AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 265 · 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.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) spots patterns in data (d) handles unseen examples
2. 2.True or false: an online shop showing “you may also like” is AI recognising something. (a) False (b) True
3. 3.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
4. 4.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
5. 5.Which of these describes how AI works? (a) does exactly as coded (b) same steps every time (c) uses rules people wrote (d) improves with more data
6. 6.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
9. 9.Which of these is generative AI (it makes something new)? (a) spotting spam (b) writing quiz questions (c) spotting a sick leaf (d) unlocking with a face
10. 10.True or false: a phone unlocking when it sees your face is AI predicting something. (a) False (b) True
11. 11.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
12. 12.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) blurry, unclear photos (d) examples of every type
13. 13.🔍 Which is the odd one out? (a) unlocking with a face (b) writing quiz questions (c) making up a story (d) drawing a new picture
14. 14.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
15. 15.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) recommending (c) predicting (d) recognising
16. 16.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
18. 18.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) makes a best guess (d) never learns from data
19. 19.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
21. 21.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) the learned patterns (d) 500 labelled leaf photos
22. 22.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
23. 23.Which of these is the model? (a) what training builds (b) past weather records (c) labelled fruit photos (d) recorded spoken words
24. 24.🔍 Which is the odd one out? (a) confident means correct (b) AI can be wrong (c) AI can make up facts (d) AI copies data patterns
25. 25.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
26. 26.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI has real feelings (d) AI answers need checking
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) check who is missing (d) test on one group only
29. 29.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
30. 30.Which of these is not AI? (a) photos grouped by face (b) a spam filter (c) an app translating signs (d) a torch
31. 31.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
32. 32.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) reading number plates (c) making up a story (d) spotting spam
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
34. 34.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) add varied examples (d) fix wrong labels
35. 35.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
36. 36.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
37. 37.🔍 Which is the odd one out? (a) creating a cartoon (b) sorting photos by face (c) writing a new poem (d) writing quiz questions
38. 38.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
39. 39.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) what training builds (d) typing a new spoken word
40. 40.Which of these uses AI? (a) a fan regulator (b) a calculator (c) an AI chatbot (d) a doorbell

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