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.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recommending (c) recognising (d) generating
- 2.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
- 3.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
- 4.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
- 5.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
- 6.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
- 7.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
- 8.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) AI answers need checking (d) AI has real feelings
- 9.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) inventing a recipe (c) creating a cartoon (d) spotting spam
- 10.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
- 11.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
- 12.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
- 13.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
- 14.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
- 15.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
- 16.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) recognising (c) recommending (d) generating
- 17.True or false: “check who is missing” adds to bias. (a) True (b) False
- 18.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
- 19.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
- 20.🔍 Which is the odd one out? (a) writing a new poem (b) predicting rain (c) sorting photos by face (d) turning speech to text
- 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
- 22.Which of these uses AI? (a) a doorbell (b) a digital watch (c) a voice assistant (d) a stopwatch
- 23.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a prompt (d) a label
- 24.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
- 25.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) turning speech to text (c) composing a new tune (d) spotting spam
- 26.Which of these is good for training a model? (a) examples of every type (b) copies of one photo (c) only one kind of example (d) very few examples
- 27.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
- 28.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
- 29.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
- 30.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
- 31.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
- 32.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
- 33.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
- 34.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
- 35.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
- 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
- 37.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
- 38.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
- 39.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) recommending (c) predicting (d) generating
- 40.Which of these is bad for training a model? (a) examples of every type (b) blurry, unclear photos (c) photos in many lights (d) many varied examples
Answer key
- recognising
- True
- many labelled photos
- good for training
- artificial intelligence
- True
- AI
- AI has real feelings
- spotting spam
- False
- makes something new
- learn from data
- music or sound
- reduces bias
- bad for training
- recommending
- False
- True
- False
- writing a new poem
- training data
- a voice assistant
- a prompt
- data, model, prediction
- composing a new tune
- examples of every type
- bad for training
- uses AI
- a normal program
- a simple rule is enough
- False
- False
- a real check
- predicting
- a simple rule is enough
- a prediction
- people
- what training builds
- generating
- blurry, unclear photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students