AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 314 · 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: new data for testing? (a) bad for training (b) good for training
2. 2.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
3. 3.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
4. 4.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) naming a new fruit photo (d) typing a new spoken word
5. 5.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) skip testing (d) add more of the same
6. 6.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) very few examples (d) examples of every type
7. 7.True or false: “a thank-you note to the bus driver” asks for an image. (a) False (b) True
8. 8.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
9. 9.True or false: “the trained program” is a prediction. (a) True (b) False
10. 10.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) generating (c) recommending (d) recognising
11. 11.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
12. 12.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) trust the AI (c) stop studying (d) share it online
13. 13.True or false: an image generator drawing a robot from a sentence is AI predicting something. (a) True (b) False
14. 14.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) generating (b) predicting (c) recommending (d) recognising
15. 15.True or false: “a story about a brave ant” asks for text. (a) True (b) False
16. 16.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
17. 17.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
18. 18.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
19. 19.True or false: “a picture of a castle made of mangoes” asks for text. (a) False (b) True
20. 20.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
21. 21.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
22. 22.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) one set rule per case (d) gives a likely answer
23. 23.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
24. 24.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
25. 25.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
26. 26.Which of these is not AI? (a) a fan regulator (b) an AI chatbot (c) a voice assistant (d) a spam filter
27. 27.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
28. 28.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recommending (c) predicting (d) recognising
29. 29.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) predicts likely words (d) copies one website
30. 30.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
31. 31.Which of these describes how AI works? (a) does exactly as coded (b) improves with more data (c) one set rule per case (d) never learns from data
32. 32.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
33. 33.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drafting a letter (c) predicting rain (d) writing quiz questions
34. 34.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
35. 35.Which of these is training data? (a) the trained program (b) recorded spoken words (c) typing a new spoken word (d) tomorrow’s rain guess
36. 36.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) labels added at random (d) clear, sharp examples
37. 37.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
39. 39.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) photos in many lights (d) blurry, unclear photos
40. 40.🔍 Which is the odd one out? (a) drafting a letter (b) writing a new poem (c) predicting rain (d) inventing a recipe

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