AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 200 · 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.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) correct labels (d) labels added at random
2. 2.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) naming a new leaf (d) the trained program
3. 3.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) stop studying (c) trust the textbook (d) trust the AI
4. 4.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) text (c) an image
5. 5.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a password (d) a summary
6. 6.✨ What does generative AI do? (a) makes new content (b) only stores files (c) charges batteries (d) only adds numbers
7. 7.🔍 Which is the odd one out? (a) reading number plates (b) drafting a letter (c) composing a new tune (d) making up a story
8. 8.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) only one kind of example (d) photos in many lights
10. 10.Which of these uses AI? (a) voice typing (b) a digital watch (c) a printed timetable (d) a light switch
11. 11.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
12. 12.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
15. 15.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
16. 16.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
18. 18.True or false: “testing on training data” is bad for training a model. (a) False (b) True
19. 19.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
21. 21.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
22. 22.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
25. 25.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
26. 26.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) predicting (b) recommending (c) generating (d) recognising
27. 27.Which of these is a fact about AI? (a) AI knows everything (b) confident means correct (c) AI is never wrong (d) AI answers need checking
28. 28.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) does exactly as coded (d) handles unseen examples
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
30. 30.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
31. 31.🔍 Which is the odd one out? (a) confident means correct (b) AI knows everything (c) AI can be wrong (d) AI is never wrong
32. 32.🔍 Which is the odd one out? (a) drafting a letter (b) writing a new poem (c) inventing a recipe (d) suggesting a video
33. 33.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
34. 34.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
36. 36.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
37. 37.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
38. 38.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) predicting (c) recommending (d) recognising
39. 39.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
40. 40.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True

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