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Understand the problem: Clearly define the problem that needs to be solved using computational thinking.
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Decompose the problem: Break down the problem into smaller, more manageable parts.
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Recognize patterns: Look for patterns or trends that can help in solving the problem.
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Abstraction: Identify the key aspects of the problem and ignore unnecessary details.
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Algorithm design: Develop a step-by-step plan to solve the problem using logical reasoning.
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Test and refine: Implement the algorithm and test it to ensure it works correctly. Make necessary adjustments if needed.

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Computational thinking and its concepts are useful for anyone involved in problem-solving or decision-making processes.
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It is particularly beneficial for students, educators, programmers, engineers, scientists, and anyone working in fields that require analytical and logical thinking.
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Computational thinking is the thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information-processing agent.
Anyone who is involved in problem-solving tasks or programming is required to apply computational thinking.
To fill out computational thinking, one must break down complex problems into smaller parts, identify patterns, and develop algorithms to solve them.
The purpose of computational thinking is to enhance problem-solving abilities and to enable efficient programming and algorithm development.
The information reported on computational thinking includes problem descriptions, algorithms, and solutions developed using computational thinking strategies.
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