Frog Jumps: Kids ML Quiz

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ML basics for Scratch kids

Created by

Ruhiya Rehaman

United Arab Emirates

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Froggy Jumps Frog Jumps: Kids ML QuizOnline version ML basics for Scratch kids by Ruhiya Rehaman 1 Why does a machine need an AI brain, sensors, and data? a To look cool and show off. b To think, sense the world, and learn from examples. c To run on batteries only. 2 What helps the machine learn from data? a Only fancy hardware matters. b Random guesses with no data. c Patterns and examples drawn from data. 3 Can a machine become smart just by training it? a It can improve with good data and design. b It becomes smart instantly. c Training isn’t needed at all. 4 What does a machine need to train effectively? a Only magnets and wires. b Data, labels, and a learning algorithm. c A single photo and no code. 5 Who trains the machine? a Computers train themselves without data. b Trees in a garden. c People like engineers or teachers (and data). 6 How does Scratch relate to machine learning for kids? a Scratch is a data server for ML. b Scratch helps kids explore ML concepts with blocks. c Scratch can’t be used with ML at all. 7 What is data in machine learning? a The model’s hat or clothes. b Information used to teach the model. c A brand-new robot. 8 Why are sensors important in ML projects? a They collect real-world data for the model to learn from. b They delete data automatically. c They only decorate the kit. 9 Can machines learn from mistakes? a No, they never adjust after training. b Yes, through feedback and error signals. c They always know best without feedback. 10 What is the main goal of ML in kids projects? a Make computers sing and dance only. b Help computers understand and predict from examples. c Build tall towers with code.

Froggy Jumps

Frog Jumps: Kids ML QuizOnline version

ML basics for Scratch kids

by Ruhiya Rehaman

Why does a machine need an AI brain, sensors, and data?

To look cool and show off.

To think, sense the world, and learn from examples.

To run on batteries only.

What helps the machine learn from data?

Only fancy hardware matters.

Random guesses with no data.

Patterns and examples drawn from data.

Can a machine become smart just by training it?

It can improve with good data and design.

It becomes smart instantly.

Training isn’t needed at all.

What does a machine need to train effectively?

Only magnets and wires.

Data, labels, and a learning algorithm.

A single photo and no code.

Who trains the machine?

Computers train themselves without data.

Trees in a garden.

People like engineers or teachers (and data).

How does Scratch relate to machine learning for kids?

Scratch is a data server for ML.

Scratch helps kids explore ML concepts with blocks.

Scratch can’t be used with ML at all.

What is data in machine learning?

The model’s hat or clothes.

Information used to teach the model.

A brand-new robot.

Why are sensors important in ML projects?

They collect real-world data for the model to learn from.

They delete data automatically.

They only decorate the kit.

Can machines learn from mistakes?

No, they never adjust after training.

Yes, through feedback and error signals.

They always know best without feedback.

What is the main goal of ML in kids projects?

Make computers sing and dance only.

Help computers understand and predict from examples.

Build tall towers with code.

You can integrate the game into an LMS compatible with LTI 1.1 or LTI 1.3 such as Canvas, Moodle, or Blackboard. This way, the scores will be automatically saved into the platform’s gradebook.

Frog Jumps: Kids ML Quiz

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Froggy Jumps

Frog Jumps: Kids ML QuizOnline version

by Ruhiya Rehaman

Why does a machine need an AI brain, sensors, and data?

What helps the machine learn from data?

Can a machine become smart just by training it?

What does a machine need to train effectively?

Who trains the machine?

How does Scratch relate to machine learning for kids?

What is data in machine learning?

Why are sensors important in ML projects?

Can machines learn from mistakes?

What is the main goal of ML in kids projects?

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