AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 341 · 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 is the odd one out? (a) long answers are true (b) AI knows everything (c) AI is never wrong (d) AI copies data patterns
2. 2.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a light switch (c) an AI chatbot (d) a fan regulator
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
5. 5.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
6. 6.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
7. 7.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
8. 8.True or false: “old emails marked spam” is training data. (a) False (b) True
9. 9.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
10. 10.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
11. 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
12. 12.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) AI has real feelings (d) AI can make up facts
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
15. 15.True or false: “naming a new leaf” is a prediction. (a) False (b) True
16. 16.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
18. 18.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) recorded spoken words (d) what training builds
19. 19.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
20. 20.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
22. 22.🏷️ 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
23. 23.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) test on one group only
25. 25.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
26. 26.🔍 Which is the odd one out? (a) a spam filter (b) an AI chatbot (c) a calculator (d) a map predicting traffic
27. 27.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
28. 28.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) labels added at random (d) many varied examples
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
30. 30.True or false: “skip testing” helps reduce bias. (a) False (b) True
31. 31.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
32. 32.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) an image (c) music or sound
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
34. 34.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) predicting (c) recognising (d) recommending
35. 35.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
36. 36.True or false: “never learns from data” describes how AI works. (a) False (b) True
37. 37.Which of these uses AI? (a) a doorbell (b) a torch (c) an app translating signs (d) a calculator
38. 38.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
39. 39.🔍 Which is the odd one out? (a) turning speech to text (b) composing a new tune (c) drafting a letter (d) making up a story
40. 40.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI

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