AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 662 · 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.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) text (c) music or sound
2. 2.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
3. 3.🖼️ Warning sign or good sign: no trusted source? (a) a warning sign (b) a good sign
4. 4.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
5. 5.📝 Honest use or copying: getting it to solve every sum without trying? (a) honest use (b) not honest
6. 6.💬 Does this request help you learn, or do the work for you? “finish my homework” (a) helps you learn (b) does it for you
7. 7.🔒 Keep it private or okay to share with an AI chatbot: your school ID number? (a) okay to share (b) keep it private
8. 8.🧩 Which part of a prompt is this? “Act as my spelling coach.” (a) format (b) example (c) role (d) task
9. 9.Which of these is a poor way to study with AI? (a) ask why, not just what (b) check summaries in books (c) skipping the textbook (d) answer before peeking
10. 10.🔍 Which is the odd one out? (a) a riddle to solve (b) a topic for a quiz (c) a maths sum to explain (d) your school ID number
11. 11.🧩 Which part of a prompt is this? “It is for a school assembly.” (a) context (b) example (c) role (d) task
12. 12.True or false: “makes a best guess” describes how AI works. (a) False (b) True
13. 13.❌ Ananya’s fruit sorter was tested on 23 new fruit photos and got 16 right. How many did it get wrong?
14. 14.True or false: “Make 8 cards on the parts of a flower.” is asking for an explanation. (a) True (b) False
15. 15.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) only one kind of example (d) many varied examples
16. 16.🔍 Which is the odd one out? (a) leave out the topic (b) write it in capitals (c) add your class level (d) make it vaguer
17. 17.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
18. 18.©️ Whose work is it: a poet’s famous poem? (a) my own work (b) someone else’s work
19. 19.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
20. 20.📦 Vihaan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
21. 21.Which of these is my own work? (a) a song on the radio (b) a classmate’s drawing (c) a cartoon from a comic (d) my own survey results
22. 22.📖 The AI answer and your textbook disagree. What should you do? (a) skip the question (b) trust the AI (c) ask your teacher (d) pick at random
23. 23.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) making up a story (c) reading number plates (d) writing a new poem
25. 25.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) examples of every type (d) labels added at random
26. 26.True or false: “correct labels” is bad for training a model. (a) False (b) True
27. 27.Which of these is a myth about AI? (a) AI is never wrong (b) AI can be wrong (c) AI answers need checking (d) AI learns from data
28. 28.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
29. 29.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “a friend’s secret” should be kept private — never share it with an AI chatbot. (a) True (b) False
33. 33.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
34. 34.True or false: “List 6 science fair ideas about water that use cheap materials.” is a clear prompt. (a) True (b) False
35. 35.🧮 An AI chatbot says 29 × 3 = 89. Check it yourself: what is 29 × 3?
36. 36.True or false: “My class just learned fractions.” is the context part of a prompt. (a) False (b) True
37. 37.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
38. 38.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
39. 39.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
40. 40.True or false: “For example: cat → billi” is the context part of a prompt. (a) True (b) False

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