AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 461 · 40 questions

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.

1. 1.📝 You used AI to get ideas for a project. What is honest? (a) say how you used it (b) blame the AI (c) hide it (d) say it is all yours
2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
3. 3.True or false: “in 3 sentences or fewer” sets a length limit. (a) True (b) False
4. 4.©️ Whose work is it: a photo from a website? (a) my own work (b) someone else’s work
5. 5.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) checking labels twice (d) testing on training data
6. 6.©️ Does this need credit: a chart from a news report in your talk? (a) needs credit (b) your own work
7. 7.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
8. 8.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
9. 9.True or false: an online shop showing “you may also like” is AI recognising something. (a) True (b) False
10. 10.📏 What kind of constraint is “in under 50 words”? (a) what to include (b) a reading level (c) a length limit (d) a style or tone
11. 11.📝 Honest use or copying: asking it to quiz you before a test? (a) honest use (b) not honest
12. 12.🖼️ Warning sign or good sign: a named author? (a) a warning sign (b) a good sign
13. 13.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) use one group only (d) copy old unfair choices
14. 14.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) ignore complaints (d) test on one group only
15. 15.🗂️ An AI made you a summary. What should you do next? (a) check it with the book (b) share it as yours (c) delete the book (d) learn it blindly
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
17. 17.🔍 Which is the odd one out? (a) “make practice sums” (b) “define ‘orbit’ for me” (c) “finish my homework” (d) “explain this step”
18. 18.True or false: “a friend’s secret” is okay to share with an AI chatbot. (a) False (b) True
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
20. 20.Which of these is stage 1 (try it yourself)? (a) ask for the steps (b) do one more on your own (c) try a similar sum alone (d) try the sum yourself
21. 21.📏 What kind of constraint is “like a news report”? (a) a length limit (b) what to include (c) a reading level (d) a style or tone
22. 22.📏 What kind of constraint is “in 3 sentences or fewer”? (a) a reading level (b) a style or tone (c) a length limit (d) what to include
23. 23.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
24. 24.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
25. 25.Which of these is a warning sign of a fake picture or story? (a) fits other reports (b) no date or author (c) a clear date (d) matches the textbook
26. 26.🔍 Which is the odd one out? (a) AI always checks facts (b) AI can be wrong (c) AI can mix up numbers (d) AI can make up facts
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
28. 28.📰 Before you share a shocking news post, you should… (a) add more emojis (b) forward to all (c) check trusted sources (d) share it fast
29. 29.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
30. 30.True or false: “old emails marked spam” is the model. (a) True (b) False
31. 31.🔒 Keep it private or okay to share with an AI chatbot: a chapter name? (a) keep it private (b) okay to share
32. 32.©️ Does this need credit: a photo you took on the school trip? (a) your own work (b) needs credit
33. 33.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) improves with more data (d) same steps every time
34. 34.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
35. 35.🧩 “Answer in a table.” This part of a prompt is the… (a) context (b) format (c) task (d) role
36. 36.🔍 Which is the odd one out? (a) add exclamation marks (b) use unclear slang (c) say the format you want (d) add unrelated details
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
38. 38.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
40. 40.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?

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