Advanced Computational Thinking Quiz

Froggy Jumps

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CT concepts and strategies

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Bloomback

Nigeria

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Froggy Jumps Advanced Computational Thinking QuizOnline version CT concepts and strategies by Bloomback 1 What is a key goal of abstraction in a computing problem? a Hide unnecessary details to focus on essential ideas b Record every detail to avoid omissions c Make the problem as complex as possible 2 Which cognitive skill helps break a problem into smaller parts? a Aggregation b Decomposition c Random guessing 3 Which concept helps identify reusable patterns across problems? a Memory allocation b Runtime evaluation c Pattern recognition 4 What is a heuristic in algorithm design? a An exact solution method b A hardware requirement c A practical rule-of-thumb to guide decisions 5 Which step follows formulating a problem in computational thinking? a Ignoring inputs b Designing a plan or algorithm c Running the code without testing 6 Which metric is commonly used to evaluate algorithm efficiency? a Disk fragmentation b Time complexity c Color depth 7 Which practice helps locate bugs efficiently? a Blind guessing b Debugging with hypotheses and tests c Skipping tests 8 Which type of thinking combines steps to solve problems efficiently? a Algorithmic thinking b Emotional thinking c Functional thinking 9 What does problem abstraction exclude to simplify analysis? a Non-essential details and constraints b All possible outcomes c Key objectives 10 Which strategy reduces algorithmic complexity by avoiding repetition? a Ignoring input size b Duplicating code c Using recursion with memoization or iteration

Froggy Jumps

Advanced Computational Thinking QuizOnline version

CT concepts and strategies

by Bloomback

What is a key goal of abstraction in a computing problem?

Hide unnecessary details to focus on essential ideas

Record every detail to avoid omissions

Make the problem as complex as possible

Which cognitive skill helps break a problem into smaller parts?

Aggregation

Decomposition

Random guessing

Which concept helps identify reusable patterns across problems?

Memory allocation

Runtime evaluation

Pattern recognition

What is a heuristic in algorithm design?

An exact solution method

A hardware requirement

A practical rule-of-thumb to guide decisions

Which step follows formulating a problem in computational thinking?

Ignoring inputs

Designing a plan or algorithm

Running the code without testing

Which metric is commonly used to evaluate algorithm efficiency?

Disk fragmentation

Time complexity

Color depth

Which practice helps locate bugs efficiently?

Blind guessing

Debugging with hypotheses and tests

Skipping tests

Which type of thinking combines steps to solve problems efficiently?

Algorithmic thinking

Emotional thinking

Functional thinking

What does problem abstraction exclude to simplify analysis?

Non-essential details and constraints

All possible outcomes

Key objectives

Which strategy reduces algorithmic complexity by avoiding repetition?

Ignoring input size

Duplicating code

Using recursion with memoization or iteration

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Advanced Computational Thinking Quiz

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Advanced Computational Thinking QuizOnline version

by Bloomback

What is a key goal of abstraction in a computing problem?

Which cognitive skill helps break a problem into smaller parts?

Which concept helps identify reusable patterns across problems?

What is a heuristic in algorithm design?

Which step follows formulating a problem in computational thinking?

Which metric is commonly used to evaluate algorithm efficiency?

Which practice helps locate bugs efficiently?

Which type of thinking combines steps to solve problems efficiently?

What does problem abstraction exclude to simplify analysis?

Which strategy reduces algorithmic complexity by avoiding repetition?

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