AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 613 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
2. 2.True or false: “test on many groups” helps reduce bias. (a) True (b) False
3. 3.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
4. 4.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) tomorrow’s rain guess (d) past weather records
5. 5.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) copies of one photo (d) checking labels twice
6. 6.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
7. 7.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
8. 8.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
10. 10.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) same steps every time (d) improves with more data
11. 11.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
12. 12.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
13. 13.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
14. 14.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) AI answers need checking (d) AI has real feelings
15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) drawing a new picture (c) drafting a letter (d) making up a story
16. 16.True or false: “past weather records” is the model. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a printed timetable (c) an AI chatbot (d) a stopwatch
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) a fan regulator (b) photos grouped by face (c) a light switch (d) a calculator
20. 20.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
21. 21.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) test on many groups (d) balance the data
22. 22.Which of these is not AI? (a) an image generator (b) voice typing (c) a fan regulator (d) a spam filter
23. 23.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
24. 24.🏷️ 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
25. 25.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
26. 26.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
28. 28.🔍 Which is the odd one out? (a) AI has real feelings (b) AI is never wrong (c) AI can be wrong (d) long answers are true
29. 29.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only adds numbers (d) only stores files
30. 30.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
31. 31.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
32. 32.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
33. 33.Which of these describes how a normal program works? (a) spots patterns in data (b) follows fixed rules (c) handles unseen examples (d) gives a likely answer
34. 34.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
35. 35.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI answers need checking (c) AI can make up facts (d) long answers are true
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
38. 38.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
39. 39.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam

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