What is computational thinking and why should we care?

In 2007, Jeannette Wing revolutionized the educational and technological landscape with the publication of her influential article, " Computational Thinking ." In this provocative piece, Wing vehemently advocated for the integration of computational thinking as a fundamental competency in the education of young people. Her underlying premise was that computational thinking not only represented a skill in itself but also constituted an essential element for learning in science, technology, engineering, and mathematics ( STEM ).

Now, it's natural to ask: What exactly is meant by computational thinking, and why should we pay attention to it?

Computational thinking is not merely an isolated technical skill or one exclusively related to programming. Rather, it is a comprehensive mental approach to tackling problems and devising solutions, grounded in the fundamental principles of computer science. While its application is particularly evident in programming, its scope extends far beyond and is relevant in diverse situations and professional fields. Essentially, computational thinking rests on four pillars: decomposition, patterns, abstraction, and algorithms. Through this perspective, we gain the ability to observe the world from a transformative and entirely new point of view.

• Decomposition: Let's say we're faced with a large and complex problem. This is where computational thinking comes into play, prompting us to break it down into smaller, more manageable parts. This approach allows us to analyze each component more deeply and solve them individually. Thanks to decomposition, we gain a clearer and more detailed view of the situation, allowing all the pieces to connect harmoniously to achieve the desired solution.

• Patterns: In a data-saturated environment, the ability to recognize patterns emerges as a critical skill for making informed decisions and anticipating future trends. This is where computational thinking plays a vital role by urging us to move beyond individual pieces of information and uncover meaningful connections within the data. By identifying recurring patterns, we can extract valuable insights and apply them in diverse situations, thereby improving the quality of our decisions and achieving more effective results.

• Abstraction: Abstraction gives us the ability to capture the essence of a problem by distilling unnecessary details and focusing on its core. This skill is not limited to the technological field but applies equally to problem-solving, creative thinking, and strategic thinking in all facets of life. By simplifying complex situations, we gain clarity and perspective, leading to more effective solutions and more precise and accessible communication.

• Algorithms: Algorithms form the very backbone of computational thinking. They represent sequences of logical steps that guide us toward an optimal solution. Although the term may sound technical, their presence is palpable in our daily lives. From following a recipe to developing a business strategy, algorithms provide us with a detailed roadmap for achieving goals efficiently and effectively.

In today's workplace, computational thinking skills have a significant impact by enhancing professional competence and are valuable in virtually every sector. They have become an indispensable tool for addressing the challenges that emerge in a constantly changing world. Furthermore, in a business context, they foster a proactive mindset among employees by enabling them to confront problems and design innovative solutions. This problem-solving approach translates into greater efficiency and creativity in decision-making.

Through approaches such as decomposition and the creation of step sequences, this perspective provides a structured and logical methodology for solving problems. It facilitates the ability to address complex challenges systematically and effectively.

_{Network based on computational thinking - Image taken from: Computational thinking and programming are NOT the same}

By adopting this approach, we develop a deeper understanding of which aspects of a problem can be addressed using computer science. This helps us identify opportunities to optimize processes, increase efficiency, and achieve more satisfactory results.

Furthermore, this perspective drives us to leverage computational techniques in innovative ways. It motivates us to think creatively and devise unique and cutting-edge solutions to the challenges we face. In a world where technology continues to merge with all facets of life, computational thinking emerges as an essential skill for successfully navigating this new era of constant change.

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July 2023