AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 808 · 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.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
2. 2.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
6. 6.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
7. 7.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
8. 8.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) predicting (c) recognising (d) generating
9. 9.True or false: “many varied examples” is good for training a model. (a) True (b) False
10. 10.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
12. 12.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
13. 13.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
14. 14.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
15. 15.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
16. 16.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
17. 17.True or false: a camera app naming the flower you point at is AI predicting something. (a) False (b) True
18. 18.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) what training builds (d) typing a new spoken word
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
20. 20.🏷️ 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
21. 21.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) composing a new tune (b) spotting a sick leaf (c) predicting rain (d) turning speech to text
23. 23.True or false: “old emails marked spam” is the model. (a) True (b) False
24. 24.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) examples of every type (d) very few examples
25. 25.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) predicts likely words (d) copies one website
26. 26.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
27. 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
28. 28.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) check who is missing (d) add varied examples
29. 29.Which of these is good for training a model? (a) clear, sharp examples (b) labels added at random (c) very few examples (d) wrong labels
30. 30.🏷️ 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
31. 31.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) generating (c) predicting (d) recognising
32. 32.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
33. 33.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
34. 34.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
35. 35.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
38. 38.Which of these uses AI? (a) a torch (b) a digital watch (c) face unlock on a phone (d) a fan regulator
39. 39.🔍 Which is the odd one out? (a) voice typing (b) a torch (c) a calculator (d) a doorbell
40. 40.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) AI always checks facts (d) AI can mix up numbers

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