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- Computational thinking involves four steps1234:
- Decomposition: Breaking down a complex problem into smaller parts or questions.
- Pattern recognition: Identifying trends, differences or similarities in data.
- Abstraction: Removing unnecessary elements or data to focus on what’s useful in solving a problem.
- Algorithm design: Creating a timeline and plan for execution.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.There are four steps in computational thinking: Taking the problem and breaking it down into smaller components. Looking for patterns within these smaller components. Focusing on the important details and leaving out irrelevant distractions.
www.learning-mind.com/computational-thinking-pro…• Break the task into smaller pieces (decomposition) • Recognize prior knowledge that they can apply to the task (pattern recognition) • Sift through to find the relevant details (abstraction) • Create a timeline and plan for execution (algorithms)
www.thetech.org/media/l0nasrfv/techtip_computati…They outlined four strategies that make up the computational thinking process: Decomposition - breaking a complex problem into smaller parts or questions Pattern recognition - identifying trends, differences or similarities in data Abstraction - removing unnecessary elements or data to focus on what’s useful in solving a problemwww.kqed.org/mindshift/59591/four-computational-t…Decomposition– breaking down a complex problem or system into smaller, more manageable parts Pattern recognition– looking for similarities among and within problems Abstraction– focusing on the important information only, ignoring irrelevant detailctpdonline.org/computational-thinking/Another characterization of computational thinking is the "three As" iterative process based on three stages:
- Abstraction: Problem formulation;
- Automation: Solution expression;
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