AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 350 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
2. 2.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
3. 3.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
4. 4.True or false: “many varied examples” is good for training a model. (a) True (b) False
5. 5.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) actual information (d) artificial intelligence
6. 6.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) wrong labels (d) many varied examples
7. 7.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
8. 8.True or false: “wrong labels” is bad for training a model. (a) False (b) True
9. 9.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) predicting (c) recognising (d) generating
10. 10.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
11. 11.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) new data for testing (d) very few examples
12. 12.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
13. 13.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
14. 14.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) never learns from data (d) spots patterns in data
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
17. 17.True or false: “recorded spoken words” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
19. 19.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
21. 21.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) True (b) False
22. 22.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
23. 23.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
25. 25.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
26. 26.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
27. 27.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
28. 28.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
29. 29.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) singing (d) sleeping
30. 30.🔍 Which is the odd one out? (a) photos grouped by face (b) a spam filter (c) voice typing (d) a printed timetable
31. 31.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
34. 34.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
35. 35.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) unlocking with a face (b) drafting a letter (c) spotting spam (d) turning speech to text
37. 37.True or false: “naming a new fruit photo” is the model. (a) True (b) False
38. 38.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
39. 39.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
40. 40.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) suggesting a video (c) creating a cartoon (d) predicting rain

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