Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 310 · 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.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
2. 2.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
3. 3.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) many varied examples (d) blurry, unclear photos
4. 4.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) clear, sharp examples (d) very few examples
5. 5.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
6. 6.True or false: “correct labels” is good for training a model. (a) False (b) True
7. 7.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
8. 8.True or false: “labels added at random” is bad for training a model. (a) True (b) False
9. 9.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
10. 10.True or false: “many varied examples” is good for training a model. (a) True (b) False
11. 11.True or false: “very few examples” is good for training a model. (a) False (b) True
12. 12.True or false: “wrong labels” is bad for training a model. (a) False (b) True
13. 13.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) wrong labels (d) checking labels twice
14. 14.🏷️ 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
15. 15.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
16. 16.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) copies of one photo (d) many varied examples
17. 17.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
18. 18.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) correct labels (d) testing on training data
20. 20.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
21. 21.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
22. 22.🐶 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
23. 23.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) checking labels twice (d) many varied examples
24. 24.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
25. 25.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) labels added at random (d) many varied examples
26. 26.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
27. 27.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
28. 28.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) clear, sharp examples (d) blurry, unclear photos
29. 29.True or false: “very few examples” is bad for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) checking labels twice (b) blurry, unclear photos (c) many varied examples (d) examples of every type
31. 31.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
32. 32.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
33. 33.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
34. 34.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) very few examples (d) photos in many lights
35. 35.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
36. 36.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
37. 37.Which of these is good for training a model? (a) very few examples (b) new data for testing (c) testing on training data (d) blurry, unclear photos
38. 38.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) wrong labels (d) labels added at random
39. 39.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
40. 40.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) wrong labels (d) labels added at random

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