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 does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
- 3.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) balance the data (d) use one group only
- 4.True or false: “never learns from data” describes how AI works. (a) False (b) True
- 5.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) an image (c) text
- 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
- 7.Which of these uses AI? (a) a fan regulator (b) photos grouped by face (c) a light switch (d) a microwave timer
- 8.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) new data for testing (d) blurry, unclear photos
- 9.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
- 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
- 11.True or false: “only one kind of example” is good for training a model. (a) False (b) True
- 12.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
- 13.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
- 14.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
- 15.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 16.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) handles unseen examples (d) uses rules people wrote
- 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
- 18.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
- 19.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
- 20.Which of these uses AI? (a) a fan regulator (b) a calculator (c) a kitchen weighing scale (d) voice typing
- 21.Which of these uses AI? (a) a doorbell (b) a light switch (c) an image generator (d) a microwave timer
- 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
- 23.Which of these adds to bias? (a) ask different people (b) add varied examples (c) skip testing (d) balance the data
- 24.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
- 25.🔍 Which is the odd one out? (a) AI is never wrong (b) AI learns from data (c) confident means correct (d) AI always checks facts
- 26.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) suggesting a video (d) unlocking with a face
- 27.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
- 28.Which of these describes how AI works? (a) handles unseen examples (b) never learns from data (c) one set rule per case (d) same steps every time
- 29.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) recorded spoken words (d) tomorrow’s rain guess
- 30.Which of these describes how a normal program works? (a) handles unseen examples (b) gives a likely answer (c) spots patterns in data (d) one set rule per case
- 31.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
- 32.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
- 33.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
- 34.🔍 Which is the odd one out? (a) a spam filter (b) an image generator (c) photos grouped by face (d) a digital watch
- 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) creating a cartoon (c) drafting a letter (d) reading number plates
- 36.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
- 37.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
- 38.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
- 39.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
- 40.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
Answer key
- needs AI (learning)
- training data
- use one group only
- False
- an image
- a prediction
- photos grouped by face
- new data for testing
- False
- reduces bias
- False
- a normal program
- False
- a myth
- AI
- uses rules people wrote
- reduces bias
- text
- a normal program
- voice typing
- an image generator
- one-sided data
- skip testing
- past weather records
- AI learns from data
- writing a new poem
- True
- handles unseen examples
- tomorrow’s rain guess
- one set rule per case
- True
- data, model, prediction
- sorts or predicts
- a digital watch
- reading number plates
- people
- labelled fruit photos
- False
- True
- not a real check
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students