AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 184 · 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.Which of these requests helps you learn? (a) “check my draft” (b) “write my essay” (c) “answer all 10 sums” (d) “write my poem for me”
2. 2.💬 Rule-based or learning chatbot: “easy to trace why”? (a) learning (b) rule-based
3. 3.🖼️ Warning sign or good sign: blurry, melted text? (a) a good sign (b) a warning sign
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
5. 5.©️ Whose work is it: a poet’s famous poem? (a) my own work (b) someone else’s work
6. 6.🔍 Which is the odd one out? (a) a friend’s secret (b) a maths sum to explain (c) your password (d) your school ID number
7. 7.True or false: “add lots of emojis” does not make a prompt better. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
9. 9.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
10. 10.🪜 Before asking AI for steps on homework, you should first… (a) try it yourself (b) copy a friend (c) ask for the answer (d) give up
11. 11.🧮 An AI chatbot adds 31 + 50 + 45 and gets 125. What is the correct total?
12. 12.©️ Does this need credit: a chart you made from your own data? (a) needs credit (b) your own work
13. 13.📏 What kind of constraint is “answers at the end”? (a) a reading level (b) a length limit (c) what to include (d) a style or tone
14. 14.🔍 Which is the odd one out? (a) a digital watch (b) a stopwatch (c) a map predicting traffic (d) a calculator
15. 15.Which of these is a good source to check against? (a) a rumour from a friend (b) the same chatbot again (c) your school textbook (d) a forwarded message
16. 16.📷 The app replies “neem leaf”. That reply is the… (a) output (b) input (c) training data
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
18. 18.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
19. 19.🎂 Ask an adult first, or fine to do yourself: joining an online AI contest? (a) fine to do yourself (b) ask an adult first
20. 20.Which of these is stage 1 (try it yourself)? (a) try a similar sum alone (b) have a go on your own (c) ask for the steps (d) ask how to start
21. 21.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) check who is missing (d) ignore complaints
22. 22.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI is never wrong (c) AI answers need checking (d) AI can mix up numbers
23. 23.🔒 Keep it private or okay to share with an AI chatbot: your home address? (a) keep it private (b) okay to share
24. 24.📖 Which is the most trusted source for a school fact? (a) a funny meme (b) a chain message (c) a random comment (d) your textbook
25. 25.✍️ Clear or vague: “Summarise this paragraph about volcanoes in 3 bullet points for revision.”? (a) clear (b) vague
26. 26.🔍 Which is the odd one out? (a) asks to meet in person (b) gives an example (c) asks you to check facts (d) offers a quiz
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
28. 28.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
29. 29.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
30. 30.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
31. 31.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
32. 32.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
33. 33.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
34. 34.🧮 An AI chatbot says 20 × 6 = 119. Check it yourself: what is 20 × 6?
35. 35.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) copy old unfair choices (d) test on many groups
36. 36.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) flagging a new email
37. 37.🗂️ What study help is this prompt asking for? “Give me the main idea of this paragraph in one line.” (a) flashcards (b) a summary (c) an explanation (d) a practice quiz
38. 38.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
39. 39.🛠️ The answer was far too long. What should you add? (a) a word limit (b) more questions (c) a new topic (d) a password
40. 40.True or false: “many varied examples” is good for training a model. (a) False (b) True

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