AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 372 · 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.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
2. 2.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) spotting a sick leaf (c) writing quiz questions (d) composing a new tune
3. 3.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
4. 4.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
5. 5.True or false: “the trained program” is training data. (a) True (b) False
6. 6.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
7. 7.Which of these adds to bias? (a) balance the data (b) check who is missing (c) ignore complaints (d) add varied examples
8. 8.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
9. 9.True or false: turning your spoken words into typed text is AI predicting something. (a) True (b) False
10. 10.True or false: a camera app naming the flower you point at is AI recommending something. (a) True (b) False
11. 11.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) your password (d) a text description
12. 12.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI answers need checking (d) confident means correct
13. 13.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) the trained program (d) flagging a new email
14. 14.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
15. 15.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
16. 16.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
17. 17.Which of these is not AI? (a) a voice assistant (b) a torch (c) voice typing (d) an app translating signs
18. 18.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
19. 19.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting spam (c) unlocking with a face (d) drafting a letter
20. 20.Which of these is a myth about AI? (a) AI copies data patterns (b) AI is never wrong (c) AI can mix up numbers (d) AI can be wrong
21. 21.Which of these is a fact about AI? (a) AI can mix up numbers (b) long answers are true (c) AI has real feelings (d) AI knows everything
22. 22.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
23. 23.🔍 Which is the odd one out? (a) an app translating signs (b) photos grouped by face (c) a map predicting traffic (d) a digital watch
24. 24.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
25. 25.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) nobody at all (d) people
26. 26.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
27. 27.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
28. 28.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
29. 29.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) makes a best guess (d) one set rule per case
30. 30.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
31. 31.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
32. 32.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) only stores files (d) charges batteries
33. 33.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) check who is missing (d) ignore complaints
34. 34.🔍 Which is the odd one out? (a) AI can make up facts (b) AI knows everything (c) AI answers need checking (d) AI learns from data
35. 35.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
36. 36.🔍 Which is the odd one out? (a) a light switch (b) photos grouped by face (c) a fan regulator (d) a kitchen weighing scale
37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) examples of every type (c) new data for testing (d) copies of one photo
38. 38.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) 500 labelled leaf photos (d) naming a new leaf
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
40. 40.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) blurry, unclear photos (d) examples of every type

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students