Computational Thinking Quiz

What is Computational Thinking?

• A. A method of problem-solving designed to be carried out by humans only

• D. A process of thinking involved in formulating problems and expressing solutions in a way that can be executed by machines or humans

• C. A problem-solving method designed to be carried out by computers only

• B. A process of thinking that is not related to technology

Which of the following is a characteristic of Computational Thinking?

• A. Inability to organize and analyze data

• B. Inability to automate solutions through algorithmic thinking

• D. Inability to identify, analyze, and implement solutions efficiently

• C. Ability to generalize solutions for different problems

What is the purpose of Decomposition in Computational Thinking?

• B. To combine data, processes, or problems into larger parts

• C. To break down data, processes, or complex problems into smaller, more manageable parts

• A. To make problems more complex

• D. To ignore the details of a problem

What is Algorithm Design in Computational Thinking?

• A. Developing a step-by-step problem-solving guide that is not usable by others

• B. Developing a step-by-step problem-solving guide that can be used by others to solve the same problem

• C. Developing a problem-solving guide that is only applicable to computer programs

• D. Developing a problem-solving guide that is not structured or logical

How can Computational Thinking be applied in everyday life?

• A. It cannot be applied outside of computer programming

• D. By limiting its use to academic disciplines only

• B. By using it to solve problems effectively and efficiently

• C. By avoiding critical thinking in problem-solving

What is the purpose of Pattern Recognition in Computational Thinking?

• A. To avoid recognizing patterns in data

• B. To identify similarities or differences in patterns, trends, and regularities in data

• C. To complicate the process of making predictions based on data

• D. To ignore patterns in data when solving problems

How does Computational Thinking help in organizing and analyzing data?

• A. By making data representation more complex

• B. By avoiding data abstraction

• C. By representing data through abstraction with a model or simulation

• D. By automating data analysis without human intervention

What is the role of Abstraction in Computational Thinking?

• A. To avoid generalizing solutions for different problems

• B. To identify specific principles that result in patterns, trends, and regularities

• C. To make data representation more specific

• D. To generalize and identify general principles that result in patterns, trends, and regularities

Why is Computational Thinking considered essential in the 21st century?

• B. Because it is not applicable in problem-solving

• D. Because it hinders problem-solving abilities

• A. Because it limits logical and structured thinking

• C. Because it trains the brain to think logically, structured, and creatively

How does Computational Thinking help in automating solutions?

• C. By identifying, analyzing, and implementing solutions inefficiently

• B. By not using efficient and effective combinations of steps/resources

• A. By avoiding algorithmic thinking

• D. By thinking algorithmically and automating solutions through step-by-step processes