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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 363 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
  2. 2.True or false: “Like this: 2 + 3 = 5” is the example part of a prompt. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) correct labels (d) photos in many lights
  4. 4.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
  5. 5.🗂️ What study help is this prompt asking for? “Why does the Moon change shape? Explain for Class 6.” (a) a summary (b) an explanation (c) a practice quiz (d) flashcards
  6. 6.✍️ Clear or vague: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”? (a) vague (b) clear
  7. 7.📚 Smart or poor way to study with AI: redo wrong questions? (a) poor study (b) smart study
  8. 8.🧩 Which part of a prompt is this? “Sample: Q: 4 × 2? A: 8” (a) role (b) task (c) format (d) example
  9. 9.Which of these describes how AI works? (a) improves with more data (b) uses rules people wrote (c) follows fixed rules (d) one set rule per case
  10. 10.©️ What does “giving credit” mean? (a) paying with a card (b) adding a filter (c) saying who made it (d) hiding the source
  11. 11.🔁 Learning a hard sum with AI: which should you do first — ask for the steps or have a go on your own? (a) ask for the steps (b) have a go on your own
  12. 12.🪜 What does this prompt ask for? “Walk me through how you found the area.” (a) asks only for the answer (b) asks for steps
  13. 13.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  14. 14.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) learning (b) rule-based (c) generative
  15. 15.📝 Honest use or copying: pasting its answers into your homework sheet? (a) not honest (b) honest use
  16. 16.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  17. 17.📏 “Explain in simple words for a 10-year-old.” This sets the… (a) reading level (b) battery level (c) page number (d) font colour
  18. 18.✍️ Which prompt is clearer?
    A: “Explain why the sky looks blue in under 60 words for a 10-year-old.”
    B: “Sky colour?”
    (a) Prompt A (b) Prompt B
  19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  21. 21.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting spam (c) turning speech to text (d) writing quiz questions
  22. 22.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  23. 23.Which of these is training data? (a) naming a new leaf (b) past weather records (c) naming a new fruit photo (d) the trained program
  24. 24.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  25. 25.📖 Is this a good source to check an AI answer against: an anonymous post? (a) not a good source (b) a good source
  26. 26.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
  27. 27.True or false: “very few examples” is good for training a model. (a) True (b) False
  28. 28.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
  29. 29.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
  30. 30.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) clear, sharp examples (d) only one kind of example
  31. 31.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True
  32. 32.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) gives a likely answer (d) same steps every time
  33. 33.🔍 Which is the odd one out? (a) a known news desk (b) fits other reports (c) the original photo found (d) a background that bends
  34. 34.🔍 Which is the odd one out? (a) mismatched earrings (b) a shocking headline (c) a clear date (d) shadows going two ways
  35. 35.Which of these is the input? (a) the patterns it learned (b) a drawing you make (c) the typed reply (d) the generated picture
  36. 36.🔍 Which is the odd one out? (a) no trusted source (b) a shocking headline (c) too good to be true (d) fits other reports
  37. 37.🔎 Checking an AI answer: which do you do first — read the AI answer or fix your notes? (a) read the AI answer (b) fix your notes
  38. 38.📦 Rohan collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  39. 39.True or false: a classmate’s idea you used needs credit (say where it came from). (a) True (b) False
  40. 40.Which of these is stage 2 (ask for help)? (a) ask for the steps (b) solve a new one alone (c) attempt it on paper (d) try the sum yourself

Answer key

  1. a prediction
  2. True
  3. very few examples
  4. it learns patterns
  5. an explanation
  6. clear
  7. smart study
  8. example
  9. improves with more data
  10. saying who made it
  11. have a go on your own
  12. asks for steps
  13. a real check
  14. rule-based
  15. not honest
  16. AI
  17. reading level
  18. Prompt A
  19. training data
  20. adds to bias
  21. writing quiz questions
  22. False
  23. past weather records
  24. not AI
  25. not a good source
  26. few child voices in data
  27. False
  28. split train and test
  29. people
  30. clear, sharp examples
  31. False
  32. same steps every time
  33. a background that bends
  34. a clear date
  35. a drawing you make
  36. fits other reports
  37. read the AI answer
  38. 136
  39. True
  40. ask for the steps

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