AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 939 · 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.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
2. 2.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
3. 3.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
4. 4.True or false: an AI tool making a brand-new tune is AI recognising something. (a) False (b) True
5. 5.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) naming a new fruit photo
6. 6.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
7. 7.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
8. 8.True or false: “correct labels” is bad for training a model. (a) False (b) True
9. 9.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
10. 10.🔍 Which is the odd one out? (a) suggesting a video (b) predicting rain (c) inventing a recipe (d) turning speech to text
11. 11.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) only one kind of example (d) photos in many lights
13. 13.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
14. 14.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) only one kind of example (d) new data for testing
15. 15.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) old emails marked spam (d) 500 labelled leaf photos
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
17. 17.Which of these is a fact about AI? (a) long answers are true (b) AI knows everything (c) confident means correct (d) AI can mix up numbers
18. 18.Which of these is not AI? (a) a calculator (b) face unlock on a phone (c) an image generator (d) a voice assistant
19. 19.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) blurry, unclear photos (d) checking labels twice
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
21. 21.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
22. 22.🔍 Which is the odd one out? (a) face unlock on a phone (b) photos grouped by face (c) a printed timetable (d) video suggestions
23. 23.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
24. 24.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
25. 25.True or false: “fix wrong labels” adds to bias. (a) False (b) True
26. 26.🏷️ 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
27. 27.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) spotting spam (c) inventing a recipe (d) writing quiz questions
29. 29.True or false: “confident means correct” is a myth about AI. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
31. 31.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recommending (b) recognising (c) generating (d) predicting
32. 32.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
33. 33.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
34. 34.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
35. 35.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
36. 36.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
37. 37.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
38. 38.Which of these describes how a normal program works? (a) spots patterns in data (b) one set rule per case (c) handles unseen examples (d) gives a likely answer
39. 39.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) gives a likely answer (d) same steps every time
40. 40.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) testing on training data (d) new data for testing

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