AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 980 · 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 does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
3. 3.Which of these is good for training a model? (a) labels added at random (b) correct labels (c) blurry, unclear photos (d) only one kind of example
4. 4.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
5. 5.True or false: “photos in many lights” is good for training a model. (a) False (b) True
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
7. 7.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
8. 8.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will shut down (d) it will turn yellow
9. 9.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
10. 10.🔍 Which is the odd one out? (a) writing quiz questions (b) making up a story (c) inventing a recipe (d) spotting spam
11. 11.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
12. 12.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) learns from examples (d) uses rules people wrote
13. 13.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
14. 14.🔍 Which is the odd one out? (a) creating a cartoon (b) suggesting a video (c) composing a new tune (d) inventing a recipe
15. 15.🔍 Which is the odd one out? (a) an AI chatbot (b) video suggestions (c) a printed timetable (d) a spam filter
16. 16.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
17. 17.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) the learned patterns
18. 18.True or false: “naming a new fruit photo” is training data. (a) False (b) True
19. 19.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
20. 20.🔍 Which is the odd one out? (a) unlocking with a face (b) suggesting a video (c) sorting photos by face (d) writing quiz questions
21. 21.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) past weather records (d) the trained program
22. 22.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) ask different people (d) add more of the same
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
24. 24.True or false: “a logo idea for the eco club” asks for an image. (a) True (b) False
25. 25.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
26. 26.True or false: “examples of every type” is good for training a model. (a) True (b) False
27. 27.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
28. 28.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
30. 30.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
31. 31.Which of these is a myth about AI? (a) AI always checks facts (b) AI learns from data (c) AI can be wrong (d) AI copies data patterns
32. 32.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
34. 34.True or false: “one set rule per case” describes how AI works. (a) True (b) False
35. 35.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
36. 36.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
37. 37.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
38. 38.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) predicting (c) recommending (d) recognising
39. 39.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
40. 40.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI always checks facts (d) AI can make up facts

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