AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 841 · 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.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) correct labels (d) very few examples
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
4. 4.True or false: an image generator drawing a robot from a sentence is AI predicting something. (a) False (b) True
5. 5.True or false: “labels added at random” is good for training a model. (a) False (b) True
6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) making up a story (c) drawing a new picture (d) creating a cartoon
7. 7.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
8. 8.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) clear, sharp examples (d) wrong labels
9. 9.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
10. 10.True or false: “use one group only” helps reduce bias. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) checking labels twice (b) wrong labels (c) photos in many lights (d) many varied examples
12. 12.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
13. 13.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) fix wrong labels (d) test on one group only
15. 15.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) very few examples (d) examples of every type
16. 16.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
17. 17.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) drafting a letter (c) drawing a new picture (d) reading number plates
18. 18.Which of these is a fact about AI? (a) AI learns from data (b) AI always checks facts (c) long answers are true (d) AI knows everything
19. 19.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
20. 20.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
21. 21.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
22. 22.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
23. 23.True or false: “ask different people” adds to bias. (a) True (b) False
24. 24.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
25. 25.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
26. 26.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
27. 27.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
29. 29.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
31. 31.True or false: an AI chatbot writing a story about a lost kite is AI recognising something. (a) False (b) True
32. 32.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
34. 34.🔍 Which is the odd one out? (a) checking labels twice (b) blurry, unclear photos (c) many varied examples (d) clear, sharp examples
35. 35.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
36. 36.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) a map predicting traffic (b) a doorbell (c) an image generator (d) an app translating signs
38. 38.Which of these is good for training a model? (a) photos in many lights (b) only one kind of example (c) testing on training data (d) wrong labels
39. 39.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
40. 40.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) text (c) an image

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