AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 597 · 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.True or false: a phone unlocking when it sees your face is AI generating something new. (a) False (b) True
2. 2.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
4. 4.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
5. 5.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
6. 6.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
7. 7.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
8. 8.True or false: a keyboard guessing your next word is AI generating something new. (a) True (b) False
9. 9.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
10. 10.Which of these is not AI? (a) a map predicting traffic (b) a digital watch (c) an AI chatbot (d) an image generator
11. 11.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
13. 13.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
14. 14.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
15. 15.True or false: “the learned patterns” is the model. (a) True (b) False
16. 16.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
18. 18.True or false: “a drum beat for a dance” asks for an image. (a) False (b) True
19. 19.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
20. 20.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
21. 21.🔍 Which is the odd one out? (a) wrong labels (b) photos in many lights (c) very few examples (d) testing on training data
22. 22.Which of these is good for training a model? (a) labels added at random (b) clear, sharp examples (c) only one kind of example (d) copies of one photo
23. 23.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
25. 25.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
26. 26.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) does exactly as coded (d) improves with more data
27. 27.True or false: “see if the book exists” is a real way to check an AI answer. (a) True (b) False
28. 28.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
29. 29.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
30. 30.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) AI can make up facts (d) AI is never wrong
31. 31.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
32. 32.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
33. 33.True or false: “labels added at random” is bad for training a model. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) photos grouped by face (b) a voice assistant (c) a light switch (d) an app translating signs
35. 35.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
36. 36.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) very few examples (c) many varied examples (d) checking labels twice
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
39. 39.🔍 Which is the odd one out? (a) suggesting a video (b) reading number plates (c) drawing a new picture (d) unlocking with a face
40. 40.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False

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