.🛠️ Does this make a weak prompt better: add exclamation marks? (a) not a fix (b) a good fix
  14. 14.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  15. 15.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
  16. 16.True or false: “a photo I took” is my own work. (a) False (b) True
  17. 17.True or false: a quote from a library book in your essay is your own work (no credit needed). (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  19. 19.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  20. 20.True or false: “five quiz questions on fractions” asks for music or sound. (a) True (b) False
  21. 21.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
  22. 22.True or false: turning off a chatbot that feels wrong is fine to do by yourself. (a) True (b) False
  23. 23.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  24. 24.🎂 A friend says, “Just tick that you are older.” What should you do? (a) use a fake name (b) be honest (c) tick it (d) share a password
  25. 25.🧩 Which part of a prompt is this? “Like this: 2 + 3 = 5” (a) format (b) example (c) context (d) role
  26. 26.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
  27. 27.🔍 Which is the odd one out? (a) composing a new tune (b) drawing a new picture (c) turning speech to text (d) drafting a letter
  28. 28.🔍 Which is the odd one out? (a) calm, factual words (b) the original photo found (c) matches the textbook (d) too good to be true
  29. 29.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  30. 30.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
  31. 31.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) same steps every time (d) gives a likely answer
  32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  33. 33.True or false: “write it in capitals” makes a weak prompt better. (a) False (b) True
  34. 34.📏 Nisha wants a 70-word answer split into 2 equal points. How many words should each point have?
  35. 35.Which of these is normal for a study chatbot? (a) says not to tell parents (b) urges you to click links (c) asks your class level (d) asks to keep a secret
  36. 36.✍️ Clear or vague: “Suggest 4 names for our eco club, each under 3 words.”? (a) clear (b) vague
  37. 37.📏 What kind of constraint is “in under 50 words”? (a) a reading level (b) a length limit (c) what to include (d) a style or tone
  38. 38.True or false: “say what it is for” does not make a prompt better. (a) True (b) False
  39. 39.✍️ Clear or vague: “Write a message.”? (a) vague (b) clear
  40. 40.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) rule-based (b) generative (c) learning

Answer key

  1. data, model, prediction
  2. correct ÷ total × 100
  3. honest use
  4. not AI
  5. blurry, unclear photos
  6. no, check it anyway
  7. False
  8. voice typing
  9. not a fix
  10. not spam
  11. needs AI (learning)
  12. False
  13. not a fix
  14. False
  15. not AI
  16. True
  17. False
  18. training data
  19. not a real check
  20. False
  21. rule-based
  22. True
  23. AI
  24. be honest
  25. example
  26. choose what to sort
  27. turning speech to text
  28. too good to be true
  29. False
  30. True
  31. same steps every time
  32. training data
  33. False
  34. 35
  35. asks your class level
  36. clear
  37. a length limit
  38. False
  39. vague
  40. rule-based

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