Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 505 · 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: testing on training data? (a) good for training (b) bad for training
2. 2.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) copies of one photo (d) many varied examples
3. 3.🔍 Which is the odd one out? (a) clear, sharp examples (b) labels added at random (c) checking labels twice (d) new data for testing
4. 4.🔍 Which is the odd one out? (a) copies of one photo (b) photos in many lights (c) many varied examples (d) new data for testing
5. 5.🐶 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
6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
7. 7.Which of these is bad for training a model? (a) checking labels twice (b) very few examples (c) many varied examples (d) new data for testing
8. 8.Which of these is good for training a model? (a) copies of one photo (b) clear, sharp examples (c) very few examples (d) wrong labels
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
10. 10.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
11. 11.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
12. 12.True or false: “wrong labels” is good for training a model. (a) False (b) True
13. 13.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
14. 14.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
15. 15.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
16. 16.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) wrong labels (d) blurry, unclear photos
17. 17.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
18. 18.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) correct labels (d) only one kind of example
19. 19.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
20. 20.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
21. 21.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) correct labels (d) labels added at random
22. 22.Which of these is bad for training a model? (a) photos in many lights (b) checking labels twice (c) many varied examples (d) copies of one photo
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
24. 24.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) very few examples (b) examples of every type (c) checking labels twice (d) photos in many lights
26. 26.True or false: “testing on training data” is good for training a model. (a) False (b) True
27. 27.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) wrong labels (d) only one kind of example
28. 28.Which of these is good for training a model? (a) many varied examples (b) copies of one photo (c) only one kind of example (d) blurry, unclear photos
29. 29.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) copies of one photo (b) photos in many lights (c) very few examples (d) only one kind of example
31. 31.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
32. 32.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
33. 33.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
34. 34.True or false: “many varied examples” is bad for training a model. (a) False (b) True
35. 35.🏷️ 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
36. 36.🏷️ 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
37. 37.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
38. 38.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
39. 39.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
40. 40.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training

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