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) predicting (d) recognising
- 2.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
- 3.True or false: “checking labels twice” is good for training a model. (a) True (b) False
- 4.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) flagging a new email (d) old emails marked spam
- 5.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
- 6.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 7.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) use one group only
- 8.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) gives a likely answer (d) uses rules people wrote
- 9.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
- 10.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
- 11.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) music or sound (c) an image
- 12.Which of these uses AI? (a) a microwave timer (b) a digital watch (c) a printed timetable (d) voice typing
- 13.Which of these is good for training a model? (a) checking labels twice (b) only one kind of example (c) labels added at random (d) testing on training data
- 14.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) an image (c) music or sound
- 15.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
- 16.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
- 17.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
- 18.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) handles unseen examples (d) same steps every time
- 19.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
- 20.🎨 An image generator makes a picture from… (a) your password (b) a text description (c) the weather (d) a phone number
- 21.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
- 22.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
- 23.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
- 24.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
- 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
- 26.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) the trained program
- 27.🔍 Which is the odd one out? (a) a voice assistant (b) voice typing (c) a light switch (d) photos grouped by face
- 28.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
- 29.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) copies of one photo (d) photos in many lights
- 30.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) add more of the same (d) check who is missing
- 31.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
- 32.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
- 33.🔍 Which is the odd one out? (a) a spam filter (b) a map predicting traffic (c) a voice assistant (d) a digital watch
- 34.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
- 35.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
- 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
- 37.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) copy old unfair choices
- 38.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
- 39.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
- 40.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
Answer key
- recognising
- one-sided data
- True
- the learned patterns
- True
- uses AI
- test on many groups
- uses rules people wrote
- False
- True
- text
- voice typing
- checking labels twice
- music or sound
- the model
- the trained program
- True
- handles unseen examples
- False
- a text description
- needs AI (learning)
- True
- sorts or predicts
- not AI
- spam
- old emails marked spam
- a light switch
- uses AI
- photos in many lights
- add more of the same
- a basic calculator
- needs AI (learning)
- a digital watch
- no, it follows rules
- False
- bias from data
- copy old unfair choices
- it learns patterns
- True
- reduces bias
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students