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 of these describes how a normal program works? (a) never learns from data (b) handles unseen examples (c) makes a best guess (d) learns from examples
- 2.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) wrong labels (d) clear, sharp examples
- 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
- 4.True or false: “fix wrong labels” adds to bias. (a) False (b) True
- 5.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
- 6.Which of these uses AI? (a) a calculator (b) a stopwatch (c) a digital watch (d) video suggestions
- 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
- 8.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
- 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
- 10.Which of these is training data? (a) past weather records (b) the learned patterns (c) typing a new spoken word (d) the trained program
- 11.True or false: “makes a best guess” describes how AI works. (a) False (b) True
- 12.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) does exactly as coded (d) improves with more data
- 13.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
- 14.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
- 15.True or false: “recorded spoken words” is training data. (a) False (b) True
- 16.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 17.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
- 18.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
- 19.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
- 20.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) copies of one photo (d) very few examples
- 21.True or false: “new data for testing” is bad for training a model. (a) True (b) False
- 22.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
- 23.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
- 24.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) wrong labels (d) clear, sharp examples
- 25.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it has a screen (d) it is always right
- 26.Which of these uses AI? (a) a stopwatch (b) face unlock on a phone (c) a fan regulator (d) a digital watch
- 27.True or false: “naming a new leaf” is the model. (a) True (b) False
- 28.True or false: “past weather records” is the model. (a) True (b) False
- 29.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
- 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
- 31.Which of these is not AI? (a) a map predicting traffic (b) a voice assistant (c) voice typing (d) a light switch
- 32.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI knows everything (d) AI learns from data
- 33.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
- 34.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
- 35.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
- 36.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) look in your textbook (d) ask it to repeat
- 37.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) artificial intelligence (d) actual information
- 38.🔍 Which is the odd one out? (a) a digital watch (b) a kitchen weighing scale (c) an app translating signs (d) a microwave timer
- 39.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
- 40.Which of these is good for training a model? (a) testing on training data (b) many varied examples (c) only one kind of example (d) blurry, unclear photos
Answer key
- never learns from data
- wrong labels
- False
- False
- True
- video suggestions
- reduces bias
- False
- to see if it works
- past weather records
- True
- does exactly as coded
- old emails marked spam
- AI
- True
- AI
- a simple rule is enough
- adds to bias
- it may get it wrong
- checking labels twice
- False
- a myth
- a normal program
- clear, sharp examples
- it learns from examples
- face unlock on a phone
- False
- False
- training data
- spam
- a light switch
- AI knows everything
- True
- needs AI (learning)
- a simple rule is enough
- look in your textbook
- artificial intelligence
- an app translating signs
- the trained program
- many varied examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students