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 is the odd one out? (a) only one kind of example (b) clear, sharp examples (c) testing on training data (d) labels added at random
- 2.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
- 3.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) uses rules people wrote (d) makes a best guess
- 4.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
- 5.True or false: a music app suggesting a song you may like is AI recognising something. (a) True (b) False
- 6.Which of these uses AI? (a) a printed timetable (b) a stopwatch (c) a fan regulator (d) an image generator
- 7.🔍 Which is the odd one out? (a) a light switch (b) an app translating signs (c) a calculator (d) a kitchen weighing scale
- 8.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
- 9.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 10.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI answers need checking (d) AI is never wrong
- 11.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
- 12.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) the trained program
- 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
- 14.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
- 15.🔍 Which is the odd one out? (a) writing a new poem (b) spotting spam (c) suggesting a video (d) reading number plates
- 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
- 17.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) suggesting a video (c) spotting a sick leaf (d) spotting spam
- 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
- 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
- 20.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) music or sound (c) text
- 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing a new poem (c) spotting a sick leaf (d) inventing a recipe
- 22.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
- 23.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
- 24.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) photos in many lights
- 25.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
- 26.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
- 27.✨ What does generative AI do? (a) makes new content (b) only stores files (c) only adds numbers (d) charges batteries
- 28.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
- 29.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) test on many groups (d) add varied examples
- 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
- 31.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
- 32.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
- 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
- 34.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
- 35.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 36.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
- 37.True or false: “many varied examples” is bad for training a model. (a) False (b) True
- 38.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
- 39.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) an image (c) music or sound
- 40.Which of these uses AI? (a) face unlock on a phone (b) a stopwatch (c) a calculator (d) a light switch
Answer key
- clear, sharp examples
- recommending
- uses rules people wrote
- False
- False
- an image generator
- an app translating signs
- a simple rule is enough
- AI
- AI is never wrong
- True
- 500 labelled leaf photos
- a prediction
- a real check
- writing a new poem
- balanced data
- inventing a recipe
- more varied data
- the learned patterns
- music or sound
- spotting a sick leaf
- the learned patterns
- not AI
- photos in many lights
- text
- True
- makes new content
- False
- skip testing
- False
- True
- needs AI (learning)
- a prediction
- uses AI
- makes something new
- no, it can be wrong
- False
- sorts or predicts
- text
- face unlock on a phone
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students