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 car camera reading a speed sign? (a) recommending (b) generating (c) recognising (d) predicting
- 2.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
- 3.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) handles unseen examples (d) one set rule per case
- 4.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
- 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
- 6.🔍 Which is the odd one out? (a) a voice assistant (b) an app translating signs (c) an image generator (d) a printed timetable
- 7.True or false: a map app guessing how long a trip will take is AI generating something new. (a) True (b) False
- 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
- 9.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
- 10.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
- 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
- 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
- 13.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) one set rule per case (d) gives a likely answer
- 14.True or false: “never learns from data” describes how AI works. (a) True (b) False
- 15.🏷️ 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) not spam (b) spam
- 16.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) follows fixed rules (d) handles unseen examples
- 17.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
- 18.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) reading number plates (c) composing a new tune (d) unlocking with a face
- 19.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
- 20.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
- 21.True or false: “a logo idea for the eco club” asks for music or sound. (a) False (b) True
- 22.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
- 23.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
- 24.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) follows fixed rules (d) spots patterns in data
- 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
- 26.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) use one group only
- 27.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) check who is missing (d) copy old unfair choices
- 28.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) recognising (c) generating (d) predicting
- 29.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
- 30.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
- 31.🔍 Which is the odd one out? (a) new data for testing (b) copies of one photo (c) wrong labels (d) blurry, unclear photos
- 32.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
- 33.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
- 34.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
- 35.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) skip testing (d) copy old unfair choices
- 36.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
- 37.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
- 38.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
- 39.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
- 40.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
Answer key
- recognising
- not AI
- one set rule per case
- an image
- balanced data
- a printed timetable
- False
- labelled fruit photos
- False
- a simple rule is enough
- a prediction
- not spam
- gives a likely answer
- False
- not spam
- handles unseen examples
- False
- composing a new tune
- True
- True
- False
- no, check it anyway
- True
- spots patterns in data
- spam
- use one group only
- check who is missing
- generating
- recognising
- False
- new data for testing
- not AI
- False
- True
- test on many groups
- AI
- True
- False
- bad for training
- good for training
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students