The importance of learning to think - Deepstash

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The importance of learning to think

Daniel Kahneman, psychologist and Nobel Prize winner, is one of the most important thinkers in the world. He points out that, these days, many people make decisions without reasoning at all. Instead, they decide using their impulses.

Computational thinking is the impetus for the future. Not only will it help us to solve problems more intelligently but it’ll also enable us to stay one step ahead of artificial intelligence.

Its steps

  1. Analysis. When you need to solve a problem, you need to analyze it beforehand.
  2. Abstraction. Is there a pattern? What strategy can I design? What comes to mind from past experiences related to this same situation?
  3. Expression of the solution or proposal. You need to make enough time to apply and test.
  4. Evaluation. Did I get the desired result or can I improve it in any way?
  5. Generalize and transfer. You can use what you’ve developed to apply it to other areas.

Computational thinking is based on four basic axes

  • Decomposing.  We can divide every task or problem into smaller parts in order to understand them better.
  • Knowing how to recognize patterns.  Every phenomenon responds to a pattern that we can identify.
  • Abstract thinking. Thanks to it, we can create original ideas or even foresee situations or scenarios to know how we’d act under those circumstances.
  • Algorithms. Thanks to them, we can elaborate a series of clear and simple instructions to face any given event.

What is computational thinking?

What is computational thinking?

Computational thinking is a high-level cognitive process that allows us to think scientifically when solving problems.

It is a skill that can open many doors in the future. Knowing how to formulate problems, organize information logically, or think abstractly are basic processes that formulate this valuable cognitive approach.

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