AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 609 · 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.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
2. 2.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) add more of the same (d) add varied examples
3. 3.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
4. 4.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
5. 5.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
6. 6.True or false: “the trained program” is training data. (a) False (b) True
7. 7.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
10. 10.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
11. 11.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
13. 13.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ask different people (d) ignore complaints
14. 14.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
15. 15.🔍 Which is the odd one out? (a) confident means correct (b) AI can mix up numbers (c) AI copies data patterns (d) AI can be wrong
16. 16.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
17. 17.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) share it online (d) trust the AI
18. 18.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
19. 19.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
21. 21.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
22. 22.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
23. 23.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
24. 24.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) predicting (c) recognising (d) generating
25. 25.🔍 Which is the odd one out? (a) face unlock on a phone (b) photos grouped by face (c) a printed timetable (d) a map predicting traffic
26. 26.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
27. 27.True or false: “never learns from data” describes how AI works. (a) True (b) False
28. 28.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
29. 29.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
31. 31.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
33. 33.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) testing on training data (d) wrong labels
34. 34.🔍 Which is the odd one out? (a) AI can make up facts (b) AI copies data patterns (c) AI learns from data (d) AI knows everything
35. 35.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) makes a best guess (d) same steps every time
36. 36.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock
37. 37.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a hallucination (c) a summary (d) a backup
38. 38.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
39. 39.🔍 Which is the odd one out? (a) drawing a new picture (b) drafting a letter (c) spotting spam (d) writing a new poem
40. 40.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False

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