AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 898 · 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.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) copy it straight away (c) ask it to hurry (d) never do maths
2. 2.True or false: turning your spoken words into typed text is AI generating something new. (a) True (b) False
3. 3.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
4. 4.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) reading number plates (b) unlocking with a face (c) spotting spam (d) writing a new poem
6. 6.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
9. 9.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
10. 10.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
11. 11.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
12. 12.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
13. 13.🔍 Which is the odd one out? (a) inventing a recipe (b) turning speech to text (c) writing a new poem (d) composing a new tune
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
15. 15.True or false: “a story about a brave ant” asks for music or sound. (a) False (b) True
16. 16.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
17. 17.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI answers need checking (d) AI knows everything
18. 18.True or false: a phone unlocking when it sees your face is AI predicting something. (a) False (b) True
19. 19.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) balance the data (d) add varied examples
20. 20.True or false: “past weather records” is training data. (a) True (b) False
21. 21.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
22. 22.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) skip testing (d) balance the data
24. 24.🔍 Which is the odd one out? (a) unlocking with a face (b) creating a cartoon (c) composing a new tune (d) writing a new poem
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
26. 26.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
27. 27.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
28. 28.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
29. 29.🏷️ 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) not spam (b) spam
30. 30.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
33. 33.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a text description (d) a phone number
34. 34.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
35. 35.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
36. 36.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
37. 37.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
38. 38.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
39. 39.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
40. 40.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False

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