Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 101 · 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: “checking labels twice” is good for training a model. (a) False (b) True
2. 2.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) only one kind of example (d) many varied examples
4. 4.🏷️ 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
5. 5.Which of these is bad for training a model? (a) only one kind of example (b) checking labels twice (c) clear, sharp examples (d) many varied examples
6. 6.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) correct labels (d) very few examples
8. 8.🔍 Which is the odd one out? (a) correct labels (b) clear, sharp examples (c) photos in many lights (d) wrong labels
9. 9.📚 Usually, more good examples make a model… (a) better at its task (b) slower to switch on (c) change colour (d) forget everything
10. 10.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
11. 11.True or false: “very few examples” is good for training a model. (a) True (b) False
12. 12.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
13. 13.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
14. 14.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
15. 15.True or false: “examples of every type” is good for training a model. (a) False (b) True
16. 16.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) copies of one photo (d) checking labels twice
17. 17.Which of these is good for training a model? (a) testing on training data (b) many varied examples (c) copies of one photo (d) labels added at random
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 list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
20. 20.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) blurry, unclear photos (d) correct labels
21. 21.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
22. 22.🏷️ 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
23. 23.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
24. 24.True or false: “photos in many lights” is good for training a model. (a) False (b) True
25. 25.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
26. 26.🏷️ 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
27. 27.🏷️ 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
28. 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
29. 29.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
30. 30.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
31. 31.Which of these is bad for training a model? (a) wrong labels (b) clear, sharp examples (c) photos in many lights (d) many varied examples
32. 32.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
33. 33.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) correct labels (d) very few examples
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
35. 35.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
36. 36.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) clear, sharp examples (d) testing on training data
38. 38.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) very few examples (b) checking labels twice (c) many varied examples (d) examples of every type
40. 40.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) new data for testing (d) wrong labels

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