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.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False
- 2.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
- 3.True or false: “naming a new fruit photo” is the model. (a) False (b) True
- 4.Which of these uses AI? (a) a voice assistant (b) a torch (c) a microwave timer (d) a light switch
- 5.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
- 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) sorting photos by face (c) writing quiz questions (d) inventing a recipe
- 7.Which of these describes how a normal program works? (a) follows fixed rules (b) improves with more data (c) handles unseen examples (d) makes a best guess
- 8.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
- 9.Which of these uses AI? (a) a fan regulator (b) a microwave timer (c) an AI chatbot (d) a doorbell
- 10.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
- 11.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) a list of rules only (d) many labelled photos
- 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) skip testing (d) use one group only
- 13.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) False (b) True
- 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
- 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
- 16.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) what training builds (d) flagging a new email
- 17.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the textbook (c) stop studying (d) trust the AI
- 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
- 19.🔍 Which is the odd one out? (a) a torch (b) a printed timetable (c) a microwave timer (d) an AI chatbot
- 20.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) an AI chatbot (c) an image generator (d) voice typing
- 21.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) recorded spoken words (d) past weather records
- 22.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
- 23.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
- 24.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) photos in many lights (d) only one kind of example
- 25.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
- 26.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
- 27.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) copy old unfair choices (d) balance the data
- 28.True or false: “same steps every time” describes how AI works. (a) True (b) False
- 29.Which of these is the model? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) flagging a new email
- 30.Which of these uses AI? (a) a printed timetable (b) a map predicting traffic (c) a microwave timer (d) a digital watch
- 31.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) follows fixed rules (d) makes a best guess
- 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
- 33.True or false: “improves with more data” describes how AI works. (a) True (b) False
- 34.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
- 35.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
- 36.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) very few examples (d) testing on training data
- 37.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
- 38.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 39.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) skip testing (d) check who is missing
- 40.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
Answer key
- False
- the model
- False
- a voice assistant
- False
- sorting photos by face
- follows fixed rules
- True
- an AI chatbot
- good for training
- many labelled photos
- test on many groups
- False
- not spam
- spam
- recorded spoken words
- trust the textbook
- a prediction
- an AI chatbot
- a kitchen weighing scale
- flagging a new email
- a simple rule is enough
- False
- photos in many lights
- False
- True
- balance the data
- False
- the learned patterns
- a map predicting traffic
- makes a best guess
- few child voices in data
- True
- True
- False
- many varied examples
- True
- AI
- skip testing
- to see if it works
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students