Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 519 · 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.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) examples of every type (d) labels added at random
2. 2.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) very few examples (d) examples of every type
3. 3.🐶 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) many labelled photos (d) a song about dogs
4. 4.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) labels added at random (d) correct labels
5. 5.True or false: “examples of every type” is bad for training a model. (a) True (b) False
6. 6.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) testing on training data (d) photos in many lights
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
8. 8.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
9. 9.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
10. 10.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
11. 11.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
12. 12.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
13. 13.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
14. 14.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
15. 15.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
16. 16.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
17. 17.🏷️ 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
18. 18.🏷️ 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
19. 19.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) correct labels (d) very few examples
21. 21.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
22. 22.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
23. 23.True or false: “many varied examples” is bad for training a model. (a) True (b) False
24. 24.🏷️ 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
25. 25.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) copies of one photo (d) correct labels
26. 26.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
27. 27.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
28. 28.🏷️ 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
29. 29.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
30. 30.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
32. 32.True or false: “checking labels twice” is good for training a model. (a) False (b) True
33. 33.True or false: “copies of one photo” is good for training a model. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) clear, sharp examples (d) new data for testing
35. 35.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
36. 36.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
37. 37.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) very few examples (d) many varied examples
39. 39.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) copies of one photo (d) photos in many lights
40. 40.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True

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