Types of computational thinking techniques
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There are four key techniques (cornerstones) to computational thinking:
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 detail
algorithms - developing a step-by-step solution to the problem, or the rules to follow to solve the problem
Each cornerstone is as important as the others. They are like legs on a table - if one leg is missing, the table will probably collapse. Correctly applying all four techniques will help when programming a computer.
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