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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 435 · 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 is the odd one out? (a) shadows going two ways (b) fits other reports (c) blurry, melted text (d) a shocking headline
  2. 2.🪜 What does this prompt ask for? “Show your working for 15% of 240.” (a) asks for steps (b) asks only for the answer
  3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
  4. 4.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  5. 5.©️ Whose work is it: a map from an atlas? (a) someone else’s work (b) my own work
  6. 6.Which of these does not make a prompt better? (a) name the exact topic (b) write it in capitals (c) say what it is for (d) add a word limit
  7. 7.Which of these is a fact about AI? (a) confident means correct (b) AI can be wrong (c) AI always checks facts (d) AI knows everything
  8. 8.📲 Input, model or output: “your spoken words”? (a) the output (b) the model (c) the input
  9. 9.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
  10. 10.🔎 Checking an AI answer: which do you do first — fix your notes or find the same topic? (a) fix your notes (b) find the same topic
  11. 11.✍️ Clear or vague: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”? (a) vague (b) clear
  12. 12.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  13. 13.Which of these is not AI? (a) face unlock on a phone (b) a doorbell (c) a spam filter (d) a voice assistant
  14. 14.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) never learns from data (d) uses rules people wrote
  15. 15.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
  16. 16.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
  17. 17.🔎 Before sharing a surprising post, which comes first — report it if fake or look at the source? (a) report it if fake (b) look at the source
  18. 18.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) predicting (d) singing
  19. 19.📝 Honest use or copying: getting it to solve every sum without trying? (a) honest use (b) not honest
  20. 20.True or false: “Explain the difference between weather and climate with one example each.” is a clear prompt. (a) True (b) False
  21. 21.True or false: “Give me 5 multiple-choice questions on Chapter 4.” is asking for a practice quiz. (a) False (b) True
  22. 22.📷 The app replies “neem leaf”. That reply is the… (a) output (b) training data (c) input
  23. 23.🧮 An AI chatbot says 16 × 7 = 113. Check it yourself: what is 16 × 7?
  24. 24.📏 What kind of constraint is “in 2 lines only”? (a) a reading level (b) a length limit (c) a style or tone (d) what to include
  25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  26. 26.©️ Does this need credit: a classmate’s idea you used? (a) needs credit (b) your own work
  27. 27.🛠️ “Write about animals.” What would improve this prompt most? (a) make it shorter (b) name animal and format (c) add exclamation marks (d) write it in capitals
  28. 28.Which of these is a warning sign of a fake picture or story? (a) a named author (b) the original photo found (c) matches the textbook (d) “share before it’s gone”
  29. 29.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
  30. 30.Which of these describes how a normal program works? (a) uses rules people wrote (b) spots patterns in data (c) makes a best guess (d) learns from examples
  31. 31.©️ Does this need credit: a chart from a news report in your talk? (a) your own work (b) needs credit
  32. 32.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  33. 33.❌ Rohan’s handwriting reader was tested on 45 new handwritten letters and got 40 right. How many did it get wrong?
  34. 34.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
  35. 35.True or false: “asks to meet in person” is a red flag — stop and tell an adult. (a) False (b) True
  36. 36.True or false: “checking labels twice” is good for training a model. (a) False (b) True
  37. 37.Which of these sets the style or tone? (a) like a news report (b) include 2 Indian rivers (c) in under 50 words (d) add a fun fact
  38. 38.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  39. 39.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) use one group only (d) balance the data
  40. 40.🪜 What does this prompt ask for? “List the steps to make a paper boat.” (a) asks for steps (b) asks only for the answer

Answer key

  1. fits other reports
  2. asks for steps
  3. to see if it works
  4. True
  5. someone else’s work
  6. write it in capitals
  7. AI can be wrong
  8. the input
  9. artificial intelligence
  10. find the same topic
  11. clear
  12. False
  13. a doorbell
  14. learns from examples
  15. choose what to sort
  16. paper and examples
  17. look at the source
  18. predicting
  19. not honest
  20. True
  21. True
  22. output
  23. 112
  24. a length limit
  25. the model
  26. needs credit
  27. name animal and format
  28. “share before it’s gone”
  29. a text description
  30. uses rules people wrote
  31. needs credit
  32. False
  33. 5
  34. it may get it wrong
  35. True
  36. True
  37. like a news report
  38. False
  39. balance the data
  40. asks for steps

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