Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 16 · 40 questions

AI tip (Show, label, learn): Machine learning learns patterns from many labelled examples — a label is the right answer tag on each example. Good for training: many varied examples, correct labels, every type the model will meet, and separate new data for testing. Bad for training: very few examples, wrong or random labels, only one kind of example, blurry examples, testing on the training data.

1. 1.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
2. 2.Which of these is good for training a model? (a) copies of one photo (b) checking labels twice (c) wrong labels (d) only one kind of example
3. 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
4. 4.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
5. 5.True or false: “many varied examples” is bad for training a model. (a) False (b) True
6. 6.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
7. 7.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) labels added at random (d) correct labels
8. 8.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
9. 9.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
10. 10.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
12. 12.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
14. 14.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
15. 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
16. 16.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) blurry, unclear photos (d) new data for testing
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
18. 18.Which of these is bad for training a model? (a) correct labels (b) blurry, unclear photos (c) checking labels twice (d) photos in many lights
19. 19.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) checking labels twice (d) testing on training data
20. 20.True or false: “examples of every type” is good for training a model. (a) False (b) True
21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
22. 22.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) very few examples (d) correct labels
23. 23.True or false: “correct labels” is bad for training a model. (a) False (b) True
24. 24.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
26. 26.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
27. 27.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) examples of every type (d) copies of one photo
28. 28.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) labels added at random (d) many varied examples
29. 29.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
30. 30.Which of these is good for training a model? (a) labels added at random (b) correct labels (c) copies of one photo (d) very few examples
31. 31.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) new data for testing (d) very few examples
32. 32.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) wrong labels (d) photos in many lights
33. 33.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) many varied examples (d) very few examples
34. 34.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
35. 35.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
36. 36.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
37. 37.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) labels added at random (d) correct labels
39. 39.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) many varied examples (d) only one kind of example
40. 40.🏷️ 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

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