Podcast
Questions and Answers
What is the total number of cubes in diagram a?
What is the total number of cubes in diagram a?
27
How many single squared faces are there on a cube in diagram (a)?
How many single squared faces are there on a cube in diagram (a)?
6
How many cubes are missing from the image of (b) to make a complete cube?
How many cubes are missing from the image of (b) to make a complete cube?
12
Which of these options are part of computational thinking? (Select all that apply)
Which of these options are part of computational thinking? (Select all that apply)
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What is the name of the fourth part of computational thinking that was not listed in the brain image?
What is the name of the fourth part of computational thinking that was not listed in the brain image?
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Computational thinking involves using a computer.
Computational thinking involves using a computer.
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Computational thinking enables people to work out exactly what to tell the computer to do.
Computational thinking enables people to work out exactly what to tell the computer to do.
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What is the most appropriate question to ask when considering a complex problem?
What is the most appropriate question to ask when considering a complex problem?
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A crime has been committed. Solving a crime can be a very ______ problem as there are many things to consider.
A crime has been committed. Solving a crime can be a very ______ problem as there are many things to consider.
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What is the first step that needs to be done when thinking about problems using computational thinking?
What is the first step that needs to be done when thinking about problems using computational thinking?
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What are the four key techniques of computational thinking?
What are the four key techniques of computational thinking?
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How is computational thinking like the legs of a table?
How is computational thinking like the legs of a table?
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Thinking computationally is thinking like a computer.
Thinking computationally is thinking like a computer.
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What is the difference between programming and computational thinking?
What is the difference between programming and computational thinking?
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What is the first question you need to ask before starting to solve a complex problem?
What is the first question you need to ask before starting to solve a complex problem?
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What is the second question you need to consider before starting to solve a complex problem?
What is the second question you need to consider before starting to solve a complex problem?
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What is the meaning of finding patterns within a problem?
What is the meaning of finding patterns within a problem?
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What type of problem does pattern recognition aid in solving?
What type of problem does pattern recognition aid in solving?
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What is the role of abstraction in the process of computational thinking?
What is the role of abstraction in the process of computational thinking?
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What does an algorithm provide to solve a problem?
What does an algorithm provide to solve a problem?
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Algorithms are only used in computer programing.
Algorithms are only used in computer programing.
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Why is the order of steps in an algorithm very important?
Why is the order of steps in an algorithm very important?
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What is pseudocode?
What is pseudocode?
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What does an algorithm use to represent specific steps?
What does an algorithm use to represent specific steps?
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What are two ways to visually represent an algorithm?
What are two ways to visually represent an algorithm?
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How do you know if an algorithm is working properly?
How do you know if an algorithm is working properly?
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Match the following terms with their descriptions.
Match the following terms with their descriptions.
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Study Notes
Computational Thinking
- Computational thinking is a problem-solving approach
- It's useful for tackling complex problems
- It involves breaking down problems into smaller parts
- It uses patterns to solve similar problems
- It focuses on the essential details of the problem
- It develops step-by-step solutions
Decomposition
- Breaking down complex problems into simpler parts
- Making the problem more manageable and easier to understand
- Separating the problem into smaller, independent parts
- Solving each part individually
- Combining the solutions to the smaller problems to form the overall solution
Pattern Recognition
- Identifying similarities and patterns in problems
- Recognizing common characteristics
- Using similar solutions for similar problems
- Finding ways to make the problem-solving process more efficient
- Using patterns to solve problems more easily and quickly
Abstraction
- Focusing on the important information
- Ignoring the irrelevant details
- Creating a general/simplified representation of the problem
- Identifying the essential characteristics without the extra details
- Removing unnecessary details in order to simplify and streamline
Algorithm
- A step-by-step approach to solve a problem
- A set of instructions that clearly define how to solve a problem
- Instructions must be followed in a specified order
- Provides a clear and organised method to solve problems
- This ensures all steps are followed accurately
Flowcharts
- Diagrams representing a set of instructions for solving a problem
- Uses standard symbols to represent different instructions
- Can be broken into many steps for providing a detailed explanation
- Can be simplified to show steps that happen in fewer steps
- They are used to create a visual representation of instructions.
Pseudocode
- A simple method for outlining instructions
- Not limited to specific language
- Steps are written on a single line and in sequence
- Instructions are written in uppercase
- Variables/values in lowercase, messages in sentence case
- INPUT asks a question, OUTPUT prints a message on the screen
Looping
- When a statement executes in a loop until a specific state/condition is reached
- Loops continually repeat until a condition/state is false
- Makes programming more efficient
Testing
- A crucial step in any problem-solving process
- Involves trying out your solution
- Identifying any problems encountered during the testing and making changes/improvements
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Description
This quiz delves into computational thinking, emphasizing its importance in problem-solving. It covers key concepts such as decomposition, pattern recognition, and abstraction to help tackle complex issues effectively. Test your understanding of how these strategies can simplify and enhance the problem-solving process.