AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 734 · 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.🖼️ Warning sign or good sign: too good to be true? (a) a good sign (b) a warning sign
2. 2.🔎 Checking an AI answer: which do you do first — match every number or find the same topic? (a) match every number (b) find the same topic
3. 3.True or false: “asks for photos of you” is normal for a study chatbot. (a) True (b) False
4. 4.Which of these sets a length limit? (a) in a friendly tone (b) no hard science words (c) in under 50 words (d) for a Class 3 student
5. 5.©️ Who owns the copyright of a song? (a) the person who made it (b) nobody at all (c) the radio (d) anyone who hears it
6. 6.Which of these is a warning sign of a fake picture or story? (a) a known news desk (b) matches the textbook (c) a named author (d) a background that bends
7. 7.🎂 Where can you find an app’s age rule? (a) its terms or rules page (b) nowhere (c) in the weather report (d) on its logo
8. 8.🎯 Arjun’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
10. 10.🪜 What does this prompt ask for? “Answer only: what is x if 3x + 5 = 20?” (a) asks for steps (b) asks only for the answer
11. 11.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) very few examples (d) photos in many lights
12. 12.🧩 Which part of a prompt is this? “Explain how rainbows form.” (a) format (b) context (c) task (d) example
13. 13.🪜 What does this prompt ask for? “Show each step of 456 ÷ 4.” (a) asks only for the answer (b) asks for steps
14. 14.✍️ Which prompt is clearer?
    A: “Make a checklist of 8 things to pack for a school trip to the hills.”
    B: “Trip list.” (a) Prompt A (b) Prompt B
15. 15.🔁 Learning a hard sum with AI: which should you do first — ask how to start or solve a new one alone? (a) ask how to start (b) solve a new one alone
16. 16.True or false: “Make it short.” is a vague prompt. (a) True (b) False
17. 17.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
18. 18.🔎 Checking an AI answer: which do you do first — underline each fact or match every number? (a) underline each fact (b) match every number
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
20. 20.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) uses rules people wrote (d) makes a best guess
21. 21.🪜 What does this prompt ask for? “Give me just the answers to all 10 sums.” (a) asks only for the answer (b) asks for steps
22. 22.🔍 Which is the odd one out? (a) drafting a letter (b) writing a new poem (c) composing a new tune (d) predicting rain
23. 23.📖 Is this a good source to check an AI answer against: a government website? (a) a good source (b) not a good source
24. 24.Which of these is a red flag — stop and tell an adult? (a) asks your class level (b) asks for your address (c) explains a topic (d) admits it is unsure
25. 25.🔍 Which is the odd one out? (a) an AI chatbot (b) a torch (c) voice typing (d) a voice assistant
26. 26.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) generative (b) rule-based (c) learning
27. 27.🗂️ What study help is this prompt asking for? “Make a 10-question test on decimals, answers at the end.” (a) an explanation (b) a summary (c) a practice quiz (d) flashcards
28. 28.🔍 Which is the odd one out? (a) drawing a new picture (b) writing a new poem (c) inventing a recipe (d) spotting spam
29. 29.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
30. 30.📚 Smart or poor way to study with AI: redo wrong questions? (a) poor study (b) smart study
31. 31.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) predicting (c) generating (d) recommending
32. 32.©️ Does this need credit: a photo you took on the school trip? (a) your own work (b) needs credit
33. 33.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False
34. 34.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
35. 35.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program
36. 36.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a length limit (b) a picture (c) a role (d) a password
37. 37.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
38. 38.❌ Kabir’s bird-song app was tested on 23 new bird songs and got 17 right. How many did it get wrong?
39. 39.💬 Rule-based or learning chatbot: “easy to trace why”? (a) learning (b) rule-based
40. 40.Which of these is training data? (a) what training builds (b) past weather records (c) the learned patterns (d) naming a new fruit photo

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