AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 25 · 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.⏩ When you use an AI app, which happens first: the label “cat” shows or the model finds patterns? (a) the label “cat” shows (b) the model finds patterns
2. 2.True or false: “in 3 sentences or fewer” says what to include. (a) False (b) True
3. 3.✍️ Clear or vague: “Give me a 5-question quiz on nouns from Chapter 2, then show the answers.”? (a) clear (b) vague
4. 4.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
5. 5.🧩 Which part of a prompt is this? “Check my essay for spelling mistakes.” (a) format (b) role (c) task (d) context
6. 6.©️ Does this need credit: a picture made with an image generator in your project? (a) your own work (b) needs credit
7. 7.🏷️ 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
8. 8.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
9. 9.©️ What does “giving credit” mean? (a) saying who made it (b) paying with a card (c) adding a filter (d) hiding the source
10. 10.Which of these sets a length limit? (a) for a 9-year-old (b) in under 50 words (c) like a news report (d) in a friendly tone
11. 11.🖼️ Warning sign or good sign: fits other reports? (a) a good sign (b) a warning sign
12. 12.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
13. 13.True or false: “Turn these 10 words into question-and-answer cards.” is asking for flashcards. (a) False (b) True
14. 14.📏 What kind of constraint is “like a news report”? (a) a reading level (b) a style or tone (c) what to include (d) a length limit
15. 15.🧩 “Act as a patient science teacher.” This sets the… (a) role (b) format (c) example (d) word limit
16. 16.True or false: “naming a new leaf” is training data. (a) False (b) True
17. 17.Which of these is a poor way to study with AI? (a) check summaries in books (b) make your own cards too (c) asking only for answers (d) ask why, not just what
18. 18.💬 Rule-based or learning chatbot: “builds its own replies”? (a) rule-based (b) learning
19. 19.✍️ Which prompt is clearer?
    A: “Give me a 5-question quiz on nouns from Chapter 2, then show the answers.”
    B: “Test me.” (a) Prompt A (b) Prompt B
20. 20.💬 Does this request help you learn, or do the work for you? “explain it more simply” (a) helps you learn (b) does it for you
21. 21.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
22. 22.📷 In a plant-spotting app, your leaf photo is the… (a) output (b) input (c) model
23. 23.🛠️ Does this make a weak prompt better: give an example? (a) not a fix (b) a good fix
24. 24.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) predicting (c) generating (d) recommending
25. 25.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
26. 26.🔎 Checking an AI answer: which do you do first — correct the mistakes or underline each fact? (a) correct the mistakes (b) underline each fact
27. 27.🧩 Which part of a prompt says WHAT you want done? (a) the role (b) the format (c) the task (d) the example
28. 28.©️ You use an AI-made picture in a school project. What should you write? (a) your own name only (b) nothing at all (c) a friend’s name (d) “made with AI”
29. 29.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
30. 30.True or false: an app asking for your location means you should ask a parent or teacher first. (a) False (b) True
31. 31.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
32. 32.🧮 An AI chatbot says 27 × 9 = 233. Check it yourself: what is 27 × 9?
33. 33.🔍 Which is the odd one out? (a) long answers are true (b) AI learns from data (c) AI can make up facts (d) AI can mix up numbers
34. 34.💬 Does this request help you learn, or do the work for you? “make practice sums” (a) helps you learn (b) does it for you
35. 35.True or false: “a history question” is okay to share with an AI chatbot. (a) False (b) True
36. 36.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) labelled fruit photos (d) tomorrow’s rain guess
37. 37.🖼️ Warning sign or good sign: many trusted sources? (a) a good sign (b) a warning sign
38. 38.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
39. 39.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ignore complaints (d) add varied examples
40. 40.✔️ An AI chatbot says 15 × 3 = 35. Is that correct or wrong? (a) correct (b) wrong

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