AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 6 · 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 part of a prompt says WHAT you want done? (a) the format (b) the role (c) the task (d) the example
2. 2.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
3. 3.Which of these is the input? (a) the generated picture (b) the patterns it learned (c) a drawing you make (d) the translated text
4. 4.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) photos in many lights (d) only one kind of example
5. 5.Which of these is a red flag — stop and tell an adult? (a) admits it is unsure (b) asks your class level (c) offers a quiz (d) urges you to click links
6. 6.📝 What is the best way to use AI for a hard maths chapter? (a) copy its answers (b) avoid the chapter (c) ask it to do all sums (d) ask it to explain
7. 7.📖 Which is the most trusted source for a school fact? (a) your textbook (b) a random comment (c) a funny meme (d) a chain message
8. 8.❌ Saanvi’s fruit sorter was tested on 21 new fruit photos and got 20 right. How many did it get wrong?
9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
10. 10.Which of these describes how AI works? (a) one set rule per case (b) uses rules people wrote (c) makes a best guess (d) same steps every time
11. 11.True or false: getting it to solve every sum without trying is NOT honest use. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) fix wrong labels
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
14. 14.📝 Honest use or copying: asking it to explain a sum you got wrong? (a) honest use (b) not honest
15. 15.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
16. 16.True or false: “naming a new leaf” is the model. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) test on one group only (d) balance the data
18. 18.📚 Smart or poor way to study with AI: short study sessions? (a) smart study (b) poor study
19. 19.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
20. 20.💬 What do we call the request you type to a generative AI? (a) a password (b) a prompt (c) a battery (d) a label
21. 21.🧩 Which part of a prompt is this? “Explain how rainbows form.” (a) format (b) role (c) task (d) example
22. 22.Which of these requests helps you learn? (a) “answer all 10 sums” (b) “explain this step” (c) “solve my test paper” (d) “write my diary entry”
23. 23.Which of these is stage 1 (try it yourself)? (a) have a go on your own (b) ask for one hint (c) ask for the steps (d) ask how to start
24. 24.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
25. 25.🔎 Checking an AI answer: which do you do first — correct the mistakes or match every number? (a) correct the mistakes (b) match every number
26. 26.🏷️ 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
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
28. 28.🔒 Can you upload a photo of your friend to an AI app? (a) no, never (b) yes, any time (c) yes, if it is funny
29. 29.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
30. 30.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
31. 31.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
32. 32.Which of these is okay to share with an AI chatbot? (a) your password (b) a bank card number (c) your live location (d) a science question
33. 33.🔁 Learning a hard sum with AI: which should you do first — ask how to start or try a similar sum alone? (a) ask how to start (b) try a similar sum alone
34. 34.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) ask it to hurry (c) never do maths (d) copy it straight away
35. 35.🧮 An AI chatbot adds 51 + 43 + 54 and gets 138. What is the correct total?
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is not AI? (a) an image generator (b) photos grouped by face (c) a printed timetable (d) video suggestions
38. 38.📚 Usually, more good examples make a model… (a) better at its task (b) slower to switch on (c) forget everything (d) change colour
39. 39.🚩 A study chatbot offers a quiz. Is that a red flag? (a) a red flag (b) normal
40. 40.Which of these is generative AI (it makes something new)? (a) making up a story (b) suggesting a video (c) spotting a sick leaf (d) spotting spam

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