Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 174 · 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: clear, sharp examples? (a) good for training (b) bad for training
2. 2.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) new data for testing (d) very few examples
3. 3.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
4. 4.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
5. 5.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
6. 6.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) wrong labels (d) checking labels twice
7. 7.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
8. 8.True or false: “testing on training data” is bad for training a model. (a) True (b) False
9. 9.Which of these is good for training a model? (a) very few examples (b) correct labels (c) blurry, unclear photos (d) labels added at random
10. 10.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
11. 11.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
12. 12.🏷️ 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
13. 13.🐶 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) a song about dogs (d) many labelled photos
14. 14.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) wrong labels (d) new data for testing
15. 15.True or false: “correct labels” is good for training a model. (a) True (b) False
16. 16.Which of these is good for training a model? (a) photos in many lights (b) very few examples (c) blurry, unclear photos (d) only one kind of example
17. 17.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) testing on training data (d) labels added at random
19. 19.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) examples of every type (d) checking labels twice
20. 20.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
21. 21.True or false: “very few examples” is good for training a model. (a) False (b) True
22. 22.🏷️ 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
23. 23.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
24. 24.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
25. 25.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
26. 26.Which of these is good for training a model? (a) examples of every type (b) only one kind of example (c) wrong labels (d) labels added at random
27. 27.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) blurry, unclear photos (d) examples of every type
28. 28.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) copies of one photo (d) correct labels
29. 29.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
30. 30.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
31. 31.True or false: “examples of every type” is bad for training a model. (a) True (b) False
32. 32.True or false: “only one kind of example” is good for training a model. (a) False (b) True
33. 33.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
34. 34.True or false: “wrong labels” is good for training a model. (a) True (b) False
35. 35.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
36. 36.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) photos in many lights (d) very few examples
37. 37.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
38. 38.True or false: “testing on training data” is good for training a model. (a) True (b) False
39. 39.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
40. 40.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True

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