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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 318 · 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.📖 An AI chatbot gives a quote and a source. What should you do? (a) copy it straight away (b) check the source is real (c) add more quotes (d) delete your notes
  2. 2.🔒 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
  3. 3.True or false: a classmate’s idea you used needs credit (say where it came from). (a) False (b) True
  4. 4.🔎 Before sharing a surprising post, which comes first — compare with others or report it if fake? (a) compare with others (b) report it if fake
  5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  6. 6.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  7. 7.True or false: the request “explain it more simply” does the work for you. (a) False (b) True
  8. 8.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  9. 9.🔎 How can you check where a photo first came from? (a) a reverse image search (b) share it more (c) print it out (d) zoom in on it
  10. 10.Which of these is a warning sign of a fake picture or story? (a) fits other reports (b) the original photo found (c) a named author (d) too good to be true
  11. 11.🔍 Which is the odd one out? (a) clear, sharp examples (b) examples of every type (c) checking labels twice (d) very few examples
  12. 12.🎂 Ask an adult first, or fine to do yourself: closing an app that makes you uneasy? (a) fine to do yourself (b) ask an adult first
  13. 13.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
  14. 14.True or false: “rain sound effects for a play” asks for text. (a) False (b) True
  15. 15.©️ Whose work is it: a clay model I built? (a) someone else’s work (b) my own work
  16. 16.🛠️ Which is the improved prompt?
    A: “Quiz on space.”
    B: “Write a 5-question true-or-false quiz on the solar system with answers.”
    (a) Prompt A (b) Prompt B
  17. 17.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  18. 18.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  19. 19.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
  20. 20.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  21. 21.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  22. 22.Which of these is a good sign (but still check)? (a) “share before it’s gone” (b) many trusted sources (c) shadows going two ways (d) six fingers on a hand
  23. 23.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
  24. 24.📏 What kind of constraint is “in 3 sentences or fewer”? (a) what to include (b) a reading level (c) a style or tone (d) a length limit
  25. 25.🛠️ Does this make a weak prompt better: add unrelated details? (a) a good fix (b) not a fix
  26. 26.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  27. 27.🔍 Which is the odd one out? (a) an image generator (b) video suggestions (c) photos grouped by face (d) a printed timetable
  28. 28.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  29. 29.🎂 Where can you find an app’s age rule? (a) nowhere (b) in the weather report (c) on its logo (d) its terms or rules page
  30. 30.True or false: “Tell me the area, no explanation.” asks only for the final answer. (a) True (b) False
  31. 31.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
  32. 32.✍️ Which prompt is clearer?
    A: “Explain fractions to a Class 4 student using a pizza example.”
    B: “Teach me maths.”
    (a) Prompt A (b) Prompt B
  33. 33.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) True (b) False
  34. 34.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recommending (c) recognising (d) predicting
  35. 35.True or false: “Act as my spelling coach.” is the format part of a prompt. (a) False (b) True
  36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  37. 37.⏩ When you use an AI app, which happens first: the model finds patterns or you upload a photo? (a) the model finds patterns (b) you upload a photo
  38. 38.True or false: “leave out the topic” makes a weak prompt better. (a) True (b) False
  39. 39.Which of these is a good source to check against? (a) a funny meme (b) a random comment (c) your teacher (d) a forwarded message
  40. 40.Which of these sets the style or tone? (a) include 2 Indian rivers (b) for a Class 3 student (c) in a friendly tone (d) no hard science words

Answer key

  1. check the source is real
  2. no, never
  3. True
  4. compare with others
  5. the model
  6. makes something new
  7. False
  8. True
  9. a reverse image search
  10. too good to be true
  11. very few examples
  12. fine to do yourself
  13. correct ÷ total × 100
  14. False
  15. my own work
  16. Prompt B
  17. AI
  18. label each example
  19. predicting
  20. data, model, prediction
  21. AI
  22. many trusted sources
  23. no
  24. a length limit
  25. not a fix
  26. a normal program
  27. a printed timetable
  28. a fact
  29. its terms or rules page
  30. True
  31. the right answer tag
  32. Prompt A
  33. True
  34. generating
  35. False
  36. bias from data
  37. you upload a photo
  38. False
  39. your teacher
  40. in a friendly tone

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