AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 794 · 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.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
2. 2.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) labelled fruit photos
3. 3.🔍 Which is the odd one out? (a) face unlock on a phone (b) a fan regulator (c) an image generator (d) a voice assistant
4. 4.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) text (c) music or sound
5. 5.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) copies of one photo (d) photos in many lights
6. 6.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
7. 7.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
8. 8.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
9. 9.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
10. 10.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
11. 11.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) generating (c) recommending (d) predicting
12. 12.True or false: “many varied examples” is bad for training a model. (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) wrong labels (d) clear, sharp examples
14. 14.Which of these uses AI? (a) a fan regulator (b) a voice assistant (c) a printed timetable (d) a light switch
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
16. 16.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) AI answers need checking (b) AI knows everything (c) AI can make up facts (d) AI learns from data
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
22. 22.True or false: “test on one group only” helps reduce bias. (a) True (b) False
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
24. 24.Which of these is good for training a model? (a) wrong labels (b) many varied examples (c) very few examples (d) copies of one photo
25. 25.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a backup (d) a hallucination
26. 26.Which of these describes how a normal program works? (a) improves with more data (b) gives a likely answer (c) handles unseen examples (d) uses rules people wrote
27. 27.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) labelled fruit photos (d) the trained program
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
30. 30.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
32. 32.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) AI knows everything (b) AI can mix up numbers (c) AI is never wrong (d) AI always checks facts
34. 34.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
35. 35.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) predicting (c) recommending (d) generating
36. 36.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.🎨 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
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) an app translating signs (b) a voice assistant (c) a light switch (d) an image generator

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