{"id":5257,"date":"2024-09-30T22:07:01","date_gmt":"2024-09-30T20:07:01","guid":{"rendered":"https:\/\/www.educationk.com\/?p=5257"},"modified":"2024-10-08T09:57:33","modified_gmt":"2024-10-08T07:57:33","slug":"coding-skills-why-it-is-important-to-develop-them-from-an-early-age","status":"publish","type":"post","link":"https:\/\/www.educationk.com\/en\/coding-skills-why-it-is-important-to-develop-them-from-an-early-age\/","title":{"rendered":"Coding skills: why it is important to develop them from an early age"},"content":{"rendered":"\n

Coding, or the ability to program, is an important tool to prepare children for the future. It is not just about teaching children how to build apps or games, but helping them develop a series of transversal<\/strong> skills that will make them better prepared to face the world of work and everyday life. <\/p>\n\n\n\n

Developing the skills of the future<\/strong><\/h2>\n\n\n\n

Developing coding skills from an early age goes well beyond the acquisition of a technical skill. In fact, coding helps build a series of soft skills<\/em> that are essential in an increasingly complex and technological world. These include logical thinking<\/strong>, problem-solving<\/strong>, creativity<\/strong> and collaboration<\/strong>. These are qualities that not only promote personal development, but that will be essential in the future work context, where jobs are becoming increasingly multidisciplinary and digitalized.

According to the World Economic Forum<\/em><\/a>, skills such as complex problem-solving<\/strong>, creativity<\/strong> and collaboration<\/strong> are among the most important for the labor market. In particular, digital literacy and understanding emerging technologies, such as programming, become essential to address the transformations driven by automation and artificial intelligence. <\/p>\n\n\n\n

Coding and computational thinking<\/strong><\/h2>\n\n\n\n

Coding is a useful tool to promote the development of computational thinking<\/strong>. Computational thinking is a mental process that allows you to solve problems of various kinds by following specific methods and tools chosen based on a planned strategy.

Computational thinking<\/strong> includes four main steps:<\/p>\n\n\n\n

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  • Decomposition<\/strong>, or breaking down a problem into more simple parts;<\/li>\n\n\n\n
  • Pattern recognition<\/strong>, or identifying similarities and differences between problems;<\/li>\n\n\n\n
  • Abstraction<\/strong>, which involves ignoring irrelevant details to focus on the fundamental aspects;<\/li>\n\n\n\n
  • Algorithm design<\/strong>, or creating a sequence of instructions to solve the problem.<\/li>\n<\/ul>\n\n\n\n

    Computational thinking also supports learning in STEM<\/strong> (science, technology, engineering and mathematics). Children and young people who practice coding learn to think like scientists, following a method that allows them to formulate hypotheses, test solutions and iterate until they reach the desired result. This type of learning develops the ability to think critically and approach problems objectively and rationally. <\/p>\n\n\n\n

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