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) clear, sharp examples (b) very few examples (c) photos in many lights (d) examples of every type
- 2.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) improves with more data (d) uses rules people wrote
- 3.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
- 4.🔍 Which is the odd one out? (a) long answers are true (b) AI copies data patterns (c) AI always checks facts (d) AI is never wrong
- 5.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
- 6.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) correct labels (d) copies of one photo
- 7.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) wrong labels (d) photos in many lights
- 8.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
- 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
- 10.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
- 11.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
- 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
- 13.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
- 14.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
- 15.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
- 16.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) test on one group only
- 17.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) test on many groups (d) use one group only
- 18.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
- 19.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a text description (d) a phone number
- 20.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
- 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 22.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) blurry, unclear photos (d) many varied examples
- 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
- 24.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
- 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
- 26.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) improves with more data (d) never learns from data
- 27.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
- 28.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
- 29.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
- 30.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
- 31.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
- 32.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) testing on training data (d) checking labels twice
- 33.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
- 34.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf
- 35.Which of these describes how AI works? (a) does exactly as coded (b) makes a best guess (c) same steps every time (d) one set rule per case
- 36.🧪 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
- 37.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) yes, it is smart (d) only at night
- 38.🔍 Which is the odd one out? (a) creating a cartoon (b) suggesting a video (c) drafting a letter (d) making up a story
- 39.🐶 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
- 40.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
Answer key
- very few examples
- uses rules people wrote
- sorts or predicts
- AI copies data patterns
- one-sided data
- copies of one photo
- photos in many lights
- True
- bias from data
- False
- a basic calculator
- spam
- makes something new
- True
- a normal program
- add varied examples
- use one group only
- a fact
- a text description
- True
- balanced data
- many varied examples
- balanced data
- False
- a prediction
- improves with more data
- True
- False
- recommending
- a real check
- a myth
- checking labels twice
- False
- the trained program
- makes a best guess
- to see if it works
- no, it follows rules
- suggesting a video
- many labelled photos
- text
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students