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.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
- 2.🔍 Which is the odd one out? (a) clear, sharp examples (b) labels added at random (c) correct labels (d) new data for testing
- 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
- 4.Which of these describes how a normal program works? (a) makes a best guess (b) same steps every time (c) gives a likely answer (d) handles unseen examples
- 5.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
- 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
- 7.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
- 8.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) generating (c) predicting (d) recommending
- 9.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
- 10.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
- 11.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
- 12.💬 What do we call the request you type to a generative AI? (a) a password (b) a prompt (c) a label (d) a battery
- 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) writing quiz questions (c) inventing a recipe (d) reading number plates
- 14.🔍 Which is the odd one out? (a) long answers are true (b) AI knows everything (c) AI can be wrong (d) confident means correct
- 15.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
- 16.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 17.True or false: “many varied examples” is good for training a model. (a) True (b) False
- 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
- 19.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) the trained program (d) recorded spoken words
- 20.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
- 21.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
- 22.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) many varied examples (d) very few examples
- 23.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) wrong labels (d) many varied examples
- 24.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI can make up facts (d) AI always checks facts
- 25.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
- 26.🔍 Which is the odd one out? (a) an AI chatbot (b) a map predicting traffic (c) a light switch (d) face unlock on a phone
- 27.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
- 28.True or false: “check who is missing” adds to bias. (a) True (b) False
- 29.🏷️ 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
- 30.Which of these describes how AI works? (a) one set rule per case (b) uses rules people wrote (c) gives a likely answer (d) follows fixed rules
- 31.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
- 32.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
- 33.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 34.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) makes a best guess (d) uses rules people wrote
- 35.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) new data for testing (d) testing on training data
- 36.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) copies of one photo (d) many varied examples
- 37.🔍 Which is the odd one out? (a) spotting spam (b) writing quiz questions (c) creating a cartoon (d) drawing a new picture
- 38.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) text (c) music or sound
- 39.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
- 40.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) the weather (d) your password
Answer key
- learn from data
- labels added at random
- bias from data
- same steps every time
- adds to bias
- training data
- check it on paper
- generating
- True
- sorts or predicts
- True
- a prompt
- reading number plates
- AI can be wrong
- True
- AI
- True
- False
- recorded spoken words
- makes something new
- no, check it anyway
- many varied examples
- wrong labels
- AI always checks facts
- False
- a light switch
- needs AI (learning)
- False
- not spam
- gives a likely answer
- its training data
- a simple rule is enough
- needs AI (learning)
- uses rules people wrote
- testing on training data
- many varied examples
- spotting spam
- an image
- no
- a text description
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students