Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 529 · 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: many varied examples? (a) bad for training (b) good for training
2. 2.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) new data for testing (d) very few examples
3. 3.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) copies of one photo (d) new data for testing
4. 4.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) new data for testing (d) labels added at random
5. 5.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
6. 6.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
7. 7.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) examples of every type (d) only one kind of example
8. 8.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) clear, sharp examples (d) testing on training data
9. 9.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
10. 10.📚 Good or bad for training a model: new data for testing? (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? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
12. 12.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
13. 13.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
14. 14.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
15. 15.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) correct labels (d) testing on training data
16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
17. 17.True or false: “very few examples” is bad for training a model. (a) True (b) False
18. 18.Which of these is bad for training a model? (a) wrong labels (b) correct labels (c) new data for testing (d) examples of every type
19. 19.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
20. 20.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) blurry, unclear photos (d) clear, sharp examples
21. 21.True or false: “photos in many lights” is good for training a model. (a) False (b) True
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
23. 23.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
24. 24.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) new data for testing (d) examples of every type
26. 26.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
27. 27.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
28. 28.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
29. 29.🥭 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 will turn yellow (d) it may get it wrong
30. 30.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
31. 31.True or false: “wrong labels” is bad for training a model. (a) False (b) True
32. 32.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
33. 33.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
34. 34.🏷️ 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
35. 35.True or false: “only one kind of example” is good for training a model. (a) False (b) True
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
37. 37.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) copies of one photo (d) correct labels
38. 38.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
39. 39.🏷️ 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
40. 40.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) only one kind of example (d) examples of every type

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