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.True or false: “old emails marked spam” is a prediction. (a) True (b) False
- 2.True or false: “a cartoon of a dancing elephant” asks for text. (a) False (b) True
- 3.True or false: “add more of the same” adds to bias. (a) False (b) True
- 4.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
- 5.Which of these is good for training a model? (a) clear, sharp examples (b) only one kind of example (c) copies of one photo (d) very few examples
- 6.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
- 7.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) improves with more data (d) same steps every time
- 8.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
- 9.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) predicting (b) generating (c) recommending (d) recognising
- 10.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
- 11.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a password (d) a battery
- 12.🔍 Which is the odd one out? (a) drafting a letter (b) drawing a new picture (c) unlocking with a face (d) writing quiz questions
- 13.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) add more of the same (d) copy old unfair choices
- 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) inventing a recipe (c) writing a new poem (d) unlocking with a face
- 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
- 16.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
- 17.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
- 18.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
- 19.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
- 20.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
- 21.Which of these describes how AI works? (a) one set rule per case (b) uses rules people wrote (c) makes a best guess (d) does exactly as coded
- 22.Which of these is generative AI (it makes something new)? (a) predicting rain (b) suggesting a video (c) writing a new poem (d) unlocking with a face
- 23.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) examples of every type (d) only one kind of example
- 24.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) False (b) True
- 25.Which of these is not AI? (a) voice typing (b) an image generator (c) face unlock on a phone (d) a digital watch
- 26.True or false: “what training builds” is training data. (a) False (b) True
- 27.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) new data for testing (d) labels added at random
- 28.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
- 29.True or false: “naming a new fruit photo” is the model. (a) False (b) True
- 30.True or false: “naming a new leaf” is the model. (a) True (b) False
- 31.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
- 32.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
- 33.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
- 34.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
- 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
- 36.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) yes, it is smart (d) no, it follows rules
- 37.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
- 38.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
- 39.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
- 40.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing
Answer key
- False
- False
- True
- predicts likely words
- clear, sharp examples
- text
- same steps every time
- a real check
- recommending
- False
- a prompt
- unlocking with a face
- add varied examples
- unlocking with a face
- training data
- False
- sorts or predicts
- True
- bad for training
- sorts or predicts
- makes a best guess
- writing a new poem
- examples of every type
- True
- a digital watch
- False
- new data for testing
- a myth
- False
- False
- its training data
- False
- data, model, prediction
- True
- True
- no, it follows rules
- True
- True
- to see if it works
- a basic calculator
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students