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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 763 · 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.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
  2. 2.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
  3. 3.🛠️ Which is the improved prompt?
    A: “Explain how a seed grows into a plant in 5 numbered steps for Class 4.”
    B: “How do seeds grow?”
    (a) Prompt A (b) Prompt B
  4. 4.True or false: a music app suggesting a song you may like is AI recognising something. (a) False (b) True
  5. 5.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
  6. 6.🧩 Which part of a prompt is this? “Answer in 3 bullet points.” (a) format (b) context (c) role (d) task
  7. 7.🛠️ Which is the improved prompt?
    A: “Describe a rainforest in 80 words for a story opening, using all five senses.”
    B: “Describe a forest.”
    (a) Prompt A (b) Prompt B
  8. 8.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) use one group only (d) copy old unfair choices
  9. 9.🖼️ Warning sign or good sign: mismatched earrings? (a) a good sign (b) a warning sign
  10. 10.✍️ Clear or vague: “Trip list.”? (a) clear (b) vague
  11. 11.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  12. 12.🔍 Which is the odd one out? (a) “do my worksheet” (b) “give me a hint” (c) “finish my homework” (d) “solve my test paper”
  13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
  14. 14.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
  16. 16.Which of these is NOT a good source to check against? (a) a science museum site (b) an encyclopedia (c) a rumour from a friend (d) your school textbook
  17. 17.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  18. 18.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recognising (b) predicting (c) recommending (d) generating
  19. 19.Which of these is a warning sign of a fake picture or story? (a) six fingers on a hand (b) a named author (c) matches the textbook (d) a clear date
  20. 20.📷 In a plant-spotting app, your leaf photo is the… (a) output (b) input (c) model
  21. 21.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) naming a new leaf (d) old emails marked spam
  22. 22.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  23. 23.🔎 Before sharing a surprising post, which comes first — check the author or report it if fake? (a) check the author (b) report it if fake
  24. 24.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) suggesting a video (c) unlocking with a face (d) composing a new tune
  25. 25.✍️ Which prompt is clearer?
    A: “Tell me about laws.”
    B: “Describe how a bill becomes a law in India in 5 simple steps.”
    (a) Prompt A (b) Prompt B
  26. 26.📝 Your school says no AI for this essay. What should you do? (a) follow the rule (b) use it secretly (c) skip the essay (d) copy a friend
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  28. 28.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
  29. 29.📝 Honest use or copying: handing in an essay it wrote as your own? (a) honest use (b) not honest
  30. 30.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  31. 31.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  32. 32.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  33. 33.🔒 Can you upload a photo of your friend to an AI app? (a) yes, any time (b) yes, if it is funny (c) no, never
  34. 34.🔍 Which is the odd one out? (a) predicting rain (b) drafting a letter (c) creating a cartoon (d) composing a new tune
  35. 35.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
  36. 36.True or false: “I have a test on Friday.” is the example part of a prompt. (a) False (b) True
  37. 37.Which of these sets a length limit? (a) in very simple words (b) for a Class 3 student (c) in under 50 words (d) with one example
  38. 38.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  39. 39.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  40. 40.True or false: “admits it is unsure” is a red flag — stop and tell an adult. (a) True (b) False

Answer key

  1. False
  2. correct ÷ total × 100
  3. Prompt A
  4. False
  5. more varied data
  6. format
  7. Prompt A
  8. ask different people
  9. a warning sign
  10. vague
  11. sorts or predicts
  12. “give me a hint”
  13. many labelled photos
  14. True
  15. more labelled examples
  16. a rumour from a friend
  17. a fact
  18. recommending
  19. six fingers on a hand
  20. input
  21. old emails marked spam
  22. a myth
  23. check the author
  24. composing a new tune
  25. Prompt B
  26. follow the rule
  27. a prediction
  28. False
  29. not honest
  30. a real check
  31. False
  32. data, model, prediction
  33. no, never
  34. predicting rain
  35. choose what to sort
  36. False
  37. in under 50 words
  38. not a real check
  39. one-sided data
  40. False

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