AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 237 · 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.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
2. 2.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) voice typing (d) a spam filter
3. 3.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) recognising (c) recommending (d) generating
4. 4.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
5. 5.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
6. 6.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
7. 7.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
8. 8.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
10. 10.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
11. 11.🔍 Which is the odd one out? (a) creating a cartoon (b) predicting rain (c) drawing a new picture (d) composing a new tune
12. 12.🔍 Which is the odd one out? (a) AI can make up facts (b) AI is never wrong (c) AI always checks facts (d) long answers are true
13. 13.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
14. 14.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
15. 15.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
18. 18.Which of these is bad for training a model? (a) checking labels twice (b) very few examples (c) correct labels (d) clear, sharp examples
19. 19.True or false: “improves with more data” describes how AI works. (a) False (b) True
20. 20.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) one set rule per case (d) handles unseen examples
21. 21.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) test on one group only
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
23. 23.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) copies one website (d) uses magic
24. 24.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
25. 25.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
26. 26.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
27. 27.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
28. 28.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
29. 29.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
30. 30.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) blurry, unclear photos (d) many varied examples
31. 31.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) yes, it is smart (d) no, it follows rules
32. 32.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
33. 33.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
34. 34.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) only adds numbers (d) makes new content
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
36. 36.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
38. 38.Which of these describes how a normal program works? (a) spots patterns in data (b) never learns from data (c) improves with more data (d) handles unseen examples
39. 39.🔍 Which is the odd one out? (a) a light switch (b) a calculator (c) an AI chatbot (d) a printed timetable
40. 40.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program

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