AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 549 · 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 a smart way to study with AI? (a) last-night cramming (b) reading answers only (c) asking only for answers (d) short study sessions
2. 2.True or false: entering its poem in a writing competition as yours is NOT honest use. (a) True (b) False
3. 3.🔎 Checking an AI answer: which do you do first — underline each fact or find the same topic? (a) underline each fact (b) find the same topic
4. 4.🧩 Which part of a prompt is this? “Answer in 3 bullet points.” (a) task (b) role (c) format (d) context
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
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.True or false: “a poet’s famous poem” is my own work. (a) False (b) True
8. 8.🎂 A chatbot message makes you feel uneasy. What should you do? (a) keep it a secret (b) reply rudely (c) stop and tell an adult (d) keep chatting
9. 9.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing quiz questions (c) spotting a sick leaf (d) inventing a recipe
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
12. 12.🧩 “Answer in a table.” This part of a prompt is the… (a) context (b) format (c) task (d) role
13. 13.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
14. 14.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
15. 15.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
16. 16.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
17. 17.📏 “Explain in simple words for a 10-year-old.” This sets the… (a) battery level (b) page number (c) reading level (d) font colour
18. 18.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) your home address (b) a friend’s secret (c) a riddle to solve (d) a one-time password
20. 20.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a random emoji (b) a password (c) context (d) more capitals
21. 21.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
23. 23.✍️ Clear or vague: “Trip list.”? (a) clear (b) vague
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
25. 25.Which of these is stage 1 (try it yourself)? (a) solve a new one alone (b) try a similar sum alone (c) do one more on your own (d) have a go on your own
26. 26.Which of these is a fact about AI? (a) AI knows everything (b) AI learns from data (c) confident means correct (d) AI always checks facts
27. 27.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
28. 28.Which of these is normal for a study chatbot? (a) asks for your address (b) asks you to check facts (c) urges you to click links (d) asks for money
29. 29.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) your password (d) a text description
30. 30.🚩 A study chatbot explains a topic. Is that a red flag? (a) a red flag (b) normal
31. 31.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) learns from examples (d) one set rule per case
32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
34. 34.🔍 Which is the odd one out? (a) writing quiz questions (b) composing a new tune (c) sorting photos by face (d) writing a new poem
35. 35.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
36. 36.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
37. 37.Which of these is the model? (a) past weather records (b) old emails marked spam (c) typing a new spoken word (d) the trained program
38. 38.🔒 Keep it private or okay to share with an AI chatbot: a photo of your friend? (a) keep it private (b) okay to share
39. 39.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
40. 40.True or false: “builds its own replies” describes a learning chatbot. (a) True (b) False

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