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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 875 · 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.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  2. 2.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  3. 3.✍️ Clear or vague: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”? (a) vague (b) clear
  4. 4.🔍 Which is the odd one out? (a) AI has real feelings (b) AI answers need checking (c) AI copies data patterns (d) AI can make up facts
  5. 5.🛠️ Which is the improved prompt?
    A: “How do seeds grow?”
    B: “Explain how a seed grows into a plant in 5 numbered steps for Class 4.”
    (a) Prompt A (b) Prompt B
  6. 6.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
  7. 7.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
  8. 8.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
  9. 9.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
  10. 10.🔁 What is the right order in a simple AI app? (a) input → model → output (b) model → output → input (c) output → input → model
  11. 11.True or false: “Explain how rainbows form.” is the context part of a prompt. (a) True (b) False
  12. 12.🧩 Why add an example to a prompt? (a) to show the style (b) to hide the task (c) to make it longer (d) to confuse the AI
  13. 13.True or false: “for a 9-year-old” sets the reading level. (a) False (b) True
  14. 14.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  15. 15.Which of these is okay to share with an AI chatbot? (a) a one-time password (b) a grammar doubt (c) your phone number (d) your name and school
  16. 16.Which of these is a red flag — stop and tell an adult? (a) asks for a password (b) gives an example (c) suggests practice (d) admits it is unsure
  17. 17.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) past weather records (d) the learned patterns
  18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  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.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can be wrong (c) AI copies data patterns (d) AI answers need checking
  21. 21.📚 Smart or poor way to study with AI: ask why, not just what? (a) poor study (b) smart study
  22. 22.📖 An AI chatbot gives a quote and a source. What should you do? (a) delete your notes (b) add more quotes (c) check the source is real (d) copy it straight away
  23. 23.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  24. 24.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) flagging a new email (d) labelled fruit photos
  25. 25.🔎 Checking an AI answer: which do you do first — match every number or underline each fact? (a) match every number (b) underline each fact
  26. 26.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  28. 28.🏷️ 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
  29. 29.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) singing (d) drawing
  30. 30.True or false: “past weather records” is training data. (a) True (b) False
  31. 31.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
  32. 32.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
  33. 33.🗂️ What is the best way to use an AI practice quiz? (a) copy the answers (b) read the answers first (c) skip hard ones (d) answer before checking
  34. 34.Which of these is bad for training a model? (a) new data for testing (b) only one kind of example (c) clear, sharp examples (d) correct labels
  35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  36. 36.True or false: “Fix it.” is a clear prompt. (a) True (b) False
  37. 37.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  38. 38.©️ What does “giving credit” mean? (a) adding a filter (b) paying with a card (c) saying who made it (d) hiding the source
  39. 39.Which of these requests helps you learn? (a) “solve my test paper” (b) “do my worksheet” (c) “make practice sums” (d) “write my diary entry”
  40. 40.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) AI can be wrong (d) confident means correct

Answer key

  1. the model
  2. AI
  3. clear
  4. AI has real feelings
  5. Prompt B
  6. False
  7. True
  8. no, it finds patterns
  9. False
  10. input → model → output
  11. False
  12. to show the style
  13. True
  14. 30
  15. a grammar doubt
  16. asks for a password
  17. past weather records
  18. training data
  19. not a real check
  20. AI is never wrong
  21. smart study
  22. check the source is real
  23. not a real check
  24. flagging a new email
  25. underline each fact
  26. a real check
  27. few child voices in data
  28. not spam
  29. predicting
  30. True
  31. naming a new fruit photo
  32. True
  33. answer before checking
  34. only one kind of example
  35. True
  36. False
  37. 10
  38. saying who made it
  39. “make practice sums”
  40. confident means correct

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