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.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
- 2.Which of these is not AI? (a) an image generator (b) a fan regulator (c) face unlock on a phone (d) a spam filter
- 3.🔍 Which is the odd one out? (a) composing a new tune (b) making up a story (c) turning speech to text (d) creating a cartoon
- 4.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
- 5.True or false: “learns from examples” describes how AI works. (a) False (b) True
- 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
- 7.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a prompt (d) a label
- 8.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
- 9.🔍 Which is the odd one out? (a) AI knows everything (b) AI is never wrong (c) long answers are true (d) AI can be wrong
- 10.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
- 11.Which of these describes how a normal program works? (a) makes a best guess (b) one set rule per case (c) handles unseen examples (d) learns from examples
- 12.🎨 An image generator makes a picture from… (a) a text description (b) a phone number (c) your password (d) the weather
- 13.Which of these describes how a normal program works? (a) never learns from data (b) handles unseen examples (c) learns from examples (d) improves with more data
- 14.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recommending (c) predicting (d) recognising
- 15.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
- 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
- 17.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
- 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
- 19.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
- 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
- 21.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
- 22.True or false: “checking labels twice” is good for training a model. (a) True (b) False
- 23.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
- 24.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) very few examples (d) wrong labels
- 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
- 26.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
- 27.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
- 28.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) ignore complaints (d) test on one group only
- 29.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
- 30.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) predicting (c) recommending (d) generating
- 31.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
- 32.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
- 33.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
- 34.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
- 35.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
- 36.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
- 37.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) text (c) an image
- 38.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) recognising (c) predicting (d) generating
- 39.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) typing a new spoken word (d) naming a new leaf
- 40.True or false: “balance the data” helps reduce bias. (a) True (b) False
Answer key
- recommending
- a fan regulator
- turning speech to text
- not AI
- True
- the model
- a prompt
- labelled fruit photos
- AI can be wrong
- good for training
- one set rule per case
- a text description
- never learns from data
- recognising
- a real check
- True
- a normal program
- a prediction
- balanced data
- balanced data
- sorts or predicts
- True
- learn from data
- photos in many lights
- not spam
- True
- data, model, prediction
- test on many groups
- True
- generating
- AI
- it may get it wrong
- one-sided data
- labelled fruit photos
- False
- no, it can be wrong
- an image
- recognising
- recorded spoken words
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students