AI for Kids Worksheet: Part 1 Test
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.
NameDateTime takenScore ___ / 40
- 1.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) very few examples (d) correct labels
- 2.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
- 3.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
- 4.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
- 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
- 6.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on one group only (d) fix wrong labels
- 7.True or false: “recorded spoken words” is training data. (a) False (b) True
- 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
- 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
- 10.🔍 Which is the odd one out? (a) AI is never wrong (b) AI answers need checking (c) AI can mix up numbers (d) AI copies data patterns
- 11.Which of these is good for training a model? (a) very few examples (b) many varied examples (c) wrong labels (d) copies of one photo
- 12.🔍 Which is the odd one out? (a) video suggestions (b) a voice assistant (c) voice typing (d) a stopwatch
- 13.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
- 14.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
- 15.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting spam (c) drawing a new picture (d) reading number plates
- 16.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
- 17.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing quiz questions (c) inventing a recipe (d) making up a story
- 18.True or false: “naming a new leaf” is a prediction. (a) False (b) True
- 19.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) same steps every time (d) learns from examples
- 20.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
- 21.True or false: “many varied examples” is bad for training a model. (a) False (b) True
- 22.True or false: “a drum beat for a dance” asks for music or sound. (a) True (b) False
- 23.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
- 24.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
- 25.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
- 26.True or false: “labelled fruit photos” is training data. (a) True (b) False
- 27.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can mix up numbers (c) AI learns from data (d) AI has real feelings
- 28.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
- 29.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
- 30.🔍 Which is the odd one out? (a) AI always checks facts (b) AI has real feelings (c) AI knows everything (d) AI can make up facts
- 31.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
- 32.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
- 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) add more of the same (d) use one group only
- 34.🔍 Which is the odd one out? (a) sorting photos by face (b) predicting rain (c) unlocking with a face (d) making up a story
- 35.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
- 36.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
- 37.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a label (d) a password
- 38.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
- 39.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
- 40.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) check it on paper (d) never do maths
Answer key
- very few examples
- a normal program
- a simple rule is enough
- True
- a prediction
- test on one group only
- True
- 500 labelled leaf photos
- training data
- AI is never wrong
- many varied examples
- a stopwatch
- not AI
- look in your textbook
- drawing a new picture
- True
- spotting spam
- True
- learns from examples
- no, it follows rules
- False
- True
- False
- no, it can be wrong
- True
- True
- AI has real feelings
- what training builds
- makes new content
- AI can make up facts
- False
- True
- fix wrong labels
- making up a story
- not AI
- uses AI
- a prompt
- one-sided data
- True
- check it on paper
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students