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 uses AI? (a) a kitchen weighing scale (b) a calculator (c) a spam filter (d) a digital watch
- 2.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) typing a new spoken word (d) what training builds
- 3.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
- 4.True or false: “wrong labels” is good for training a model. (a) False (b) True
- 5.🔍 Which is the odd one out? (a) a calculator (b) a printed timetable (c) a fan regulator (d) an image generator
- 6.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
- 7.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
- 8.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
- 9.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
- 10.🔍 Which is the odd one out? (a) an AI chatbot (b) a voice assistant (c) voice typing (d) a doorbell
- 11.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) what training builds
- 12.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
- 13.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
- 14.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) False (b) True
- 15.Which of these adds to bias? (a) check who is missing (b) use one group only (c) fix wrong labels (d) balance the data
- 16.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
- 17.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) copies of one photo (d) many varied examples
- 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
- 19.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) makes a best guess (d) does exactly as coded
- 20.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
- 21.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
- 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) reading number plates (c) inventing a recipe (d) drawing a new picture
- 23.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recommending (d) recognising
- 24.True or false: “recorded spoken words” is training data. (a) False (b) True
- 25.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) wrong labels (d) many varied examples
- 26.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
- 27.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
- 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
- 29.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
- 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) predicting rain (b) drafting a letter (c) composing a new tune (d) making up a story
- 31.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) very few examples (d) copies of one photo
- 32.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) generating (c) predicting (d) recommending
- 33.Which of these describes how a normal program works? (a) spots patterns in data (b) one set rule per case (c) improves with more data (d) makes a best guess
- 34.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
- 35.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
- 36.🔍 Which is the odd one out? (a) drawing a new picture (b) inventing a recipe (c) predicting rain (d) writing quiz questions
- 37.Which of these is not AI? (a) face unlock on a phone (b) a voice assistant (c) a light switch (d) a spam filter
- 38.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
- 39.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) drafting a letter (c) creating a cartoon (d) writing a new poem
- 40.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) naming a new leaf (d) the trained program
Answer key
- a spam filter
- what training builds
- False
- False
- an image generator
- labelled fruit photos
- a myth
- False
- data, model, prediction
- a doorbell
- old emails marked spam
- False
- False
- False
- use one group only
- artificial intelligence
- copies of one photo
- a prediction
- does exactly as coded
- it may get it wrong
- bad for training
- reading number plates
- recognising
- True
- many varied examples
- music or sound
- False
- few child voices in data
- False
- predicting rain
- many varied examples
- generating
- one set rule per case
- True
- True
- predicting rain
- a light switch
- recommending
- spotting spam
- the trained program
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students