Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 464 · 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.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
2. 2.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
3. 3.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
4. 4.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
5. 5.True or false: “wrong labels” is good for training a model. (a) True (b) False
6. 6.🏷️ 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
7. 7.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) photos in many lights (d) wrong labels
8. 8.🏷️ 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
9. 9.🏷️ 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
10. 10.🏷️ 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
11. 11.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) testing on training data (d) copies of one photo
12. 12.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) very few examples (d) examples of every type
13. 13.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
14. 14.True or false: “examples of every type” is bad for training a model. (a) False (b) True
15. 15.True or false: “copies of one photo” is good for training a model. (a) True (b) False
16. 16.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
17. 17.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
18. 18.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
19. 19.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
20. 20.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) wrong labels (d) copies of one photo
21. 21.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) blurry, unclear photos (d) new data for testing
22. 22.🏷️ 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
23. 23.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down
24. 24.True or false: “photos in many lights” is good for training a model. (a) True (b) False
25. 25.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
26. 26.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
27. 27.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
29. 29.True or false: “new data for testing” is bad for training a model. (a) True (b) False
30. 30.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) copies of one photo (d) clear, sharp examples
31. 31.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
32. 32.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
33. 33.🏷️ 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
34. 34.🔍 Which is the odd one out? (a) very few examples (b) many varied examples (c) clear, sharp examples (d) examples of every type
35. 35.True or false: “many varied examples” is bad for training a model. (a) False (b) True
36. 36.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
37. 37.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) very few examples (d) clear, sharp examples
38. 38.True or false: the message “Last chance! Free gift card inside” 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? “Happy birthday! See you at lunch” (a) spam (b) not spam
40. 40.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False

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