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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 879 · 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.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  3. 3.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  4. 4.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
  5. 5.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
  6. 6.True or false: “Project ideas.” is a clear prompt. (a) False (b) True
  7. 7.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  8. 8.©️ Can you sell copies of someone else’s comic? (a) yes, any time (b) yes, if you colour it (c) not without permission
  9. 9.📦 Tara collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  10. 10.Which of these is the output? (a) the trained AI part (b) the typed reply (c) your spoken words (d) a tune you hum
  11. 11.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) spots patterns in data (d) never learns from data
  12. 12.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  13. 13.📰 Before you share a shocking news post, you should… (a) share it fast (b) add more emojis (c) forward to all (d) check trusted sources
  14. 14.📦 Diya collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  15. 15.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
  16. 16.🔒 Keep it private or okay to share with an AI chatbot: a topic for a quiz? (a) keep it private (b) okay to share
  17. 17.True or false: “learns from examples” describes a learning chatbot. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  19. 19.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  21. 21.📏 What kind of constraint is “for a 9-year-old”? (a) a reading level (b) a style or tone (c) a length limit (d) what to include
  22. 22.True or false: joining an online AI contest means you should ask a parent or teacher first. (a) True (b) False
  23. 23.🪜 What does this prompt ask for? “Skip the working, what is 7 × 8?” (a) asks only for the answer (b) asks for steps
  24. 24.🔍 Which is the odd one out? (a) drafting a letter (b) turning speech to text (c) composing a new tune (d) writing quiz questions
  25. 25.✍️ Which prompt is clearer?
    A: “Make it short.”
    B: “Summarise this paragraph about volcanoes in 3 bullet points for revision.”
    (a) Prompt A (b) Prompt B
  26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  27. 27.🗂️ What study help is this prompt asking for? “Make 8 cards on the parts of a flower.” (a) flashcards (b) a practice quiz (c) a summary (d) an explanation
  28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  29. 29.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
  30. 30.True or false: “leave out the topic” does not make a prompt better. (a) False (b) True
  31. 31.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  32. 32.🔍 Which is the odd one out? (a) a clear date (b) six fingers on a hand (c) matches the textbook (d) fits other reports
  33. 33.🚩 A study chatbot asks for photos of you. Is that a red flag? (a) a red flag (b) normal
  34. 34.©️ Does this need credit: a quote from a library book in your essay? (a) your own work (b) needs credit
  35. 35.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
  36. 36.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  37. 37.🔍 Which is the odd one out? (a) “do my worksheet” (b) “check my draft” (c) “solve my test paper” (d) “write my project”
  38. 38.Which of these uses AI? (a) an AI chatbot (b) a calculator (c) a microwave timer (d) a light switch
  39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
  40. 40.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) text (c) an image

Answer key

  1. data, model, prediction
  2. the trained program
  3. its training data
  4. True
  5. False
  6. False
  7. sorts or predicts
  8. not without permission
  9. 128
  10. the typed reply
  11. spots patterns in data
  12. a myth
  13. check trusted sources
  14. 88
  15. rule-based
  16. okay to share
  17. True
  18. a prediction
  19. adds to bias
  20. one-sided data
  21. a reading level
  22. True
  23. asks only for the answer
  24. turning speech to text
  25. Prompt B
  26. balanced data
  27. flashcards
  28. training data
  29. correct ÷ total × 100
  30. True
  31. a real check
  32. six fingers on a hand
  33. a red flag
  34. needs credit
  35. False
  36. try unseen examples
  37. “check my draft”
  38. an AI chatbot
  39. 5
  40. music or sound

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