AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 788 · 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) an app translating signs (b) a digital watch (c) video suggestions (d) voice typing
2. 2.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
3. 3.🔍 Which is the odd one out? (a) AI knows everything (b) AI always checks facts (c) long answers are true (d) AI copies data patterns
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
5. 5.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) use one group only (d) copy old unfair choices
6. 6.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
7. 7.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) new data for testing (d) many varied examples
8. 8.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
9. 9.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
10. 10.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
11. 11.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) the trained program (d) labelled fruit photos
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
14. 14.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a light switch (c) a digital watch (d) face unlock on a phone
15. 15.Which of these is training data? (a) the trained program (b) what training builds (c) typing a new spoken word (d) old emails marked spam
16. 16.Which of these uses AI? (a) a kitchen weighing scale (b) an app translating signs (c) a printed timetable (d) a calculator
17. 17.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
18. 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) reading number plates (b) creating a cartoon (c) making up a story (d) writing a new poem
19. 19.Which of these describes how AI works? (a) uses rules people wrote (b) same steps every time (c) one set rule per case (d) handles unseen examples
20. 20.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
21. 21.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) AI is never wrong (d) AI can be wrong
22. 22.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
23. 23.🔍 Which is the odd one out? (a) AI has real feelings (b) AI always checks facts (c) AI can be wrong (d) confident means correct
24. 24.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock
25. 25.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
26. 26.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
27. 27.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
28. 28.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
29. 29.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) add varied examples
30. 30.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
31. 31.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
32. 32.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) very few examples (d) photos in many lights
33. 33.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) predicting (c) generating (d) recommending
34. 34.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
35. 35.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
36. 36.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it uses electricity (d) it is always right
37. 37.Which of these describes how a normal program works? (a) improves with more data (b) does exactly as coded (c) makes a best guess (d) learns from examples
38. 38.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI learns from data (d) confident means correct

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