AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 216 · 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.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
2. 2.Which of these is stage 2 (ask for help)? (a) have a go on your own (b) try the sum yourself (c) solve a new one alone (d) ask for one hint
3. 3.Which of these is a smart way to study with AI? (a) trusting every summary (b) last-night cramming (c) check summaries in books (d) reading answers only
4. 4.True or false: “use one group only” helps reduce bias. (a) True (b) False
5. 5.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a hallucination (c) a summary (d) a backup
6. 6.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
7. 7.True or false: “a history question” is okay to share with an AI chatbot. (a) False (b) True
8. 8.🧩 Which part of a prompt is this? “Act as a friendly maths tutor.” (a) format (b) role (c) task (d) context
9. 9.True or false: “a chart from the news” is my own work. (a) True (b) False
10. 10.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
12. 12.✍️ Which prompt is clearer?
    A: “List 6 science fair ideas about water that use cheap materials.”
    B: “Project ideas.” (a) Prompt A (b) Prompt B
13. 13.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
14. 14.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
15. 15.🧩 “Answer in a table.” This part of a prompt is the… (a) task (b) format (c) context (d) role
16. 16.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) skip testing (d) fix wrong labels
17. 17.📝 Honest use or copying: using it in a test when that is not allowed? (a) honest use (b) not honest
18. 18.🔍 Which is the odd one out? (a) long answers are true (b) AI can be wrong (c) AI always checks facts (d) AI is never wrong
19. 19.🔍 Which is the odd one out? (a) new data for testing (b) blurry, unclear photos (c) labels added at random (d) testing on training data
20. 20.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) spotting a sick leaf (c) spotting spam (d) reading number plates
21. 21.✍️ Clear or vague: “Explain why the sky looks blue in under 60 words for a 10-year-old.”? (a) clear (b) vague
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
23. 23.Which of these sets a length limit? (a) for a Class 3 student (b) in a formal tone (c) in 3 sentences or fewer (d) with one example
24. 24.True or false: “flagging a new email” is training data. (a) False (b) True
25. 25.True or false: “Summarise this paragraph.” is the task part of a prompt. (a) False (b) True
26. 26.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
27. 27.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 47 right. What is its accuracy in percent?
28. 28.🔒 What can you safely ask an AI chatbot? (a) your home address (b) your bank PIN (c) a friend’s phone number (d) a science doubt
29. 29.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
30. 30.Which of these is stage 3 (practise alone)? (a) try the sum yourself (b) try a similar sum alone (c) have a go on your own (d) ask how to start
31. 31.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.🖼️ Warning sign or good sign: a clear date? (a) a warning sign (b) a good sign
33. 33.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
34. 34.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
35. 35.True or false: asking it to explain a sum you got wrong is NOT honest use. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) an AI chatbot (b) a calculator (c) a light switch (d) a microwave timer
37. 37.🔍 Which is the odd one out? (a) split into small asks (b) name the exact topic (c) leave out the topic (d) give an example
38. 38.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
39. 39.Which of these is a smart way to study with AI? (a) trusting every summary (b) last-night cramming (c) copying cards unread (d) make your own cards too
40. 40.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True

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