AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 203 · 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 is not AI? (a) photos grouped by face (b) a torch (c) face unlock on a phone (d) a voice assistant
2. 2.📏 What kind of constraint is “in a friendly tone”? (a) a reading level (b) what to include (c) a length limit (d) a style or tone
3. 3.Which of these does not make a prompt better? (a) add exclamation marks (b) say what it is for (c) add a word limit (d) add your class level
4. 4.✍️ Which prompt is clearer?
   A: “Write a message.”
   B: “Write a polite 3-line message asking my teacher for extra practice sheets.” (a) Prompt A (b) Prompt B
5. 5.🎂 A chatbot message makes you feel uneasy. What should you do? (a) keep chatting (b) stop and tell an adult (c) reply rudely (d) keep it a secret
6. 6.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) “explain it more simply” (b) “solve my test paper” (c) “define ‘orbit’ for me” (d) “explain this step”
8. 8.True or false: a photo you took on the school trip is your own work (no credit needed). (a) False (b) True
9. 9.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
10. 10.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) recorded spoken words (d) typing a new spoken word
11. 11.©️ Does this need credit: a chart from a news report in your talk? (a) needs credit (b) your own work
12. 12.🧩 Which part of a prompt is this? “Write it as a short dialogue.” (a) task (b) format (c) role (d) context
13. 13.Which of these is bad for training a model? (a) very few examples (b) correct labels (c) new data for testing (d) photos in many lights
14. 14.🛠️ The AI answer was too hard to read. What should you add? (a) your class level (b) capital letters (c) nothing at all (d) more emojis
15. 15.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
16. 16.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) turning speech to text (c) sorting photos by face (d) writing a new poem
17. 17.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a password (c) a picture (d) a length limit
18. 18.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
19. 19.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
20. 20.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
21. 21.✍️ Clear or vague: “Write a poem.”? (a) clear (b) vague
22. 22.💬 Does this request help you learn, or do the work for you? “quiz me on Chapter 3” (a) does it for you (b) helps you learn
23. 23.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
24. 24.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) the learned patterns (d) 500 labelled leaf photos
25. 25.True or false: “a poem I wrote” is my own work. (a) True (b) False
26. 26.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) a sticker on a laptop (d) the font size
27. 27.📦 Ishaan collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) reading number plates (b) creating a cartoon (c) writing a new poem (d) composing a new tune
29. 29.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) recommending (c) generating (d) predicting
30. 30.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
31. 31.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
32. 32.True or false: “in 2 lines only” sets the reading level. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
34. 34.True or false: “what training builds” is training data. (a) False (b) True
35. 35.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) add varied examples (d) check who is missing
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
37. 37.True or false: the request “where did I go wrong?” does the work for you. (a) False (b) True
38. 38.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) testing on training data (d) photos in many lights
39. 39.Which of these is my own work? (a) a quote from a book (b) a cartoon from a comic (c) a photo from a website (d) a poem I wrote
40. 40.True or false: signing up for a new AI app means you should ask a parent or teacher first. (a) False (b) True

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