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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 797 · 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: an app asking for your date of birth means you should ask a parent or teacher first. (a) False (b) True
  2. 2.True or false: “Answer only: what is x if 3x + 5 = 20?” asks the AI to show the steps. (a) False (b) True
  3. 3.True or false: the request “solve my test paper” does the work for you. (a) True (b) False
  4. 4.🎂 Ask an adult first, or fine to do yourself: joining an online AI contest? (a) fine to do yourself (b) ask an adult first
  5. 5.True or false: “examples of every type” is good for training a model. (a) False (b) True
  6. 6.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  7. 7.©️ Does this need credit: a fact from a science magazine in your report? (a) needs credit (b) your own work
  8. 8.📝 What is the best way to use AI for a hard maths chapter? (a) copy its answers (b) ask it to explain (c) avoid the chapter (d) ask it to do all sums
  9. 9.True or false: “for a 9-year-old” sets a length limit. (a) True (b) False
  10. 10.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) recorded spoken words
  11. 11.🛠️ Does this make a weak prompt better: type it twice? (a) not a fix (b) a good fix
  12. 12.True or false: “Project ideas.” is a vague prompt. (a) True (b) False
  13. 13.True or false: “Explain why ice floats, in simple words.” is asking for an explanation. (a) False (b) True
  14. 14.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  15. 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  16. 16.True or false: “many varied examples” is good for training a model. (a) False (b) True
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  20. 20.✍️ Which prompt is clearer?
    A: “Explain the difference between weather and climate with one example each.”
    B: “Weather?”
    (a) Prompt A (b) Prompt B
  21. 21.🗂️ 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
  22. 22.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) correct labels (d) many varied examples
  23. 23.🗂️ An AI flashcard has a wrong fact. What should you do? (a) ignore it (b) correct the card (c) learn it anyway (d) throw all cards away
  24. 24.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  25. 25.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  26. 26.📷 The app replies “neem leaf”. That reply is the… (a) training data (b) output (c) input
  27. 27.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  28. 28.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) same steps every time (d) gives a likely answer
  29. 29.🧮 An AI chatbot says 15 × 7 = 104. Check it yourself: what is 15 × 7?
  30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  31. 31.🔒 Can you upload a photo of your friend to an AI app? (a) no, never (b) yes, any time (c) yes, if it is funny
  32. 32.©️ Whose work is it: a classmate’s drawing? (a) someone else’s work (b) my own work
  33. 33.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) testing on training data (d) new data for testing
  34. 34.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  35. 35.True or false: a poem you wrote yourself is your own work (no credit needed). (a) True (b) False
  36. 36.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
  38. 38.True or false: “List 3 causes of floods in simple words, one line each.” is a vague prompt. (a) False (b) True
  39. 39.True or false: “For example: cat → billi” is the example part of a prompt. (a) True (b) False
  40. 40.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough

Answer key

  1. True
  2. False
  3. True
  4. ask an adult first
  5. True
  6. a myth
  7. needs credit
  8. ask it to explain
  9. False
  10. tomorrow’s rain guess
  11. not a fix
  12. True
  13. True
  14. makes something new
  15. good for training
  16. True
  17. not spam
  18. the learned patterns
  19. training data
  20. Prompt A
  21. answer before checking
  22. labels added at random
  23. correct the card
  24. needs AI (learning)
  25. what training builds
  26. output
  27. True
  28. same steps every time
  29. 105
  30. spam
  31. no, never
  32. someone else’s work
  33. testing on training data
  34. test on new photos
  35. True
  36. a fact
  37. not spam
  38. False
  39. True
  40. needs AI (learning)

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