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 is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) only one kind of example (d) checking labels twice
- 2.🔍 Which is the odd one out? (a) AI learns from data (b) AI can mix up numbers (c) AI copies data patterns (d) AI knows everything
- 3.Which of these describes how AI works? (a) one set rule per case (b) gives a likely answer (c) follows fixed rules (d) does exactly as coded
- 4.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
- 5.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
- 6.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
- 7.Which of these is good for training a model? (a) copies of one photo (b) new data for testing (c) only one kind of example (d) wrong labels
- 8.Which of these is good for training a model? (a) blurry, unclear photos (b) many varied examples (c) labels added at random (d) testing on training data
- 9.Which of these is not AI? (a) a map predicting traffic (b) an app translating signs (c) a calculator (d) a voice assistant
- 10.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) labels added at random (d) clear, sharp examples
- 11.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) generating (c) recognising (d) predicting
- 12.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
- 13.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
- 14.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
- 15.True or false: “the learned patterns” is training data. (a) False (b) True
- 16.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
- 17.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
- 18.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
- 19.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
- 20.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
- 21.Which of these is bad for training a model? (a) examples of every type (b) photos in many lights (c) copies of one photo (d) checking labels twice
- 22.🔍 Which is the odd one out? (a) a fan regulator (b) a kitchen weighing scale (c) a map predicting traffic (d) a doorbell
- 23.Which of these describes how AI works? (a) learns from examples (b) follows fixed rules (c) same steps every time (d) one set rule per case
- 24.🔍 Which is the odd one out? (a) a stopwatch (b) an image generator (c) a kitchen weighing scale (d) a torch
- 25.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI can mix up numbers (d) AI is never wrong
- 26.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
- 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
- 28.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
- 29.Which of these is training data? (a) the trained program (b) the learned patterns (c) what training builds (d) labelled fruit photos
- 30.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) uses rules people wrote (d) improves with more data
- 31.Which of these is a fact about AI? (a) AI always checks facts (b) AI can make up facts (c) AI knows everything (d) long answers are true
- 32.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) ignore complaints (d) test on many groups
- 33.Which of these describes how AI works? (a) uses rules people wrote (b) same steps every time (c) one set rule per case (d) makes a best guess
- 34.🏷️ 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
- 35.🔍 Which is the odd one out? (a) a doorbell (b) photos grouped by face (c) a calculator (d) a microwave timer
- 36.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
- 37.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) balance the data (d) use one group only
- 38.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
- 39.True or false: “correct labels” is good for training a model. (a) True (b) False
- 40.Which of these is the model? (a) past weather records (b) what training builds (c) naming a new fruit photo (d) naming a new leaf
Answer key
- only one kind of example
- AI knows everything
- gives a likely answer
- True
- it learns patterns
- a basic calculator
- new data for testing
- many varied examples
- a calculator
- clear, sharp examples
- recognising
- to see if it works
- a normal program
- a fact
- False
- data, model, prediction
- uses AI
- True
- False
- True
- copies of one photo
- a map predicting traffic
- learns from examples
- an image generator
- AI can mix up numbers
- a real check
- training data
- True
- labelled fruit photos
- improves with more data
- AI can make up facts
- ignore complaints
- makes a best guess
- not spam
- photos grouped by face
- its training data
- balance the data
- predicting
- True
- what training builds
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students