AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 34 · 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) examples of every type (b) correct labels (c) clear, sharp examples (d) testing on training data
2. 2.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) generating (c) recognising (d) predicting
3. 3.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI copies data patterns (c) AI knows everything (d) AI answers need checking
4. 4.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) an image (c) music or sound
5. 5.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
6. 6.Which of these uses AI? (a) a fan regulator (b) voice typing (c) a stopwatch (d) a torch
7. 7.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) recommending (d) predicting
8. 8.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
9. 9.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
10. 10.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
11. 11.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) labelled fruit photos
12. 12.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
13. 13.Which of these uses AI? (a) a fan regulator (b) a light switch (c) a microwave timer (d) a map predicting traffic
14. 14.Which of these is a myth about AI? (a) AI can make up facts (b) AI is never wrong (c) AI can be wrong (d) AI answers need checking
15. 15.Which of these uses AI? (a) a kitchen weighing scale (b) a torch (c) an app translating signs (d) a stopwatch
16. 16.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) clear, sharp examples (d) blurry, unclear photos
17. 17.🔍 Which is the odd one out? (a) drawing a new picture (b) sorting photos by face (c) writing a new poem (d) writing quiz questions
18. 18.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
19. 19.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
20. 20.True or false: “many varied examples” is bad for training a model. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI learns from data (c) AI has real feelings (d) AI copies data patterns
22. 22.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) testing on training data (d) blurry, unclear photos
23. 23.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) use one group only (d) balance the data
24. 24.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
26. 26.True or false: “naming a new fruit photo” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
28. 28.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
29. 29.True or false: “past weather records” is the model. (a) False (b) True
30. 30.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) never learns from data (d) spots patterns in data
31. 31.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) copy old unfair choices
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
33. 33.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will shut down (d) it will turn yellow
34. 34.True or false: “wrong labels” is bad for training a model. (a) False (b) True
35. 35.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) recommending (c) recognising (d) generating
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) typing a new spoken word (d) the trained program
37. 37.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
38. 38.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
39. 39.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
40. 40.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) typing a new spoken word (d) the trained program

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students