Computational Thinking Essentials

Froggy Jumps

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About this activity

Test your CT knowledge in 10 quick bites.

Created by

Lee Anderson

United States

Download the paper version to play

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Froggy Jumps Computational Thinking EssentialsOnline version Test your CT knowledge in 10 quick bites. by Lee Anderson 1 What are the four main parts of computational thinking? a Decomposition, coding, debugging, testing b Decomposition, pattern recognition, abstraction, algorithm design c Pattern matching, data mining, abstraction, planning 2 What does decomposition do in CT? a Transforms the problem into a simpler language b Skips steps to save time c Breaks a large problem into smaller parts 3 Pattern recognition helps CT by... a Adding random features b Finding similarities to reuse solutions c Ignoring past patterns 4 Abstraction focuses on... a All possible details b Hardware-specific operations c Important details and ignores irrelevant ones 5 What is algorithm design? a A vague plan b A clear, step-by-step set of instructions c A written code snippet only 6 CT can be used without writing code because it... a Requires no thinking at all b Is a problem-solving mindset applicable to many domains c Only works with computers 7 Which step best fits into CT when solving a login system? a Abstraction to focus on usernames and passwords b Designing the keyboard hardware c Creating flashy graphics 8 Why is pattern recognition useful across tasks? a It hides problem details b It eliminates the need for testing c It allows reusing proven solutions 9 In CT, why is decomposition important? a It hides dependencies b It increases complexity c It makes complex problems manageable 10 Which best describes CT as a skill? a Only for programmers b A structured way to think and solve problems c A memorization tool

Froggy Jumps

Computational Thinking EssentialsOnline version

Test your CT knowledge in 10 quick bites.

by Lee Anderson

What are the four main parts of computational thinking?

Decomposition, coding, debugging, testing

Decomposition, pattern recognition, abstraction, algorithm design

Pattern matching, data mining, abstraction, planning

What does decomposition do in CT?

Transforms the problem into a simpler language

Skips steps to save time

Breaks a large problem into smaller parts

Pattern recognition helps CT by...

Adding random features

Finding similarities to reuse solutions

Ignoring past patterns

Abstraction focuses on...

All possible details

Hardware-specific operations

Important details and ignores irrelevant ones

What is algorithm design?

A vague plan

A clear, step-by-step set of instructions

A written code snippet only

CT can be used without writing code because it...

Requires no thinking at all

Is a problem-solving mindset applicable to many domains

Only works with computers

Which step best fits into CT when solving a login system?

Abstraction to focus on usernames and passwords

Designing the keyboard hardware

Creating flashy graphics

Why is pattern recognition useful across tasks?

It hides problem details

It eliminates the need for testing

It allows reusing proven solutions

In CT, why is decomposition important?

It hides dependencies

It increases complexity

It makes complex problems manageable

Which best describes CT as a skill?

Only for programmers

A structured way to think and solve problems

A memorization tool

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Computational Thinking Essentials

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Froggy Jumps

Computational Thinking EssentialsOnline version

by Lee Anderson

What are the four main parts of computational thinking?

What does decomposition do in CT?

Pattern recognition helps CT by...

Abstraction focuses on...

What is algorithm design?

CT can be used without writing code because it...

Which step best fits into CT when solving a login system?

Why is pattern recognition useful across tasks?

In CT, why is decomposition important?

Which best describes CT as a skill?

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