AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 139 · 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 makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
2. 2.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
4. 4.Which of these describes how AI works? (a) follows fixed rules (b) spots patterns in data (c) same steps every time (d) uses rules people wrote
5. 5.True or false: a book app suggesting a story like your last one is AI recognising something. (a) True (b) False
6. 6.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
7. 7.🔍 Which is the odd one out? (a) suggesting a video (b) drafting a letter (c) unlocking with a face (d) predicting rain
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
9. 9.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
10. 10.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) correct labels (d) testing on training data
11. 11.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
12. 12.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) predicting (c) recognising (d) generating
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
14. 14.True or false: “photos in many lights” is good for training a model. (a) True (b) False
15. 15.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
17. 17.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
18. 18.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
19. 19.Which of these describes how AI works? (a) gives a likely answer (b) uses rules people wrote (c) follows fixed rules (d) same steps every time
20. 20.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
21. 21.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
22. 22.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
23. 23.🔍 Which is the odd one out? (a) suggesting a video (b) sorting photos by face (c) inventing a recipe (d) unlocking with a face
24. 24.True or false: a music app suggesting a song you may like is AI predicting something. (a) True (b) False
25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
26. 26.True or false: “many varied examples” is bad for training a model. (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) check who is missing (d) fix wrong labels
28. 28.🔍 Which is the odd one out? (a) an image generator (b) a spam filter (c) a light switch (d) an app translating signs
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
31. 31.Which of these uses AI? (a) video suggestions (b) a fan regulator (c) a kitchen weighing scale (d) a microwave timer
32. 32.True or false: “copies of one photo” is good for training a model. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) use one group only (d) ask different people
34. 34.True or false: a phone unlocking when it sees your face is AI predicting something. (a) True (b) False
35. 35.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
39. 39.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
40. 40.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact

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