AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 6 · 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.🥭 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
2. 2.🔍 Which is the odd one out? (a) photos grouped by face (b) voice typing (c) a spam filter (d) a microwave timer
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
4. 4.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
5. 5.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
6. 6.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
7. 7.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
8. 8.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
9. 9.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
10. 10.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
11. 11.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
12. 12.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) copies of one photo (d) checking labels twice
13. 13.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
14. 14.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
15. 15.🔍 Which is the odd one out? (a) AI can be wrong (b) AI always checks facts (c) AI answers need checking (d) AI can make up facts
16. 16.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) fix wrong labels
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
18. 18.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) handles unseen examples (d) one set rule per case
19. 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
20. 20.🔍 Which is the odd one out? (a) drawing a new picture (b) sorting photos by face (c) spotting spam (d) spotting a sick leaf
21. 21.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
22. 22.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
23. 23.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
24. 24.Which of these uses AI? (a) a doorbell (b) a calculator (c) a stopwatch (d) voice typing
25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
26. 26.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
27. 27.Which of these is generative AI (it makes something new)? (a) predicting rain (b) reading number plates (c) turning speech to text (d) writing a new poem
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
29. 29.Which of these uses AI? (a) a fan regulator (b) face unlock on a phone (c) a calculator (d) a digital watch
30. 30.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
31. 31.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
32. 32.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) nobody at all (d) the Moon
33. 33.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
34. 34.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can mix up numbers (c) AI copies data patterns (d) AI knows everything
35. 35.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
36. 36.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
37. 37.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) new data for testing (d) testing on training data
38. 38.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) does exactly as coded (d) gives a likely answer
39. 39.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
40. 40.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) an image (c) text

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