Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 433 · 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 good for training a model. (a) False (b) True
2. 2.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
3. 3.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) examples of every type (d) checking labels twice
4. 4.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
5. 5.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) very few examples (d) many varied examples
6. 6.🏷️ 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
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
8. 8.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) blurry, unclear photos (d) clear, sharp examples
9. 9.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
10. 10.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
11. 11.🏷️ 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
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
13. 13.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) copies of one photo (d) examples of every type
14. 14.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
15. 15.True or false: “labels added at random” is good for training a model. (a) False (b) True
16. 16.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
17. 17.🏷️ 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
18. 18.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
19. 19.🏷️ 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
20. 20.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) forget everything (d) slower to switch on
21. 21.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
22. 22.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will shut down (d) it will be perfect
23. 23.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
24. 24.True or false: “very few examples” is bad for training a model. (a) True (b) False
25. 25.Which of these is bad for training a model? (a) examples of every type (b) only one kind of example (c) many varied examples (d) correct labels
26. 26.🏷️ 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
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
28. 28.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) correct labels (d) wrong labels
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
30. 30.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
32. 32.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
33. 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
34. 34.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
35. 35.True or false: “wrong labels” is bad for training a model. (a) False (b) True
36. 36.True or false: “testing on training data” is bad for training a model. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) new data for testing (d) checking labels twice
38. 38.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
39. 39.True or false: “copies of one photo” is good for training a model. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) checking labels twice (d) copies of one photo

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