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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
- 2.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
- 3.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) False (b) True
- 4.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) spots patterns in data (d) uses rules people wrote
- 5.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
- 6.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) 500 labelled leaf photos (d) what training builds
- 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
- 8.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
- 9.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
- 10.True or false: “AI always checks facts” is a myth about AI. (a) True (b) False
- 11.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
- 12.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
- 13.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
- 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
- 15.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
- 16.🔍 Which is the odd one out? (a) AI has real feelings (b) AI answers need checking (c) AI learns from data (d) AI can be wrong
- 17.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
- 18.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
- 19.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
- 20.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) spots patterns in data (d) follows fixed rules
- 21.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
- 22.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
- 23.Which of these is generative AI (it makes something new)? (a) spotting spam (b) composing a new tune (c) turning speech to text (d) unlocking with a face
- 24.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
- 25.True or false: turning your spoken words into typed text is AI recommending something. (a) True (b) False
- 26.🔍 Which is the odd one out? (a) drawing a new picture (b) writing a new poem (c) sorting photos by face (d) creating a cartoon
- 27.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) face unlock (d) a spam filter
- 28.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
- 29.🔍 Which is the odd one out? (a) long answers are true (b) AI copies data patterns (c) AI can mix up numbers (d) AI learns from data
- 30.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
- 31.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
- 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 of these is training data? (a) what training builds (b) typing a new spoken word (c) past weather records (d) tomorrow’s rain guess
- 34.True or false: “testing on training data” is bad for training a model. (a) False (b) True
- 35.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
- 36.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
- 37.True or false: “a picture of a castle made of mangoes” asks for text. (a) False (b) True
- 38.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) recorded spoken words (d) the learned patterns
- 39.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
- 40.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
Answer key
- training data
- False
- False
- spots patterns in data
- True
- 500 labelled leaf photos
- its training data
- False
- a fact
- True
- a simple rule is enough
- data, model, prediction
- True
- training data
- a simple rule is enough
- AI has real feelings
- a real check
- not a real check
- True
- follows fixed rules
- False
- a myth
- composing a new tune
- True
- False
- sorting photos by face
- a basic calculator
- to see if it works
- long answers are true
- False
- False
- a simple rule is enough
- past weather records
- True
- False
- False
- False
- the learned patterns
- True
- good for training
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students