AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 667 · 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: testing on training data? (a) bad for training (b) good for training
2. 2.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a label (d) a password
3. 3.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) ask different people (d) copy old unfair choices
4. 4.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
5. 5.🤖 Who builds and trains AI systems? (a) nobody at all (b) people (c) the Moon (d) the weather
6. 6.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
7. 7.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
8. 8.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
9. 9.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
10. 10.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
11. 11.🔍 Which is the odd one out? (a) inventing a recipe (b) reading number plates (c) writing a new poem (d) drawing a new picture
12. 12.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) recognising (c) generating (d) recommending
13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting a sick leaf (b) creating a cartoon (c) making up a story (d) inventing a recipe
14. 14.🔍 Which is the odd one out? (a) composing a new tune (b) making up a story (c) spotting a sick leaf (d) drawing a new picture
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
17. 17.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) yes, it is smart (d) no, it follows rules
18. 18.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) typing a new spoken word (d) past weather records
19. 19.Which of these is not AI? (a) a map predicting traffic (b) a light switch (c) photos grouped by face (d) voice typing
20. 20.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
21. 21.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) music or sound (c) an image
22. 22.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) copies of one photo (d) new data for testing
23. 23.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
24. 24.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
25. 25.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
26. 26.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) music or sound (c) text
27. 27.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) AI copies data patterns (d) AI is never wrong
28. 28.Which of these is not AI? (a) photos grouped by face (b) a fan regulator (c) a voice assistant (d) face unlock on a phone
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
31. 31.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
32. 32.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) predicting (b) recognising (c) generating (d) recommending
33. 33.Which of these is not AI? (a) a digital watch (b) an app translating signs (c) voice typing (d) a spam filter
34. 34.Which of these uses AI? (a) face unlock on a phone (b) a printed timetable (c) a light switch (d) a microwave timer
35. 35.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
36. 36.🔍 Which is the odd one out? (a) spotting a sick leaf (b) drawing a new picture (c) sorting photos by face (d) turning speech to text
37. 37.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
38. 38.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
39. 39.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) drawing a new picture (c) making up a story (d) writing a new poem
40. 40.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image

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